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The department of Neonatology of the Maastricht University Medical Center (MUMC+) and the laboratory of Pediatrics of Maastricht University (UM) have received a grant from the Dutch Brain Foundation to study ‘Optimal timing of cell therapy for cerebral palsy after perinatal asphyxia’. The PhD position is funded by this grant and a matching fund from the Center of Integrative Neuroscience of Maastricht University. We are looking for a talented PhD candidate who will use advanced multiscale neuroimaging to longitudinally test the efficacy of cell therapy in combination with therapeutic hypothermia in a preclinical sheep model of perinatal asphyxia. Our team offers you an exciting learning environment in the fields of translational neonatology and multiscale neuroimaging. The supervising team consists of dr. Reint Jellema (pediatrician-neonatologist in Maastricht UMC+), dr. Tim Wolfs (head of the laboratory of Pediatrics of Maastricht University), prof. dr. Alard Roebroeck (head of Computational Brain Connectivity lab (CBClab) of Maastricht University). The PhD candidate will be responsible for: Contribution to the full project plan (under supervision);Providing hands-on support in sheep research;Acquisition, postprocessing and analyzing longitudinal MRI data;Prepare progress reports, write academic publications (under supervision);Present research outcomes at national and international conferences;Active contribution to other research activities within the larger research group;Setting up and/or maintaining (inter-) national collaborations within the field;Keeping up with the relevant scientific literature within the field of study;Supervision of research assistants, biotechnicians and students, where appropriate;Completing a PhD thesis in 4 years.Requirements: Candidates should hold a Master degree (MSc) in Biomedical Engineering, Technical Medicine or Biomedical Science or a related (bio-)medical engineering MSc with a strong image acquisition and analysis component. There is a preference towards candidates holding a technical degree and a trackrecord in MRI neuroimaging. The preferred candidate is a team player with excellent collaboration and communication skills, including speaking Dutch or English fluently. Finally, the candidate should have a strong drive to participate in preclinical sheep research.Salary Benefits: As PhD-candidate at Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:Good employment conditions. The position is graded in scale P according to UFO profile Promovendus, with corresponding salary based on experience ranging from €2770,00 and €3539,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow.At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply.Work Hours: 38 hours per weekAddress: P. Debyelaan 25

Who we are The department Cognitive Neuroscience (CN) is hosted at the Faculty of Psychology and Neuroscience (FPN) at Maastricht University (UM), and currently consists of 33 permanent staff members and about 60 temporary staff (PhD candidates and postdocs). We are a collaborative group that investigates the neural processes that underlie human cognitive functions, including perception, attention, emotion, memory, learning, language and neurocognitive development. CN takes a unique approach to this endeavor by combining a variety of approaches to measure brain activity (e.g., using magnetic resonance imaging [MRI], electroencephalography [EEG], psychophysics) and to manipulate brain activity and overt behavior through non-invasive brain stimulation (NIBS) and neurofeedback. The department combines experimental skills with methodological development and theoretical or computational perspectives to investigate the neural correlates of cognitive processes at a range of spatial and temporal scales. In addition to a fundamental approach, much of the research also links with applications, related to, e.g., the development of BCIs to help locked-in patients, the treatment of depression, and the remediation of dyslexia. Some more information about the department can be found here. Job description We are looking for an assistant professor with broad mathematical, statistical, and computational expertise in the analysis and modelling of cognitive neuroscience data. Specifically, we are looking for a staff member who can apply analysis and modeling to various kinds of neurocognitive data, varying from (f)MRI data, over EEG data, to data from invasive recordings (e.g., obtained with ECoG or depth probes). In general, your research interests should fit within the broad array of fundamental and applied topics covered within CN. We expect that you are passionate about research and enjoy collaborating with other staff within and beyond CN. In particular, we look for someone whose own research is focused on improving existing and developing novel statistical and computational models for advanced neuroimaging data analysis and statistical inference. Moreover, we look for someone who gets satisfaction from enriching the