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Research project description Minimally invasive surgery has revolutionized medicine by enabling interventions without large incisions, thereby significantly improving clinical outcomes. Such surgical techniques include insertions of needles, flexible snake-like continuum robots, and micro- and nano-robots. For effective medical diagnosis and treatment, the device must reach its intended target. In order to increase the targeting accuracy of the procedure and improve clinical outcomes, the goal of this research project is to develop new methods to design, manufacture, and control novel and micro/nano-robotic systems that mimic motion of organisms. Techniques would be developed to track and control the path of the novel devices using images (MR and ultrasound imaging modalities). You will build on the existing expertise in the lab in the micro-robotics and image-guided control of flexible surgical devices. The present project will be conducted within the Surgical Robotics Laboratory and the Department of Biomechanical Engineering. In addition there are excellent opportunities for close collaboration with the MESA+ Institute for Nanotechnolgy, and several institutions abroad.Requirements: You have a PhD degree in mechanical, biomedical, or electrical engineering, or applied physics or in a closely related discipline;You should possess excellent skills and practical experience in one or more of the following research areas: robotics, mechatronics, and nano-/micro-fabrication technologies. Experience at the intersection of one or more of these areas is desirable;You are proficient in English, both speaking and writing.Salary Benefits: A full-time contract for 12 months (with possibility of extension)A gross salary between € 3877 and € 5090 per month, depending on experience and qualifications;An annual holiday allowance of 8% of the gross annual salary, and an annual end of year bonus of 8.3%;An attractive pension scheme;Minimum of 29 leave days in case of full-time employment.Professional and personal development programs;The University of Twente is situated on a green and lively campus with lots of facilities for sports and other extracurricular activities.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-Tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioural, Management and Social Sciences (BMS). Background This Ph.D. position is one four positions at the University of Twente (UT) and one of 19 positions in the context of the international Marie Sk?odowska-Curie Actions project DIGITAL. For the general description of DIGITAL and its Ph.D. positions, please check this page. Information about all other positions is available at EURAXESS, if you would be interested in any of the other positions as well, clearly state that in your cover letter. DIGITAL' main goal? To significantly advance the methodologies and business models for Digital Finance through the use of five interconnected research objectives: Ensure sufficient data quality to contribute to the EU's efforts to build a single digital market for data;Address deployment issues of complex artificial intelligence models for real-world financial problems;Validate the utility of pioneering eXplainable Artificial Intelligence (XAI) algorithms to financial applications and extend existing frameworks;Design risk management tools concerning the applications of Blockchain technology in Finance;Simulate financial markets and evaluate products with a sustainability component.The challenge Reinforcement Learning (RL) has become a popular paradigm for automating decision-making under uncertainty in complex environments. Although deep RL has had several breakthroughs in recent years and proven impressive algorithmic performance in closed environments, it has not yet found its way to real-world applications in open environments. In practice, RL algorithms have to work with imperfect data, be integrated into existing ecosystems, and be of use to human decision-makers. Additionally, the financial sector is subject to heavy regulation and high standards concerning risk management, fairness, and explainability. Although successful integration of RL may enhance the quality of decision-making in digital finance, several hurdles need to be overcome. Thus, this Ph.D. project examines how RL can advance digital finance. You will address several RL implementation issues in digital finance, including both technical challenges and domain-specific ones. Utility-based RL results will improve financial decision-making by developing multi-criteria analysis, extreme scenarios, and risk management methods. RL in decision support will be optimized for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance ecosystem integration.Requirements: We look for a highly motivated, enthusiastic researcher who is driven by curiosity and has/is: General skills:Master’s degree or equivalent experience in Business, Economics, Engineering, Information Technology, Computational Science or related fields;A strong passion and outstanding skills in data science and experience working with programming languages and statistical software such as Python, R, Stata or SAS;Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research methods;The ability to work on real-world problems in an interdisciplinary and internationally oriented environment;Good communication skills and an excellent command of English.Project-specific skills:Good programming skills. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Jax) is helpful;Strong mathematical background, in particular statistics & probability, linear algebra, calculus, optimization, and Markov decision processes;Knowledge of data engineering concepts such as machine learning pipelines, product deployment, and data ingestion;Interest in practical applications of reinforcement learning, with attention to aspects such as explainability and regulation;Familiarity with reinforcement learning (machine learning) is a plus. Interested and motivated candidates are encouraged to apply, even when not yet possess all desired skills. Through self-driven learning and doctoral training, you will be able to develop relevant skills on the job. Secondments at Industry and the European Central Bank This Ph.D. position includes two research stays at industrial partners: Provisionally, you will be 18 months at CardoAI in Milan, Italy. Second, you will have six months at the European Central Bank (ECB) in Frankfurt, Germany. During those secondments, you will gain hands-on experience on industry-relevant research projects related to applications of AI in finance. Precise details are subject to change.Salary Benefits: We encourage high responsibility and independence while collaborating with colleagues, researchers, other university staff, and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a full-time 4-year Ph.D. position with a qualifier in the first year; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within the Twente Graduate School. It also includes: Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year;Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;29 holidays per year in case of full-time employment;A training program as part of the Twente Graduate School and the European MSCA Doctoral Training Programme on Digital Finance, where you and your supervisors will settle a plan for a suitable education and supervision;A green campus with free access to sports facilities and an international scientific community;A family-friendly institution that offers parental leave (both paid and unpaid);A full status as an employee at the UT, including pension, health care benefits, and good secondary conditions are part of our collective labor agreement CAO-NU for Dutch universities.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

