Associate Professor in System and Network Security

We are looking for a colleague to strengthen our research and educational initiatives on Cybersecurity. Within that scope you will bring in, share, and develop valuable expertise on System and Network Security. You will be part of the ambitious Cybersecurity team, that operates at Maastricht University in Maastricht and at the Brightlands Smart Services Campus in Heerlen.

Who are you?
We seek a colleague who is passionate about research, who enjoys teaching, and has strong organizational skills. 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 Computer Science or a strongly related field;
• A proven track record in system or network security and is ready to make the step to become Associate professor;
• A proven track record with funding acquisition at Dutch or European level;
• Experience in mentoring a team of junior researchers;
• A collaborative mindset;
• A strong and consistent track record in research and teaching.

Assistant Professor in Computer Systems

We are seeking a scholar whose research and teaching strengthen our expertise in the design, implementation, and analysis of secure computer systems. Areas of interest include, but are not limited to, operating systems, distributed systems, trusted execution environments, cloud computing and the related security aspectes.

The successful candidate will contribute to the department’s research profile and will play an active role in our educational programmes in Computer Science at the bachelor’s and master’s levels. The position comes with a balanced research–teaching load and opportunities for mentorship and collaboration across Maastricht University and its research institutes.

Your profile
We welcome applications from candidates who can demonstrate:

• A PhD in Computer Science or a closely related field (completed or near completion);
• A strong research record, evidenced by publications in top computer systems and security venues;
• A clear and compelling research agenda in computer systems and security;
• Commitment to excellent, inclusive teaching and student supervision;
• Interest in interdisciplinary collaboration and in acquiring competitive research funding.

PhD Candidate in Cancer Research

PhD Candidate in Cancer Research

• Our goal: to develop innovative therapeutic strategies in cancer and translate scientific insights into clinical impact.
• Your colleagues: an interdisciplinary team within the Faculty of Health, Medicine and Life Sciences (FHML), working closely with academic and clinical partners.

Cancer research asks for people who combine scientific curiosity with a clear sense of purpose. In this PhD position, you contribute to a project that connects fundamental insights to questions that matter in practice. You work in a setting where education, research, and care strengthen each other, and where your development as a researcher is taken seriously.

You take ownership of your project from day to day, while receiving guidance from experienced supervisors. You design and carry out research activities, analyse data, and translate findings into clear conclusions. You also share results within the team and contribute to the wider progress of the project.

You work closely with colleagues from different disciplines and build connections between academic and clinical perspectives. That makes this role both intellectually stimulating and highly collaborative. Step by step, you grow into an independent researcher who contributes to new knowledge and meaningful impact in cancer research.

What you do

• Design and carry out research activities within the project.
• Analyse data and translate results into clear and well-founded conclusions.
• Work closely with colleagues across disciplines and with academic and clinical partners.
• Contribute to meetings, publications, and presentations within the research team.

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring
We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this?

• Curious and proactive – You enjoy exploring new questions, take ownership of your work, and keep moving forward.
• Analytical and accurate – You work carefully, interpret data with a critical eye, and communicate your conclusions clearly.
• Collaborative by nature – You like working in an interdisciplinary environment and value open exchange with colleagues and partners.
• Resilient and adaptable – You stay motivated when research takes unexpected turns and know how to adjust your approach.
• Academically well prepared – You hold a Master’s degree in a relevant field and have a strong interest in cancer research.

Assistant Professor Evolutionary Diversity and Biogeography

Assistant Professor Evolutionary Diversity and Biogeography

• Our goal: You will work at the System Earth Science (SES) department at the Brightlands Campus Greenport Venlo in the Southern Netherlands. SES is a transdisciplinary department aimed at understanding the structure and functioning of the Earth as a complex, adaptive system. The diverse SES research themes address the functioning of system Earth in past and present, the role of humans in this system, and tackle pressing environmental challenges, like climate change and loss of biodiversity, to provide solutions for a more resilient planet. All activities have a strong systems approach.
• Your colleagues: You will work in a department founded only three years ago within a recently established team encompassing PhD students to full professors. The activities of the SES team focus on earth and plant-biological research (from fundamental to applied) in relation to human health, the environment and relevant stakeholders. Currently, at the campus a strong knowledgebase is being developed to facilitate education, research and innovation in an interdisciplinary setting.

