Maastricht University, Netherlands invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Maastricht University, Netherlands.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD in Adaptive AI Defense: Reinforcement Learning for Cybersecurity
We are looking for a motivated and talented PhD student with a passion for reinforcement learning and cybersecurity. Your main objectives will be to contribute to realistic cybersecurity benchmarks and simulators for the RL research community, develop state-of-the-art algorithms that adapt to changing threats, incorporate user models, and provide tangible performance assurance. You will investigate how to represent network environments, implement multi-agent or single-agent RL approaches, and evaluate them using realistic scenarios. Your research may have a direct real societal impact by helping to protect critical infrastructure and everyday technology users.
Deadline : 12 May ’25
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Ethical and Societal Challenges of Agricultural Automation
This project will explore fundamental questions raised by agricultural automation as a politically and societally embedded phenomenon. For example, what does it mean when decisions about cultivation—once made by farmers—are increasingly determined by algorithms and robotic systems? How do these technologies structure new forms of dependence, control, and opacity, and what kinds of epistemic assumptions about farming, efficiency, and nature underpin their design? Who designs these systems, and whose expertise is legitimized or erased in the process? What knowledge traditions—sensor data, machine learning models, agronomic science—are prioritized over others, such as local, experiential, or traditional agricultural knowledge?
Deadline : 5 May ’25
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in the area of learning leadership, learning climate and workplace learning
The Department of Educational Research and Development (ERD) at the School of Business and Economics (SBE) of Maastricht University offers a 4-year PhD position for a candidate with a (Research) Master of Science degree or equivalent, starting in September 2025.
At SBE, we offer a dynamic and challenging job in an internationally oriented organisation where students receive advanced education and scholars conduct exciting research. The PhD candidate will have the opportunity to carry out research within the ERD department, in the context of the topic described below, and within the PhD programme of the Graduate School of Business and Economics (GSBE). As such, the PhD candidate will contribute to the development and outreach of our research. Working at SBE enables the candidate to be part of an (inter)national network of top universities and renowned scholars.
Within SBE, the ERD department is a leading, international, and dynamic scientific unit with a pleasant and constructive working atmosphere. The quality of the department, as well as the School, is, among other things, reflected by the Triple Crown accreditation by EQUIS, AACSB, and AMBA and the high-quality publications of our scholars. Candidates are expected to enter the doctoral program of GSBE and to deliver a doctoral dissertation within four years.
Deadline : 12 May ’25
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate: Psychoactive Drugs and Cognition in Legal Contexts
As a PhD candidate, you will conduct experimental studies exploring psychoactive effects of substances such as cannabis on cognition and behaviour, and their implications for forensic judgement in legal cases. This research will focus on basic and applied measures of episodic memory, suggestibility, face recognition, and suspect decision-making under drug influence. In addition to collecting new experimental data, you will also analyze existing datasets concerning the link between psychoactive drugs and cognition.
You will be embedded in the Department of Neuropsychology and Psychopharmacology (NP&PP) at FPN, closely collaborating with the Forensic Psychology section at the Department of Clinical Psychological Science and the Faculty of Law at Maastricht University. Your supervisory team consists of Prof. Jan Ramaekers (promotor) and Dr. Lilian Kloft-Heller (daily supervisor and co-promotor), Prof. Henry Otgaar (promotor), and Dr. Melanie Sauerland (co-promotor). Additionally, 10% of your time will be dedicated to teaching activities (e.g., courses relevant to this research line).
Deadline : 12 May ’25
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Auditory Computational Neuroscience
We are looking for a motivated PhD student to join an interdisciplinary project investigating the role of the corticothalamic circuitry in auditory attention. In this position, you will develop and validate a computational model of auditory processing, embedded in the framework of dynamic causal modelling (DCM), and apply the model to investigate how the human brain processes sounds in noisy environments. You will work with cutting-edge human neuroimaging data, including ultra-high field MRI, intracranial EEG data and laminar electrophysiology, and will play a central role in all phases of the research process.
Deadline : 19 May ’25
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD position: ‘Neuroimaging in Psychiatry’
As a PhD student within the BOOST Depression project, you will contribute to cutting-edge research aimed at improving the treatment of depression. The BOOST Depression consortium is a large-scale, multi-center initiative funded by the Dutch Research Council. Your primary responsibility will be to collect and analyze neuroimaging and ecological momentary assessment (EMA) data to identify biomarkers that predict treatment success. Using artificial intelligence and machine learning techniques, you will work toward optimizing treatment selection, ultimately enhancing patient outcomes and reducing healthcare costs. You will be actively involved in data collection from approximately 200 patients, conducting MRI and EEG measurements, administering questionnaires, and gathering biological samples for genetic and epigenetic analysis. This project provides a unique opportunity to develop expertise in neuroimaging analysis and machine learning, with comprehensive training and support provided throughout the PhD trajectory.
Deadline : 16 May ’25
(07) PhD Degree – Fully Funded
PhD position summary/title: Docent-2: Huisartsbegeleider (HAB)
De Huisartsopleiding maakt onderdeel uit van de vakgroep Huisartsgeneeskunde van Universiteit Maastricht. De Huisartsopleiding is een driejarige opleiding na het artsexamen en bereidt de arts in opleiding tot specialist (aios) voor op het veelzijdige beroep van huisarts. Het eerste en het derde jaar bestaan regulier uit huisartsstages, het tweede jaar bestaat uit externe stages die gevolgd worden in ziekenhuizen, verpleeghuizen of bij geestelijke gezondheidzorg (GGZ) instellingen. De docent werkt samen met de Gedragswetenschappers en andere Huisartsbegeleiders (HAB’s). De docent wordt begeleid door een ervaren collega met wie regelmatig alle aspecten ten aanzien van inhoud, programma en opzet van het betreffende opleidingsdeel van het aios-curriculum worden doorgesproken. Daarnaast vinden maandelijks werkbesprekingen (zgn. MOMbesprekingen) van alle stafleden van het betreffende opleidingsjaar plaats. De formele werkbaas t.a.v. verloven, ziekte/ARBO is één van de adjunct-hoofden.