We are looking for a motivated PhD candidate to delve into flow dynamics in offshore wind farms, developing novel computer simulations. As the scale of wind turbines and farms expands, particularly in offshore settings, they present novel challenges due to the unique atmospheric turbulence phenomena that remain largely uncharted. This PhD project, integral to the ERC consolidator WINDFLOW project, is dedicated to the development and application of novel large-eddy simulation techniques. Your research will illuminate the intricate dynamics between wind and waves, assessing their influence on the efficiency of offshore wind farms. This is a chance to advance knowledge in renewable energy and make a significant contribution to improving wind farm efficiency. Join us in shaping the future of sustainable energy.Requirements: We are seeking applications from motivated early-career researchers with a strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Proficiency in programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and actively contribute to team research efforts. Excellent communication skills and a willingness to share knowledge at conferences and meetings are highly valued. Proficiency in spoken and written English is essential. We encourage a high degree of responsibility and independence while collaborating with colleagues.Salary Benefits: This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research group with peers exploring similar themes. A full-time position for four years, with a qualifier in the first year.Salary and associated conditions are in accordance with the collective labor agreement for Dutch universities (CAO-NU).Access to novel research facilities, including top-tier supercomputers.Professional and personal development program within Graduate School Twente.Excellent mentorship and a stimulating international research environment.The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.A minimum of 29 holidays in case of full-time employment.Free access to sports facilities on campus.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The global initiative to complete the energy transition by 2040 puts tremendous pressure on governments and industries. The need for any nation to know the potential of its subsurface to meet the future demand for energy and raw materials, as well as its storage capacity (e.g. CO2, H2) and associated hazards (e.g. induced seismicity, subsidence), is more critical than ever for informing exploration efforts, strategic economic planning, environmental policies, and decision-makers. The Netherlands has invested a significant part of its GDP in data acquisition programs in the past 30 years. However, the formal integration and inversion of all available and complementary data (e.g. seismic, satellite, borehole, gravity, magnetic, etc.) have not been yet fully exploited for obtaining unifying, multi-parameter and internally consistent models of the subsurface at scales relevant for informing regional and nation-wide exploration efforts and strategic environmental planning. This project will develop novel ways of characterizing the physical state of the subsurface beneath the Netherlands via the formal integration of multiple geophysical, geochemical/petrological and petrophysical data into a single physics-based framework. Specifically, you will adopt and expand a simulation-based, multi-observable probabilistic platform (e.g. Afonso et al., 2016; 2022) capable of inverting all available datasets simultaneously. Advanced numerical (e.g. FE methods, reduced order methods) and inversion (e.g. AI-based, McMC-driven) techniques will be applied and expanded to create innovative multi-observable inversion platforms for subsurface characterization. You will collaborate closely with researchers at Delft University of Technology, Utrecht University, and the Polytechnic University of Catalonia. You will be a member of a large and dynamic geophysics/computational geodynamics team of PhD students and post-doctoral fellows.Requirements: MSc degree in Geophysics, Physics, Engineering Geology or equivalentEnthusiastic attitude to conduct research individually and as part of a teamExperience with geophysical datasets (e.g. seismic, potential fields, etc).Experience in scientific computer programming (e.g. Fortran, Matlab or Python)Familiar with Numerical Methods for Partial Differential Equations. Familiarity with geochemistry, inverse theory and/or thermodynamics is highly desirable, but not essential.Good communication and writing skills in EnglishSalary Benefits: An inspiring multidisciplinary, international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agendaFull-time position for 4 years with a qualifier in the first yearA professional and personal development programme within Twente Graduate SchoolGross monthly salary of € 2,770.- in the first year that increases to € 3,539.- in the fourth yearA holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%Excellent support for research and facilities for professional and personal developmentA solid pension schemeA total of 41 holiday days per year in case of full-time employmentExcellent working conditions, an exciting scientific environment, and a green and lively campusWork Hours: 40 hours per weekAddress: Drienerlolaan 5

In this role, you will delve into the analysis, implementation, and application of novel numerical methods to efficiently and accurately compute volume integral operators that lie at the core of powerful integral equation formulations of acoustic, elastic, and electromagnetic wave equations. These methods hold the potential to significantly enhance the accuracy, geometric flexibility, efficiency, and implementation costs of wave equation solvers. As a result, you will have the opportunity to make significant contributions to cutting-edge research at the intersection of computational mathematics and its applications in physics, engineering, and material sciences, with a specific focus on addressing direct and inverse problems in nanophotonics and plasmonics. You will be immersed in a vibrant, international, and interdisciplinary research environment, which provides ample opportunities for collaboration with other groups within the MESA+ Institute. Additionally, the position includes funding for a research visit to the POEMS Lab at CNRS/INRIA/ENSTRA-Paris, France. This presents a valuable opportunity to enrich your experience and broaden your professional network in the field.Requirements: You hold, or will soon obtain, an MSc degree in (Applied/Computational) Mathematics. Candidates with MSc degrees in (Applied) Physics or Electrical Engineering will also be considered, provided they can demonstrate sufficient mathematical knowledge.You have a strong background in Scientific Computing and Numerical Analysis.You possess solid programming skills.You have proficiency in English.Salary Benefits: As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;The University offers a dynamic ecosystem with enthusiastic colleagues;Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;The flexibility to work (partially) from home;A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.Free access to sports facilities on campusA family-friendly institution that offers parental leave (both paid and unpaid);You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;We encourage a high degree of responsibility and independence while collaborating with close colleagues, researchers and other staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The challenge As product developers gain a deeper understanding of the potential offered by additive manufacturing and the design flexibility it provides, metal laser powder bed fusion has gained its position in a wide range of applications. However, the current emphasis is mainly focused on mono and graded-material components. By incorporating multi-material components, it becomes feasible to leverage the specific advantages of different materials based on the requirements of each component. For instance, in high-temperature heat exchange applications, it is possible to combine wear- and heat-resistant nickel alloys with copper, which possesses excellent thermal conductivity. This project is grounded on a disruptive approach: the right material in the right place with an arbitrary 3D material layout, for obtaining site-specific properties. You will