You will work as part of the recently established chair Evolutionary Diversity and Biogeography. The aim of this chair is to explore the evolutionary patterns in plant-species diversity in space and (deep) time to gain insights into the origins, diversification and distribution of plants. Specifically, you help to expand research in the field of plant phylogenomics, systematics and biogeography.

What you do
You will have the following responsibilities:

• Support the chair’s ongoing research work on the tropical plant family Annonaceae.
• Develop your own research line in the context of the chairs’ themes. This can be on other taxa or regions, including (underutilised) crops.
• Work in an interdisciplinary manner and have a willingness to cross boundaries between scientific disciplines and to society.
• Coordinate educational modules at the bachelor level using a Problem- and Research-Based Learning approach and supervise students during projects periods and final thesis works at the bachelor and master level.
• Engage in cooperation with other research clusters at Maastricht University (such as the Brightlands Future Farming Institute, Maastricht Centre for Systems Biology or Department of Advanced Computing Science) and knowledge partners (such as Naturalis Biodiversity Centre).
• Be a stimulating, collaborative and approachable team member for staff and students and will readily interact with colleagues within Maastricht University and with other knowledge and business partners.

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring
We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this?

• Plant evolutionary-biology skills: a doctoral degree in Biology, Evolution, Biodiversity studies, Biogeography, Systematics or a related discipline with expertise in at least two of the following areas: Tree of Life reconstruction, spatial analyses, systematics and taxonomy, or conservation biology.
• Strong quantitative skills: e.g. plant-phylogenetics skills (or in phylogenomics or phylogeography), biogeographic analyses, species-distribution modelling, next-generation sequencing skills, statistical analyses.
• Herbarium skills: a history of working with herbarium collections.
• Grant acquisition skills: proven track record of obtaining research funding.
• Educational competencies: proven experience in educational delivery and student supervision.

PhD in Epidemiology on value-of-information from validating clinical prediction models and AI

PhD in Epidemiology on value-of-information from validating clinical prediction models and AI

• Our goal: Develop value-of-information methods to assess and improve the reliability of clinical prediction models and AI.
• Your colleagues: A VIDI project team with 2 PhD students and 1 postdoctoral researcher, supervised by Dr. Laure Wynants, working with clinicians, statisticians, epidemiologists, health economists and data scientists.

Clinical prediction models and Artificial intelligence (AI) can support diagnosis and prognosis, and support optimization of patient care. Whether this is achievable depends on the reliability of an AI-model. Testing of AI is often done on small numbers, and AI-models are not equally useful in all locations and patient populations. Reliability can be measured with value-of-information measures that reflect the risks of uncertainty, expressed as the expected number of misdiagnoses. This allows physicians and policymakers to decide for each AI-model: is it ready for use, or is more research needed?

In this project, you will develop and refine these value-of-information measures. In this role, you will conduct interdisciplinary research at the intersection of statistics and health economics to assess and enhance the reliability of AI models in healthcare. To support the dissemination of your methods, you will contribute to user-friendly statistical software, such as an R package, and develop guidance material for other researchers. You will share your findings through academic publications, conference presentations, and engagements with stakeholders. Additionally, you will actively contribute to the institute's academic environment by participating in seminars, workshops, and collaborative research.

What you do
Your daily worksite is the Department of Epidemiology at Maastricht University. Your day-to-day tasks and responsibilities are to:

• Develop new predictive performance and value-of-information metrics.
• Propose computational algorithms to estimate these metrics.
• Design and execute simulation studies to evaluate the above.
• Develop and test statistical software.
• Write user-friendly guidance on how to apply novel methodology.
• Deepen subject-matter knowledge through literature review and active engagement with current research developments.
• Work closely with academic advisors and collaborators to ensure research quality.
• Write up, publish and present findings, and assist with teaching duties.

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring
We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this?

• Strong analytical and interdisciplinary mindset – You enjoy bridging medical statistics and health economics, and thrive in a dynamic research environment.
• Academic foundation – You have a Master’s degree in Statistics, Health-Economics, or equivalent.
• Relevant methods experience – You have knowledge of and/or experience with validation of prediction models (regression or supervised machine learning), health technology assessment, decision curve analysis, and/or value-of-information analysis.
• Programming skills – You can program in R, or you are proficient in another language and willing to learn R.
• Clear scientific communication – You master scientific English for speaking, reading, and writing. Knowledge of clinical epidemiology and/or Dutch is an asset.