Deadline : 28 apr ’25
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Public Economics or Urban Economics
We offer a dynamic and challenging job in an internationally oriented organisation where students receive an advanced education and scholars conduct exciting research.
The Department of Microeconomics and Public Economics is looking for a PhD candidate in Public Economics or Urban Economics to investigate the interplay between public policy, housing markets, and economic inequality. Relevant fields in economics include taxation, matching, real estate economics, regional economics, welfare economics, environmental economics, political economy, and applied microeconomics.
The PhD candidate will closely collaborate with researchers working on projects in these fields. Among other things, these projects analyze the consequences of house price booms on the socio-economic segregation of cities, the impact of taxes on homeownership and house prices, misallocation on the housing market and potential remedies, the welfare effects of policy changes, the differential exposure of poor and rich households to climate change, and the political economy of carbon taxes.
Deadline : 28 Apr ’25
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD positions on Inequality Dynamics at the Department of Macro, International and Labour Economics
The Department of Macro, International and Labour Economics (MILE) at the School of Business and Economics (SBE) of Maastricht University will offer up to 3 PhD positions, starting September 1, 2025. These positions will be for 4 years and all work under a department-wide research theme of Inequality Dynamics.
The research theme on Inequality Dynamics focuses on understanding how past, contemporary and (expected) future environmental, political, and technological transformations differentially impact economic activity and well-being of firms, individuals, and societies. Particular focus lies on understanding these transformational processes – the dynamics – and on the heterogeneous paths through which adjustments take place, where inequality enters as either a determining feature or as an observable outcome of transitions. Combining micro- and macro-level approaches from different areas and subfields in economics, the insights generated by the research of this theme shed light on a variety of relevant questions facing societies across industrialized, emerging and developing economies.
Deadline : 1 May ’25
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD-positions in field of Operations Research & Econometrics
We have two PhD positions, both fully funded for four years, according to the labour agreement of Dutch universities. Both contain a moderate teaching load of at most 25%. The first PhD position is within the Operations Research group, the second one is within the Econometrics group. Details about the two groups can be found here: https://www.maastrichtuniversity.nl/research/department-quantitative-economics.
For the Operations Research position, preference is for candidates who are interested in topics that lie on the border of optimization by the use of heuristic algorithms and (Explainable) Artificial Intelligence ((X)AI). Specifically, in this position, the chosen candidate will conduct research on how machine learning techniques or XAI can be leveraged by heuristic algorithms, or conversely, how heuristics can be enhanced by incorporating machine learning techniques. Research proposals on these topics are welcome, but not mandatory. Also candidates with a broader interest in Operations Research and/or Data Science are invited to apply.
Deadline : 7 May ’25
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate to conduct ethnographic research on smart farming
Smart farming refers to the use of digital technologies to automate various agricultural practices ranging from planting to the application of fertilizers and pesticides to harvesting, and it is an increasingly important area of both public and private investment. Although smart farming is often pitched as enhancing productivity and increasing yields, anthropologists and political ecologists have recently begun to identify the role these technologies play in shifting the power relations between farm workers, farm managers, and investors, while also changing the practices of agriculture and their environmental impacts. Advances in sensor technology, robotics and artificial intelligence are leading to the datafication, digitalization, and automation of agricultural production in ways that are at once both novel and part of a much longer history of the political economy and ecology of changing agricultural technologies.
Deadline : 5 May ’25
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position: Framework for automated ODE model construction
This vacancy represents an exciting opportunity for ambitious individuals to join the department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University in the Netherlands as part of the ERC STG project “AUTOMATHIC”, under the supervision of dr. Aurélie Carlier. This 5-year interdisciplinary project aims to perform cutting-edge research in developing new methodologies for the automated modeling of the dynamic behavior of large biological networks. The project also involves engaging with national and international stakeholders.
In silico models aim to capture and elucidate the complex and emergent interactions of biological systems, with the goal of expediting research and potential clinical translation. For example, ordinary differential equation (ODE) models of toxin and drug transport are being developed to bring safer therapies to chronic kidney disease patients. Despite recent progress, these cutting-edge ODEs only model transport in steady state and remain limited regarding the amount and complexity of dynamic transport mechanisms as it is often not clear which kinetic relation is most suitable. This limitation is due to the manual and labor-intensive approaches to construct the ODEs, which critically hinder their application in quantitative toxicity assessment in key industrial settings like drug development. In AUTOMATHIC, we aim to develop an integrated framework for automated ODE structure identification, parameter estimation and model evaluation and explore the capabilities of the developed framework for toxin and drug transport in the kidney.
Deadline : 5 May ’25
About Maastricht University, Netherlands –Official Website
Maastricht University is a public university in Maastricht, Netherlands. Founded in 1976, it is the second youngest of the thirteen Dutch universities.
In 2019, 19,000 students studied at Maastricht University, 54% of whom were foreign students, with over 4,000 employees. About half of the bachelor’s programmes are fully offered in English, while the other half is taught wholly or partly in Dutch. Most of the master’s and doctoral programmes are in English. Besides traditional programmes, Maastricht University also has an honours liberal arts college: University College Maastricht and a Maastricht Science Programme in the same liberal arts tradition. The satellite University College Venlo opened in 2015.
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