focus on the design aspects of structures with these new functional multi-materials: computational design of structural materials with a focus on Cu-based and Ni-based alloys in the same component. We would like to challenge you in the success of achieving such multi-material complex components that require a thorough understanding of the metallurgical structures, residual stresses, phase transformation, and crystallographic defects evolution under thermal mechanical loading conditions. You will closely work with other Ph.D. students and postdocs in our group to accomplish this goal. As part of the Professional Doctorate in Engineering (EngD) program, you'll undergo a tailored traineeship comprising courses, workshops, assessments, and deepening the theoretical understanding acquired during your university education. You will apply all knowledge gained in this multidisciplinary design project. Your training scheme is customized to your personal and professional skills and the demands of this project.Requirements: We are looking for an enthusiastic, professional, and ambitious graduated master's student, with the following profile:You have a master’s degree in the field of Materials Science, Mechanical Engineering, Thermal Engineering, Applied Physics, or a related discipline with a proven affinity to multidisciplinary assignments.You have a strong and demonstrable background in Computational Design, numerical modelling , and Additive Manufacturing at the graduate level.You have the ambition and talent to accelerate in finding solutions for complex technological issues with a multidisciplinary character.You have a creative mindset and excellent analytical and communication skills.You can work in a multidisciplinary team of researchers coming from various branches of science and industry.You are proficient in English.Salary Benefits: As an EngD at UT, you will be appointed to a full-time position for two years. You will join a stimulating scientific environment.The University offers a dynamic and stimulating environment with enthusiastic colleagues.You will receive a gross monthly salary of EUR 2.618,-There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.A solid pension scheme;A minimum of 29 holidays per year in case of full-time employment;We encourage a high degree of responsibility and independence while collaborating with close colleagues, researchers, and other staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The Computer Architecture for Embedded Systems CAES and Design and Analysis of Communication Systems DACS groups of the University of Twente have vacancies for two PhD (fully-funded, 4 years) and one postdoc (3 years) related to the use of energy flexibility of data centers. According to a recent report by the European Union), data centers in the EU accounted for an estimated 1.8–2.6% of total EU electricity use in 2022 while in the Netherlands this fraction is around 5%. These data centers are essential in the operation of digital services, and by that there is a growing need for improving their sustainability. Unfortunately, the energy systems of new data centers, industry and renewable energy generation cannot always be integrated due to a lack of grid capacity within the Netherlands. Furthermore, as the current growth of data centers increases this capacity problem further, this research project will work on mitigating this problem and develop solutions that allow datacenters to be better integrated in the electricity systems to make a positive contribution to addressing capacity issues and efficient use of renewable energy by shifting their demands in time and space using efficient orchestration algorithms. Project Description: The research is part of the MISD project and the candidates will become a part of a multidisciplinary team on energy management that consists of researchers from several research groups. The aim is to develop and integrate methods that support the integration of data centers in the energy grid by unlocking and using the flexibility in the operation of data centers to mitigate grid congestion and shift peak demands in space and time, e.g., to times of availability of renewable energy. The focus of this Post-doc position is as follows: the researcher (with a PhD researcher in the project) develops a methodology that allows task scheduling capabilities of the data center to be used for creating energy flexibility. The researchers will develop analytical models, simulation models, interfaces, and adapt and integrate continuum orchestration algorithms (e.g., smartly using edge computing resources and telco-edges) developed within the project. The researcher will directly work with dr. Suzan Bayhan and dr.ir. Marco Gerards. Altogether, the post-doc and PhD researchers collaborate on common tasks and integrate and evaluate their work with research by other researchers within the MISD project. Expected starting date: August 2024Tentative first interview date: 13 May or 15 May 2024. The 1st (online) meeting serves as an introduction, where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation. Tentative 2nd interview date: June 2024. In the second interview, we will further discuss the job content, your skills, and your talents.Requirements: We are looking for highly motivated researchers with the following profile: You have an MSc and PhD degree in Computer Science, Electrical Engineering, Mathematics, Sustainable Energy or in a related field,You have a good team spirit and like to work in a multidisciplinary, internationally oriented environment,You are familiar with analytical modeling, machine learning, optimization approaches, or are willing to develop skills in (some of) these areas,An understanding of computing and communication networks (e.g., edge/cloud computing) is a plus,You are eager to take responsibility also with supervision, project management, and organizational activities,You are proficient in English and able to collaborate intensively with industrial and academic parties in regular meetings and work visits.Salary Benefits: You will be appointed for a period of 3 years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues.Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU).Gross salary between € 3877.,- and € 5090,- per month depending on experience and qualifications.Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;The flexibility to work (partially) from home.Free access to sports facilities on campus.A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.Excellent support for research and facilities for professional and personal development.We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.We are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The Computer Architecture for Embedded Systems CAES, Design and Analysis of Communication Systems DACS, and Mathematics of Operations Research MOR groups of the University of Twente have vacancies for two PhD (fully-funded, 4 years) and one postdoc (3 years) related to the use of energy flexibility of data centers. According to a recent report by the European Union), data centers in the EU accounted for an estimated 1.8–2.6% of total EU electricity use in 2022 while in the Netherlands this fraction is around 5%. These data centers are essential in the operation of digital services, and by that there is a growing need for improving their sustainability. Unfortunately, the energy systems of new data centers, industry and renewable energy generation cannot always be integrated due to a lack of grid capacity within the Netherlands. Furthermore, as the current growth of data centers increases this capacity problem further, this research project will work on mitigating this problem and develop solutions that allow datacenters to be better integrated in the electricity systems to make a positive contribution to addressing capacity issues and efficient use of renewable energy by shifting their demands in time and space using efficient orchestration algorithms. Project Description: The research is part of the MISD project and the candidates will become a part of a multidisciplinary team on