research of others by offering contributions in analysis and modeling. Note that the latter contributions to research in the department are now also explicitly recognized in the new Recognition and Reward HR policies instated at Maastricht University and are accepted as one of the means towards career development. In the staff member we hope to find, this open and helpful attitude is prioritized over building a specific individualized research line, and team science is prioritized over being individually successful in grant acquisition. We also hope you are an enthusiastic teacher, as the time commitment on the advertised positions entails 50/50 teaching and research. In 2024, FPN (together with the Faculty of Health, Medicine and Life Sciences and the Faculty of Science and Engineering) launches a BSc in Brain Science, where the majority of your teaching will take place. In particular, your data science expertise will be in demand for teaching mathematics, statistics and programming courses, and for contributing that expertise to content courses that are still in development. We expect that you have had formal training in mathematics and have experience in teaching topics ranging from algebra and calculus, to machine learning or biophysical modeling. For students writing a bachelor or master thesis with a strong data science or modeling component, you may be asked to be an internship or thesis (co)supervisor. You are also expected to be a team player with an open communication and effective management style. Once you are settled in, you should be ready to fulfil administrative roles or committee work in the faculty.Requirements: RequirementsYou have a PhD in Computational Neuroscience, Biomedical Sciences or Engineering, Artificial Intelligence, Data Science, Mathematics or Physics;You must have strong analytical/computational skills and be interested in human functional brain data; In particular, you should have experience in developing or applying computational models and/or advanced signal analysis techniques in cognitive neuroscience (i.e., applicable to human behavioural, neuroimaging, or neural data);You should have experience as a Postdoc, and possess a publication track record that shows aptitude in applying data science skills and/or computational modeling skills to human neuroscience or neuroimaging data;You display outstanding quality in research, and you enjoy and promote interdisciplinary team science. Excellent English communication skills are essential. Knowledge of Dutch is not required.You are an experienced and enthusiastic teacher and have demonstrated skill in teaching programming, statistics and mathematics courses.We expect that you are willing to help colleagues in the analysis or modeling of their empirical data, either within collaborative projects, or purely in a collegial manner.Salary Benefits: What we offerAs an Assistant Professor at Faculty of Psychology and Neuroscience, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:Good employment conditions. The position is classified in pay scale 11 according to UFO profile Assistant Professor 2, with a corresponding salary based on experience between €4332,00 and €5929,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.An employment contract for a period of 12 months with a scope of 1.0 FTE. Upon proven suitability, the employment contract will be converted to an indefinite contract. Your development goals will also allow you to grow further to the position of assistant professor level 1.At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply.Work Hours: 38 hours per weekAddress: Universiteitssingel 40

We seek an enthusiastic postdoctoral researcher with an internationally excellent research track record to develop or apply novel biomaterials for dynamic organoid cultures. The candidate will engage in research related to discovering and engineering biomaterials for the control, differentiation and patterning of various organoid systems, such as kidney and intestinal organoids as well as stem cell-derived embryo models. Stem cells, including induced pluripotent stem cells, demonstrate an impressive self-organizing capacity when cultured in a three-dimensional (3D) context. Their capability to form complex organ-like/organism-like structures holds the potential to mimic organogenesis and embryonic development in vitro. Although their potential is undisputed, current organoids typically only partly represent natural tissue architecture, still lack maturity, and are generally characterized by a high heterogeneity. Currently, the impact of the physical and local environment on organoid development is poorly understood, while the use of soluble factors to guide development is better explored. To address this dichotomy, we are looking for a motivated candidate with a solid background in biomaterials, bioengineering, or organoid culture who is interested in multidisciplinary research. The successful candidate could be a materials scientist with a strong affinity for developmental/cell biology, or a biologist with a