energy management that consists of researchers from several research groups. The aim is to develop and integrate methods that support the integration of data centers in the energy grid by unlocking and using the flexibility in the operation of data centers to mitigate grid congestion and shift peak demands in space and time, e.g., to times of availability of renewable energy. The focus of the PhD positions are as follows: ? PhD-1 (CAES and MOR groups) works on an energy management system that offers flexibility to electricity grid operators, minimizes energy costs and can decrease the CO2 footprint of data centers. For this, energy flexibility models, simulation models and algorithms that exploit this flexibility need to be developed and integrated. The researcher will directly work with dr. ir. Marco Gerards and prof.dr. Johann Hurink. ? PhD-2 (DACS and CAES groups) develops a methodology that allows task scheduling capabilities of the data center to be used for creating energy flexibility. The researcher (with a Post-doc working in the project) will develop analytical models, simulation models, interfaces, and adapt and integrate continuum orchestration algorithms (e.g., smartly using edge computing resources and telco-edges) developed within the project of PhD-1 (energy management system). The researcher will directly work with dr. Suzan Bayhan and dr.ir. Marco Gerards. Altogether, the researchers collaborate on common tasks and integrate and evaluate their work with research by other researchers within the MISD project. Expected starting date: August 2024Tentative first interview date: 13 May or 15 May 2024. The 1st (online) meeting serves as an introduction, where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation. Tentative 2nd interview date: June 2024. In the second interview, we will further discuss the job content, your skills, and your talents.Requirements: We are looking for highly motivated researchers with the following profile: You have an MSc degree in Computer Science, Electrical Engineering, Mathematics, Sustainable Energy or in a related field.You have a good team spirit and like to work in a multidisciplinary, internationally oriented environment.You are familiar with analytical modelling, machine learning, optimization approaches or willing to develop these skills.For PhD-2 position, an understanding of computing and communication networks (e.g., edge/cloud computing) is a plus.You are proficient in English and able to collaborate intensively with industrial and academic parties in regular meetings and work visits.Salary Benefits: As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;The University offers a dynamic ecosystem with enthusiastic colleagues;Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;The flexibility to work (partially) from home;A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.Free access to sports facilities on campusA family-friendly institution that offers parental leave (both paid and unpaid);You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The iron and steel industry are confronted with pressing challenges. Historically, the industry has heavily relied on carbon-intensive blast furnaces for iron-ore reduction, contributing significantly to greenhouse gas emissions. However, with global sustainability goals and stricter environmental regulations, there's a growing urgency for innovation. Tata Steel in the Netherlands is dedicated to revolutionizing iron manufacturing by transitioning from coal to gas-based direct reduction processes (DRI), utilizing hydrogen. This approach promises a substantial reduction in carbon emissions compared to traditional blast furnace methods, aligning with the industry's commitment to environmental responsibility. To achieve these goals, it is imperative to understand the intricate chemical reactions occurring on the iron surfaces during the direct reduction process. This understanding is crucial for ensuring controlled product quality and throughput. Inconsistencies can lead to inefficiencies, increased energy consumption, and lower product quality, which the steel industry can ill afford. Our project focuses on developing accurate particle models, validated through experiments, and scaling it up to a comprehensive process model. This model will simulate industrial direct reduction shaft furnace processes under various operating conditions, including temperature, pressure, pellet chemistry, and gas composition when transitioning from natural gas to hydrogen based DRI production.Requirements: You have a Master’s degree in Chemical Engineering with a solid background in reaction engineering, chemical processes, and separation technologiesYou have a high degree of responsibility and independence, while being able to collaborate with colleagues, researchers, and other staff membersYou have experience with experimental laboratory systemsYou have experience with modelling and simulation of (chemical) processes, ideally with the tools Aspen Plus, Aspen Custom Modeler, or equivalentYou are fluent in EnglishYou have good communication skills and can collaborate with external partners in regular meetings and work visitsSalary Benefits: You will be appointed on a fulltime position for four years.The university offers a dynamic ecosystem with enthusiastic colleagues in a stimulating scientific environment.The PhD salary is € 2.770 in the first year and increases to € 3.539 in the fourth year.The offer further involves a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8,3%, a solid pension scheme, a minimum of 29 holidays, and numerous professional and personal development programs.You will have a training program as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision. Free access to sports facilities on the green campus is granted.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Joining our team means contributing to a vital area of research. This PhD opportunity allows you to enhance your understanding of fundamental fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative simulation strategies enabling simulations with unparalleled detail. Join us in advancing the frontiers of wind energy research!Requirements: We are seeking applications from motivated early-career researchers with a strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and have excellent communication skills to actively contribute to team research efforts. You will present your work at international conferences. Proficiency in spoken and written English is essential. We value independence and responsibility while promoting teamwork and collaboration among colleagues.Salary Benefits: This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research group with peers exploring similar themes. A full-time position for four years, with a qualifier in the first year.Salary and associated conditions are in accordance with the collective labor agreement for Dutch universities (CAO-NU).Access to novel research facilities, including top-tier supercomputers.Professional and personal development program within Graduate School Twente.Excellent mentorship and a stimulating international research environment.The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.A minimum of 29 holidays in case of full-time employment.Free access to sports facilities on campus.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop a fundamental understanding of wind farms' large-scale impact on moisture transport, atmospheric stability, cloud dynamics, turbulent transport within the atmosphere, and the interactions between wind farms. This project represents an opportunity for us to advance our collective knowledge of fluid and atmospheric dynamics relevant to wind energy. Join us in pushing the boundaries of wind energy fluid mechanics research!Requirements: We are seeking applications from motivated early-career researchers with a strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and have excellent communication skills to actively contribute to team research efforts. You will present your work at international conferences. Proficiency in spoken and written English is essential. We value independence and responsibility while promoting teamwork and collaboration among colleagues.Salary Benefits: This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research group with peers exploring similar themes. A full-time position for four years, with a qualifier in the first year.Salary and associated conditions are in accordance with the collective labor agreement for Dutch universities (CAO-NU).Access to novel research facilities, including top-tier supercomputers.Professional and personal development program within Graduate School Twente.Excellent mentorship and a stimulating international research environment.The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.A minimum of 29 holidays in case of full-time employment.Free access to sports facilities on campus.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will examine the interplay between dynamic shifts in large-scale atmospheric conditions, as described by weather models, and the performance of large wind farms. This PhD provides the opportunity to develop novel insights into atmospheric dynamics and leverage this to improve wind farm efficiency. Join us in pushing the boundaries of wind energy fluid mechanics research!Requirements: We are seeking applications from motivated early-career researchers with a strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and have excellent communication skills to actively contribute to team research efforts. You will present your work at international conferences. Proficiency in spoken and written English is essential. We value independence and responsibility while promoting teamwork and collaboration among colleagues.Salary Benefits: This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research group with peers exploring similar themes. A full-time position for four years, with a qualifier in the first year.Salary and associated conditions are in accordance with the collective labor agreement for Dutch universities (CAO-NU).Access to novel research facilities, including top-tier supercomputers.Professional and personal development program within Graduate School Twente.Excellent mentorship and a stimulating international research environment.The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.A minimum of 29 holidays in case of full-time employment.Free access to sports facilities on campus.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop novel LES to investigate the interaction among clouds on wind farm performance and atmospheric transport processes. This presents an opportunity to push the boundaries of fundamental fluid and atmospheric dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the atmosphere. Join us in pushing the boundaries of wind energy fluid mechanics research!Requirements: We are seeking applications from motivated early-career researchers with a strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and have excellent communication skills to actively contribute to team research efforts. You will present your work at international conferences. Proficiency in spoken and written English is essential. We value independence and responsibility while promoting teamwork and collaboration among colleagues.Salary Benefits: This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research group with peers exploring similar themes. A full-time position for four years, with a qualifier in the first year.Salary and associated conditions are in accordance with the collective labor agreement for Dutch universities (CAO-NU).Access to novel research facilities, including top-tier supercomputers.Professional and personal development program within Graduate School Twente.Excellent mentorship and a stimulating international research environment.The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.A minimum of 29 holidays in case of full-time employment.Free access to sports facilities on campus.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

This doctoral research will be at the intersection of sparsity and artificial intelligence. The research will investigate the potential of sparse-to-sparse training of deep neural networks within reinforcement learning frameworks. This innovative approach holds promise for creating highly efficient and scalable AI systems capable of learning with limited data and computational resources, pertinent in areas such as autonomous systems, online resource allocation, and complex decision-making processes. Main Responsibilities: Conduct original research on sparse-to-sparse training techniques, exploring new frontiers in algorithmic development for DRL.Investigate the mathematical underpinnings of sparsity in deep reinforcement learning and its effects on learning dynamics, and generalization.Design and evaluate experiments to validate the effectiveness of sparse-to-sparse training in various scenarios and benchmarks.Publish and present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD).Collaborate with a international team of researchers and industry partners. The successful candidate will be embedded in the DMB research group, and the supervision will be ensured by Dr. Elena Mocanu and Prof. dr. Maurice van Keulen. This PhD position is part of the Modular Integrated Sustainable Datacenter (MISD) project and will have ample collaboration opportunities. As part of the MISD project effort led by Elena Mocanu, we are opening multiple positions (two Ph.D. candidates and one PostDoc) to join us and work at the intersection of dynamic sparse training in neural networks on various tasks. Useful links: Elena Mocanu webpageDMB research groupMISD projectSample of our work on sparsityRequirements: The candidate is expected to have A master degree (or will shortly, acquire) in Artificial Intelligence, Computer Science, Mathematics, Engineering, or a related discipline.Excellent skills in machine learning and deep learning (experience with deep reinforcement learning is a plus).Excellent programming skills (e.g. Python, PyTorch).Experience with sparsity in computational models is a plus.Good communication skills, with proficiency in English (written and oral).Salary Benefits: As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;The University offers a dynamic ecosystem with enthusiastic colleagues;Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;The flexibility to work (partially) from home;A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.Free access to sports facilities on campusA family-friendly institution that offers parental leave (both paid and unpaid);You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The department of Advanced Organ bioengineering and Therapeutics AOT of the Faculty of Science and Technology (TNW), has an opening of a 4-year PhD position on the “Development of a BioArtificial Kidney device consisting of living membranes for improved kidney replacement therapy, BAKtothe future. Patients with end stage kidney disease (ESKD) need kidney replacement therapy (KRT) to survive, but current solutions (dialysis, kidney transplantation) are insufficient. The majority of ESKD patients is dependent on dialysis which places a heavy burden on their life. Removal of uremic toxins is inadequate, as all current dialysis therapies only mimic the filtration by kidney glomeruli, and do not replace any functionality of kidney tubules. BAKtotheFuture aims to develop a Bioartificial Kidney (BAK) that mimics tubular functionalities as an indispensable addition to current dialysis techniques. Our earlier studies have shown the proof of concept of a small scale BAK system consisting of living membranes of kidney proximal tubular cells cultured on polymeric hollow fibres. The current project aims to optimise the living membranes by using combined computational and experimental approaches and develop an upscaled BAK for in vivo validation in a rat model of kidney failure. This PhD project will be focused on novel strategies for achieving upscaling of the BAK. For achieving this, new types of artificial membranes would be developed, cell cultures protocols on these membranes would be optimised and