strong affinity for the use of innovative materials to steer living systems. This work will be a close collaboration between two established research groups at MERLN. We aim to build upon our previous expertise in biomaterials for organoids and bioprinting and combine this with expertise in engineering systems to better understand developmental biology. The fully funded 2,5-year postdoc position (1+1,5 year contract) will be embedded between labs comprising a multidisciplinary team consisting of biologists, chemists, and bioengineers. The project has two primary aims 1) controlling organoid formation from pluripotent stem cells to better understand cell-cell communication and the role of signalling centres during tissue patterning and how tissue boundaries can be constituted and maintained on a long-term basis in vitro; 2) developing dynamic microenvironments from responsive or instructive biomaterials in order to guide or understand 1) in more detail. The candidate will employ advanced biomaterials systems (dynamic covalent, supramolecular, light responsive, 3D printable inks) to create spatiotemporally controlled dynamic culture of organoids to further elucidate and control mechanisms of de novo pattern formation. Key references:Teixeira Carvalho, D.J., Moroni, L. & Giselbrecht, S. Nature Reviews Materials 8, 147–164 (2023). https://doi.org/10.1038/s41578-022-00523-zSamal P, …, Giselbrecht S. Advanced Materials 2020 Jun;32(24):e1907966. doi: 10.1002/adma.201907966.Kakni P, …, Giselbrecht S. Journal of Tissue Engineering 2023 Jan 18;14:20417314221149208. doi: 10.1177/20417314221149208.Shahzad Hafeez, Monize Caiado Decarli, Agustina Aldana, Mahsa Ebrahimi, Floor AA Ruiter, Hans Duimel, Clemens van Blitterswijk, Louis M Pitet, Lorenzo Moroni, Matthew B Baker. Advanced Materials, 2023, 35, 2301242. https://doi.org/10.1002/adma.202301242Floor AA Ruiter, Francis LC Morgan, Nadia Roumans, Anika Schumacher, Gisela G Slaats, Lorenzo Moroni, Vanessa LS LaPointe, Matthew B Baker. Advanced Science, 2022, 20, 2200543. https://doi.org/10.1002/advs.202200543The successful candidate will join the “Morphogenetic Micro Engineering” laboratory of Dr. Stefan Giselbrecht in the MERLN Institute for Technology-Inspired Regenerative Medicine at Maastricht University (https://merlninstitute.com/merln/morphogenetic-micro-engineering), and the “BioMatt” group of Dr. Matthew Baker (https://biomattgroup.com/). Working at MERLN means you will join an international network of researchers from ~25 nationalities spanning multiple disciplines. We are a collaborative and interdisciplinary group with diverse expertise, including biomaterials, chemistry, tissue engineering, microfabrication, and cell biology. We work in newly renovated laboratory facilities with state-of-the-art equipment. We have a long history as leaders in the field of tissue engineering and are particularly well-known for our orientation towards translational research.Requirements: Profile We are looking for a proactive, creative thinker who is interested to work on a challenging project at the interfaces of biomaterials, bioengineering and biology. The highly collaborative and interdisciplinary project will suit an ambitious and passionate candidate who likes a fast-paced environment. Excellent knowledge of scientific English for listening, speaking, reading, and writing are required as it is our working language. Knowledge of Dutch is not required. Candidates applying for the postdoc position who do not yet possess a PhD, but are expected to finish their thesis shortly, are welcome to apply, but should clarify the timeline for completion in their cover letter.Salary Benefits: What we offerAs Postdoc position at the interface of biomaterials and organoid research at Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:Good employment conditions. The full-time (1.0 FTE) postdoc position is offered for one year with one year of extension. Your salary would be between € 3.877, - and € 5.090,- gross per month, according to the PD salary scale 10, UFO profile Onderzoeker. The exact level depends on experience. On top of this, there is a supplementary 8% holiday and an 8.3% year-end bonus per year.At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.Applying from abroad? MERLN houses researchers from across the globe who have successfully navigated the transition of moving to the Netherlands. Maastricht, where we are located, is itself a warm and welcoming city. The founding city of the EU is an international hub with inhabitants from around the world. English is widely spoken, which has helped create a unique and vibrant international community. Thanks to Maastricht’s central position in Europe, it is only a short drive or train trip away from Belgium, Germany, France and the rest of the Netherlands. The city is family-friendly and possesses an international school and several excellent primary schools. Candidates who would need to relocate may be eligible for compensation. Employees relocating from abroad may be eligible for the Dutch ‘30% ruling’, a tax advantage which results in a significantly higher net salary. Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.Work Hours: 38 hours per weekAddress: P. Debyelaan 25