uremic solutes removal from blood, by the new device, should be performed. The project will be performed in collaboration with researchers from Utrecht University (Prof. R. Masereeuw), Maastricht University (Dr. Carlier) and UMC Utrecht (Dr. K. Gerritsen).Requirements: We are looking for a candidate with a MSc degree in biomedical engineering, biomedical sciences, cell biology or related fields. The ideal candidate should have: An enthusiastic and highly motivated research attitude.Knowledge or experience in biomaterials – cell interactions and membrane technology, which are preferred.The ability to work independently and possess excellent theoretical, experimental, and writing skills.Excellent English writing and presentation skills.Experience mentoring BSc and MSc students and collaborating effectively with multidisciplinary team members. It is therefore essential to demonstrate a willingness to look beyond disciplinary boundaries.Salary Benefits: Fulltime position for 4 yearsThe university offers a dynamic ecosystem with enthusiastic colleagues in a stimulating scientific environment.The starting salary, depending on your experience, ranges between € 2.770,- and € 3.539 ,-A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.The number of holiday hours for full-time employment is 232 hours per calendar year.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The vacancy is focused on calibration in deep learning. Deep Neural Networks (DNNs) have demonstrated significant predictive capabilities across various domains including computer vision, speech recognition, and natural language processing. Existing sophisticated neural network architectures are frequently integrated into practical applications. However, recent research has highlighted a crucial issue: despite their high accuracy achieved through training, deep neural networks often have overconfident and underconfident predictions. Deploying uncalibrated models in real-world systems poses substantial risks, particularly in safety-critical contexts like monitoring critical infrastructure systems. Calibrating deep learning models is essential to mitigate this risk, ensuring that the model's posterior distribution accurately represents uncertainty without being excessively overconfident. The PhD candidate is supposed to carry out research on calibration in deep learning at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in the Netherlands. The candidate is expected to closely collaborate with the project partners such as Vrije Universiteit, Saxion, TNO-ESI and industrial partners ASML, Canon Production Printers, ITEC, Philips, and ThermoFisher Scientific. The main research objectives are: Conduct research in calibrating AI, including but not limited to designing and implementing calibrated deep neural models, conducting experiments, analyzing data, and interpreting results.Collaborate with the team to explain the root causes of model miscalibration, optimize diagnostic processes for monitoring for Cyber-Physical System diagnostics.Write technical reports and research papers for publication in top-tier journals and conferences (Percom, Ubicomp, IPSN, SenSys, IJCAI, AAAI, NIPS, ICML).Requirements: The ideal candidate has a Master’s degree in either Computer Science, Electronic Engineering, Telecommunication Engineering, or MathematicsYou have solid background and strong experience in deep learningFamiliarity with Cyber-Physical Systems and systems diagnosticsYou should be interested in solving analytical tasks, conduct experiments, and develop prototypes, combined with intermediate programming skills (e.g. in R, Python or C-something)Prior experience in calibrating AI, generative AI is a plus (with frameworks such as TensorFlow and Pytorch)You have a strong personality to defend your research ideas not only at university but also in an industrial contextYou have good communication skills, and you have a strong interest in operating at the crossroads of different disciplinesYou have an excellent command of English (C1; above IELTS 6.5 or equivalent)You are able to do independent research and have publication skillsSalary Benefits: As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;The University offers a dynamic ecosystem with enthusiastic colleagues;Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;The flexibility to work (partially) from home;A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis;Free access to sports facilities on campusA family-friendly institution that offers parental leave (both paid and unpaid);You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.Work Hours: 40 hours per weekAddress: Drienerlolaan 5

The Chair Engineered Therapeutics within Advanced Organ Bioengineering and Therapeutics group at the University of Twente has a postdoc position funded by the Dutch Cancer Foundation (KWF). Pancreatic cancer is one of the deadliest cancer types with a dismal survival rate of only 8%. A major problem is that patients are diagnosed at late stages in which curative treatments are hardly possible. Lack of clinical samples from early stages of the cancer does not allow identify biomarkers to diagnose tumor at early stage. The project aims to develop novel engineered 3D tumor models that mimic the early stage of pancreatic tumor and identify early diagnostic biomarkers using this model and validate with clinical samples. As a postdoctoral researcher, you will collaborate closely with a multidisciplinary team, including Amsterdam University Medical Centre and international industrial partners. Your primary goal will be to develop advanced 3D tumor models with an engineering perspective using your knowledge and expertise in biomedical engineering and lab-on-chip systems. At the same time, you will be performing sophisticated biological assays, multi-omics approaches to validate and benchmark the models and find biomarkers. This position offers a unique opportunity to make a significant impact in the early diagnostics of this deadly cancer while advancing your career in academia.Requirements: For this position we are seeking an ambitious candidate with a doctoral degree in biomedical engineering, bioengineering, or a related field with experience in cancer biology. A solid background in developing 3D in vitro models, particularly in lab-on-chip technology, and 3D bioprinting tools is essential with a good understanding of cancer biology. Knowledge and hand-on experience in Computer Aided Design, MATLAB, bioinformatics, and biomarkers is highly appreciated. We expect to have excellent communication skills and a collaborative mindset. The candidate needs to have a strong track record of scientific writing, evidenced by peer-reviewed publications in the field. You are fluent in English and able to collaborate with external parties in regular meetings and work visits.Salary Benefits: Fulltime position for 2.5 years (or a part-time position (0.8 fte) for 3 years, to be negotiated)The university offers a dynamic ecosystem with enthusiastic colleagues in a stimulating scientific environment.The salary amounts, depending on education and experience, minimal € 3.877,- to a maximum of € 5.090,- gross per month in case of a fulltime employment.A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.The number of holiday hours for full-time employment is 232 hours per calendar year.Professional and personal development programmes.Work Hours: 32 hours per weekAddress: Drienerlolaan 5

You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training programme with several leading European universities and companies involved, such as the European Central Bank (ECB) and the Bank for International Settlements (BIS), where you will spend at least 18 months in total. In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of an intelligent search bot that maximises AI technologies to improve the accessibility and user experience of public data portals. Further research will focus on ML techniques and NLP to improve supervisory technology (Suptech) methods. Both topics are relevant and of interest to the ECB and BIS, e.g. as part of their tool Olympus, that provides support in various areas, such as advanced analytics, process automation and digital collaboration. You will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioral Management and Social Sciences (BMS). Background This Ph.D. position is one four positions at the University of Twente (UT) and one of 19 positions in the context of the international Marie Sk?odowska-Curie Actions project DIGITAL. Information about all other positions is available at EURAXESS, if you are interested in any of the other positions as well, clearly state that in your cover letter. DIGITAL' main goal is to significantly advance the methodologies and business models for Digital Finance through five interconnected research objectives: Towards a European financial data spaceArtificial intelligence for financial marketsTowards explainable and fair AI-generated decisionsDriving digital innovations with Blockchain applicationsSustainability of Digital Finance Those are all key strategic priorities of the European Commission over the next five years. The challenge A competitive European financial sector is vital for the modernization of the European economy across sectors and to turn Europe into a global digital player. Are you prepared to reshape the financial sector by doing research on those topics? If this resonates with you, this position could be your ideal opportunity!Requirements: You are a highly motivated, enthusiastic researcher who is driven by curiosity and has: Skills and Prerequisites: Master’s degree or equivalent experience in Business, Economics, Engineering, Information Technology, Mathematics, Computational Science or related fields;A strong passion and outstanding skills in data science and experience working with Python;Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research methods;The ability to work on real-world problems in an interdisciplinary and internationally oriented environment;Good communication skills and an excellent command of English;Knowledge and experience with ML design and implementation, working with multiple libraries/platforms (e.g., Pandas, Sklearn, Conda, Github, etc.). Experience with natural language processing, especially LLM is a plus;Strong mathematical background, in particular statistics & probability, linear algebra, calculus and optimization;Interest in practical applications of ML and AI, with attention to aspects such as explainability, ethics, and honest usage of customer data;Familiarity with international organizations and banking regulations is a plus. The researcher working on this project will be a member of the coordinator team and the doctoral training team, thus contribution to coordination (research, technical, or financial) and other activities of the MSCA Doctoral Network is a substantial element of the candidate's work and professional development plan. The Ph.D. development includes a large number of aspects, from scientific publications, building industry prototypes, communication and dissemination activities, public outreach to longer-term impact and results We further emphasize that all Ph.D. candidates in DIGITAL will collaborate, therefore involvement and contribution to the topics and activities of DIGITAL is an important element of this position. Interested and motivated candidates are encouraged to apply, even when they do not yet possess all desired skills. Through dedicated learning and doctoral training, you will be able to develop relevant skills on the job.Salary Benefits: We encourage high responsibility and independence while collaborating with colleagues, researchers, other university staff and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a full-time 4-year doctoral position with a qualifier within 12 months; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within this European network. It also includes: Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year;Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;29 holidays per year in case of full-time employment;A training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;A green campus with free access to sports facilities and an international scientific community;A family-friendly institution that offers parental leave (both paid and unpaid);A full status as an employee at the UT, including pension, health care benefits, and good secondary conditions are part of our collective labor agreement CAO-NU for Dutch universities. Secondments at Industry, the Bank for International Settlements and the European Central Bank This position includes several research stays at industrial partners. Placements will likely include 11 months at the BIS and 12 months at the European Central Bank (nationality restrictions apply). During those secondments, you will gain hands-on experience on industry-relevant research projects related to applications of AI in finance. The details of the secondments can change in terms of durations as well as companies. Compliance with the European mobility rule for MSCA positions is required, please check carefully before applying.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5

The challenge The societal and natural pressures (e.g. climate change) on the rivers and riverine environment are increasing and become increasingly complex to manage, in particular regarding flood risk. Understanding impact of multiple human activities on hydraulics and morphodynamic developments hence is one of the main challenges we face. Dike management focuses on strength of the dike taking the river water levels as boundary conditions This PD project aims at determining the combined effect of river management and dike design to enable robust, ecologically friendly and cheaper solutions. To further strengthen our group we are looking for a postdoctoral researcher with expertise in process-based modelling of river hydraulics, river flood predictions and hydrodynamic aspects of flood resilient landscapes (floodplains and foreshores). Knowledge of dike stability processes and river morphodynamics is advantageous. This postdoc will be responsible for helping the UT-staff in leading the case Rhine river and the research line flood resilient landscapes in the NWO-funded perspective program Future Flood Risk Management Technologies for river and coasts, in which 4 universities and over 30 industry/governmental partners collaborate. Teaching: The new Postdoc will be invited to assist in teaching tasks of the group, e.g. supervising practical classes in the BSc course in Fluid Dynamics, the MSc courses in river dynamics, Building with Nature and/or the MSc Hydraulic modelling course. (S)he will also supervise graduation projects at BSc and MSc level. The total teaching load will be at max 10%. Research: We are looking for an independent researcher who is able to identify the academic questions in practical applications related to marine dynamics and vice versa: to translate academic research results into engineering practice. Publishing on these subjects in scientific journals, as well as presenting them on conferences and in user meetings, is a logical part of the research. General: The candidate has a successful track record in (numerical) modelling of river dynamics and applicable modelling techniques. We look for a person who is enthusiastic about working in a team of academics, and who feels committed to teaching (in the BSc and MSc programmes in Civil Engineering and Management) and to supervising junior researchers. The candidate has excellent writing skills and is capable and willing to maintain good (national and international) contacts with consultants, knowledge institutes and the government.Requirements: PhD in river dynamics or dike strength from a background in Civil Engineering, Environmental Fluid Dynamics, Applied Mathematics or related disciplineStrong publication recordYou have excellent writing skillsYou have good teaching skills and teaching experience is a plusYou have good coaching skills (BSc and MSc-students)You are a team playerYou have good communication skills (in English and preferably also in Dutch)Salary Benefits: We offer a 2-year fulltime position (or equivalently longer if part-time employment is preferred) in an enthusiastic team. The postdoctoral position may also be extended, depending on other projects in the groupThe university offers a fun and dynamic environment with enthusiastic colleagues where cooperation with other researchers is stimulatedA gross salary between € 3.877,- and € 5.090,- per month (depending on experience and qualifications) and a solid pension scheme. Salary and conditions are in accordance with the Collective Labour Agreement (CAO) of the Dutch Universities.Excellent research facilities and the possibility to work with departments;A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8,3%A minimum of 29 holidays in case of full-time employment, and possibilities to save up holidays for sabbatical leaveAn inspiring multidisciplinary and challenging international and academic environmentWork Hours: 40 hours per weekAddress: Drienerlolaan 5