The Institute of Data Science, part of the Department of Advanced Computing Sciences at Maastricht University is looking for a post-doctoral researcher to work on projects in the application of data science and AI methods, particularly machine learning/deep learning methods. You will join the BioFIN project which is developing new tools and techniques to redirect financial resources from environmentally destructive economic activities towards nature-positive investment and interventions. There will be the opportunity to collaborate with a number of partners across Europe, including leading research and technology organisations, as well as specialists in biodiversity and finance. The focus of the research at Maastricht will be on a) developing predictive modelling approaches to quantify potential risks associated with a given biodiversity investment; b) the integration of large-scale distributed data sets related to climate and biodiversity in order to underpin the predictive models. Of particular interest are candidates with an interest in the application of data science for the climate-agriculture-biodiversity nexus writ large. The position responsibilities will include: Conducting data-driven research in data science, knowledge representation and machine learning/deep learning.(Co-)authoring scientific, peer-reviewed papers for top conferences and journals.Initiating and participating in research proposal writing.Contributing to department teaching activities.Requirements: We’re looking for: PhD degree in computer science or a closely related field.Strong computational and data science skills evidenced by peer-reviewed publications.Experience working with heterogenous datasets, good knowledge of semantic technologies.Ability to program in Python.Excellent ability to write, present and communicate in English (C1 level).Salary Benefits: What we offerAs Post doctoral researcher at the Faculty of Science & Engineering, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:Good employment conditions. The position is graded in scale 11 according to UFO profile Researcher, with corresponding salary based on experience ranging from €4,332 and €5,929 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.An employment contract for a period of 24 months with a scope of 1.0 FTE. Renewal beyond the initial 2-year appointment possible subject to existence of funding and satisfactory performance.The intended starting date of this position is after 15 August 2024 or as negotiated.At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.Work Hours: 38 hours per weekAddress: Paul-Henri Spaaklaan 1

Are you eager to develop sophisticated control or AI for high-performance robotic systems? Intrigued by the prospect of refining and advancing these technologies for smart societies, cities, or industries? If you see yourself making an impact in any of these areas – or you have other interesting robotics topics to bring to the table – you should consider joining our Department of Advanced Computing Sciences (DACS) as an Assistant Professor in Robotics. DACS is an international community of ~100 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has more than 30 years’ experience with research and teaching in the fields of Robotics, Artificial Intelligence, Computer Science, Data Science, and Applied Mathematics. What are you going to do? We are looking for a colleague to strengthen our research initiatives on developing advanced control and artificial intelligence for next generation robotics. You will join our team that focusses on enabling AI-powered control solutions. This team operates at Maastricht University in Maastricht and at the Brightlands Smart Service Campus in Heerlen. As an Assistant Professor, you will be active in research (that includes acquiring research funding, publishing, and supervising junior researchers) and teaching in our educational programs. As our new colleague, you will collaborate with colleagues from the department, faculty and university. Our research activities span the entire spectrum from curiosity-driven research to responsible societal applications, often taking on an interdisciplinary character. Our contributions to areas such as systems and control, cognitive robotics, multi-agent systems, signal and image processing, game theory, Game AI, affective computing, and FAIR principles are internationally recognized. What makes our research so interesting is that DACS maintains an industry network with over 80 private collaborators ranging from local SMEs to large multinationals. The department designs and develops data-driven solutions for a wide variety of business applications in sectors including transport and logistics, healthcare, and production and manufacturing. This why you can contribute to science and our society of tomorrow! In addition to your research, you will contribute to our education. Our