The goal is to resolve how financial settings can adapt practices or propose solutions for designing green credit scoring models. This will facilitate improved access to investment and credit, thereby promoting fair and sustainable economic growth. You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training programme with several leading European universities and companies involved, such as the European Central Bank and the Bank for International Settlements. You will attend several European PhD courses and participate in extended research stays abroad. You will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioral Management and Social Sciences (BMS). Background This PhD position is one four positions at the University of Twente (UT) and one of 19 positions in the context of the international Marie Sk?odowska-Curie Actions project DIGITAL. For the general description of DIGITAL, please check this page. Information about all other positions is available at EURAXESS, if you would be interested in any of the other positions as well, clearly state that in your cover letter. DIGITAL' main goal? To significantly advance the methodologies and business models for Digital Finance through five interconnected research objectives: Ensure sufficient data quality to supply to the EU's efforts of building a single digital market for dataAddress deployment issues of complex artificial intelligence models for real-world financial problemsValidate the utility of innovative explainable artificial intelligence (XAI) algorithms to financial applications and extend existing frameworksDesign risk management tools concerning the applications of Blockchain technology in FinanceSimulate financial markets and evaluate products with a sustainability component The description here focuses on the specific position "Modelling green credit scores for a network of retail and business clients" (mainly included in objective #5), outlining the project's key takeaways and desired skills of future members of the network. The challenge In an ever-evolving financial landscape where the process industry responds to the growing demand for sustainable business models, the significance of AI in shaping decision-making cannot be overstated. Using the power of Machine Learning (ML) models, our project will examine financial investments and credit risk indicators. While these AI techniques have found widespread application in traditional financial domains, a noticeable gap exists in addressing the unique dynamics of businesses. Existing financial models often overlook the environmental and social intricacies of credit risk models, elements that can significantly impact access to credit and thereby hamper economic growth. This Ph.D. project is committed to a comprehensive exploration of the intersection between finance and sustainable business models, with a specific focus on credit risk assessment through the use of AI. Our goal is to provide innovative AI tools and models to businesses and society to promote sustainable financial strategies based on principles of sustainability, fairness, and transparent credit risk assessment. Are you prepared to reshape the financial sector by improving risk assessments and investment choices, all while advocating for sustainability and environmental stewardship? If this resonates with you, this position could be your ideal opportunity!Requirements: You are a highly motivated, enthusiastic researcher who is driven by curiosity;You have a master’s degree or equivalent experience in Business, Economics, Engineering, Information Technology, Mathematics, Computational Science or related fields;You have a strong passion and outstanding skills in data science and experience working with Python;You have knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research methods;You have the ability to work on real-world problems in an interdisciplinary and internationally oriented environment;You have good communication skills and an excellent command of English.You have good programming skills. Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is required.You have knowledge and experience with ML design and implementation, working with multiple libraries/platforms (e.g., Pandas, Sklearn, Conda, Github, etc.).You have strong mathematical background, in particular statistics & probability, linear algebra, calculus, optimization, and Markov decision processes.You have knowledge of financial engineering concepts such as credit risk assessment and mitigation, probability of default, credit portfolio management.You have interest in practical applications of ML and AI, with attention to aspects such as explainability, ethics, and honest usage of customers' data.You have familiarity with credit risk modeling processes and regulations is a plus.The researcher working on this project will be a member of the coordinator team and the doctoral training team, thus contribution to coordination (research, technical, or financial) and other activities of the MSCA Doctoral Network is a substantial element of the candidate's work and professional development plan. We further emphasize that all Ph.D. candidates in DIGITAL will collaborate, therefore involvement and contribution to the topics and activities of DIGITAL is an important element of this position.Interested and motivated candidates are encouraged to apply, even when they do not yet possess all desired skills. Through dedicated learning and doctoral training, you will be able to develop relevant skills on the job.Salary Benefits: We encourage high responsibility and independence while collaborating with colleagues, researchers, other university staff and partners.We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO).Our offer contains: a full-time 4-year doctoral position with a qualifier within 12 months; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within this European network.Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year;Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;29 holidays per year in case of full-time employment;A training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;A green campus with free access to sports facilities and an international scientific community;A family-friendly institution that offers parental leave (both paid and unpaid);Professional and personal development programmes;The university offers a dynamic ecosystem with enthusiastic colleagues and contacts with industry and society;A full status as an employee at the UT, including pension, health care benefits, and good secondary conditions are part of our collective labor agreement CAO-NU for Dutch universities.This position includes two research stays at industrial partners. First, you will spend 18 months at Swedbank in Vilnius, Lithuania. The second placement is at the European Central Bank (ECB) in Frankfurt, Germany, for four months. During those secondments, you will gain hands-on experience on industry-relevant research projects related to applications of AI in finance. The details of the secondments can change, both the duration and the companies. European mobility is required.Work Hours: 38 - 40 hours per weekAddress: Drienerlolaan 5