department offers two bachelor’s programs and two master programs. You will have an important voice in developing our education programs.Requirements: Who are you? We seek a colleague who is passionate about research and who enjoys teaching. You feel at home in a strongly international, diverse and cooperative community like ours. Furthermore, we are looking to welcome someone who fosters collaboration at all levels. Our ideal candidate has: A PhD degree in Robotics, Computer Science, Electrical or Mechanical Engineering or a strongly related field;A proven track record in research and teaching;Proven research experience in utilizing robotic hardware;Experience with funding acquisition at national or European level is a plus;Salary Benefits: What we offer As an Assistant professor in Robotics at Faculty of Science & Engineering, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:Good employment conditions. The position is graded in scale 11 - 12 according to UFO profile Assistant Professor, with corresponding salary based on experience ranging from €4332,00 and €6737,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.An employment contract for a period of 18 months with a scope of 1,0 FTE. Upon proven suitability, the employment contract will be converted to an indefinite contract.At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.Work Hours: 38 hours per weekAddress: Paul-Henri Spaaklaan 1

Many real-life problems can be described by a collection of interacting agents making decisions in an uncertain environment. As an example, consider the energy grid, where companies and prosumers (who produce and consume energy at the same time) try to handle the uncertainty coming from renewable sources and demand imbalances. How can the agents take into account this unpredictability to optimize their decision-making process? The most suitable tool to describe these systems is game theory. A game allows us to model a collection of agents whose “happiness” depends also on the decisions of the other participants. In particular, stochastic Nash equilibrium problems allow to describe the behavior of the agents in presence of uncertainty and to characterize it. One of the main objectives is then to find distributed optimization algorithms which are guaranteed to converge to an equilibrium (i.e., the optimum of each agent, given the actions of the other participants) despite these uncertainties. The goal of this project is to design such algorithms for stochastic Nash equilibrium problems. To achieve this goal, you will use tools from monotone operator theory, stochastic (non-convex) optimization and stochastic programming. The outcome of the proposal will be a characterization of how uncertainty plays a role in Nash equilibrium problems, focusing in particular on distributionally robust Nash equilibrium problems and chance-constraints. Moreover, distributed iterative schemes will be developed with provable convergence guarantees toward the equilibrium. We are looking for a motivated and talented PhD student with a background in the area of Game Theory and Optimization. The successful candidate will be responsible for developing state-of-the-art algorithms that can take into account uncertainties and provide convergence guarantees towards the Nash equilibrium. Your research task will be to propose and validate such algorithms and find suitable application domains for these models. Your work will advance the theoretical analysis as well as potentially have a societal impact via its possible applications. Your responsibilities will include:To perform scientific research in algorithmic game theory and its applications.To be able to work independently, as well as collaboratively in both research oriented and in applied settings.To publish the main results in top-tier (international) conferences and in international journals.To assist with educational tasks, e.g., in tutorial sessions and in supervising students and internships.Requirements: M.Sc. degree (completed, or to be completed shortly) in (Applied) Mathematics, Econometrics, Operations Research, Computing Sciences, Artificial Intelligence or closely related fields. Candidates with a strong academic background and industry experience will also be considered.Demonstrated (e.g., through publications, code, projects, etc.) interest and experience with game theory and/or optimization.Proficiency in English (oral and written).Excellent communication skills. Additionally, we would like it if you have: Experience with programming (Matlab)Experience with machine learning.Salary Benefits: What we offer As Phd Candidate at Faculty of Science & Engineering, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:Good employment conditions. The position is graded in scale P according to UFO profile PhD Candidate, with corresponding salary based on experience ranging from €2770,00 and €3539,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow.At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.Work Hours: 38 hours per weekAddress: Paul-Henri Spaaklaan 1