Assistant Professor in diffusion MRI methods and data analysis

Assistant Professor in diffusion MRI methods and data analysis

Published Deadline Location
6 Jun 23 Jun Maastricht

Job description

We are looking to attract a new assistant professor in diffusion MRI methods and data analysis to the the Computational Brain Connectivity lab (, aka. the Multiscale Imaging of Brain Connectivity section) of the Department of Cognitive Neuroscience (CN), part of the Faculty of Psychology and Neuroscience (FPN) at Maastricht University (UM).

Job description
We aim to attract an excellent assistant professor in diffusion MRI methods and data analysis with a passion for research and expertise that aligns with, and adds to, ongoing research in the CBClab. We are looking for a talented enthusiastic candidate to lead and grow the diffusion MRI method developments in the section, capable of obtaining research funding for PhD students and postdocs, and of independent supervision of their research projects. Ideally, you have already shown that you are able to gain research funding on individual or collaborative grants and have PhD supervision experience. The ideal candidate has an explicit vision for a growing research line that is well integrated with our current lines (see, yet can bring new directions relevant to brain connectivity and neuronal microstructure in health and disease. The successful candidate will help keep CBClab at the forefront of diffusion MRI methods developments, validation and applications, and have an active presence in the international diffusion MRI research community. A team-science attitude and a dedicated aim of building an integrated part of the lab are essential. One of the lab’s strengths is combining in-vivo diffusion MRI with ex-vivo MRI and the integration with modern microscopy methods, particularly light sheet microscopy, and we expect the successful candidate to leverage this strength. Enthusiasm for, and initiative towards, collaborating with the functional brain imaging and cognitive neuroscience community in the department, and with the clinical and preclinical research community in MHeNS and the adjacent Maastricht University Medical Centre+ (see here), is expected. Although we are a lab focused on brain research, we encourage occasional endeavors in other domains, such human body applications, machine learning, or broader MRI contrast mechanisms to increase impact, breadth and opportunities for fresh insights.

We also expect that the new assistant professor is an enthusiastic teacher. The time commitment of all CN staff members is 50% teaching and 50% research as a base scenario secured without grant support. Research time can be increased beyond 50% by labeling time on research grants, but a continuous enthusiastic commitment to teaching in our Bachelor and Master programs is expected. Your teaching will largely take place in the new BSc in Brain Science, starting in September 2024. In the BSc Brain Science, beyond contributions to content-oriented courses, you can choose to help with aspects of mathematics and programming education. You can also teach in FPN’s Psychology BSc, its Cognitive and Clinical Neuroscience research-MSc, or occasionally in curricula outside FPN (e.g. the Data Science and Artificial Intelligence BSc, the Systems Biology MSc, and the Imaging Engineering MSc). Guiding students in writing their bachelor or master thesis, possibly in connection to your own research lines, will also be an important part of your educational work.
In terms of your working style, you are expected to be a team player with an open, effective management and communication style. Once you are settled in, and commensurate with career phase, you are also expected to fulfil administrative roles or committee work in the faculty.

  • You have a PhD in (Biomedical) Engineering, (Applied)Physics, Biomedical Sciences, (Computational) Neuroscience, Artificial Intelligence or a related discipline;
  • You have extensive experience as a Postdoc, early phase Faculty, or equivalent, during which you have demonstrated outstanding quality in diffusion MRI methods and data analysis research, and compiled a competitive publication record;
  • You are collegial, collaborative, enjoy (interdisciplinary) team science, and have a vision for a research line that aligns with, and adds to, ongoing research in the CBClab
  • You have PhD and/or post-doc supervision experience and the capabilities to lead and grow a group of diffusion MRI method researchers
  • You show evidence of successful or high potential for grant acquisition and/or earning power;
  • You show evidence of excellent teaching in an academic context, or show high potential and interest to do so, and have documented teaching experience in BSc and/or MSc programs, as well as demonstrated ability in Master and/or Bachelor thesis supervision.
  • Having demonstrated active presence in the international diffusion MRI research community (in the form of e.g. admitted abstracts, orals, (co-)chairpersonships, or membership of organizing or program committees of the conferences or workshops with a prominent diffusion MRI component) is a pre.
  • Excellent English communication skills, both written and verbal, are essential.

What we offer
As Assistant Professor in diffusion MRI methods and data analysis 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 graded in scale 11 according to UFO profile Assistant Professor, with corresponding salary based on experience ranging from €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.
  • 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.

Maastricht University
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM.

Who we are
The CBClab’s research focusses on the human brain, investigating both its structure (anatomy) and function (activity). In both aspects, the emphasis is on the connected networks and circuits in the brain, the microstructure of its elements, and the interactions between groups of neurons in these circuits. In the CBClab we use state-of-the-art 3D imaging methods to measure the microstructure and connectivity in brain networks at different spatial scales, and integrate findings over different scales and imaging methods. One of the fundamental aims is to model the activity and computations these circuits might support and relate these to measurements of human brain activity. Another fundamental aim is to advance diagnostics for human brain disease through better imaging and more understanding of brain connectivity, particularly for the neurodevelopmental, neuroinflammatory and neurodegenerative disease where malformations or breakdown of connectivity is key. We have a strong methods development component, and develop hardware and software technology needed to answer basic and applied questions about human brain connectivity and computations. Two pillars in these methodological efforts are diffusion MRI and cleared tissue light sheet microscopy. More information about the lab can be found here.

Department of Cognitive Neuroscience
The CBClab is embedded in the Department of Cognitive Neuroscience (CN), which currently consists of 34 permanent staff members and about 60 temporary staff (PhD candidates and postdocs). We are a collaborative department, investigating 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 using a variety of approaches to measure brain structure and activity, including magnetic resonance imaging (MRI), electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), psychophysics, microscopy, and by manipulating 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 multiple spatial and temporal scales. In addition to a fundamental approach, much of the research also links with applications, related to, e.g. patients with severe motor disabilities, neurodegenerative and neuroinflammatory diseases, neuropsychiatric disorders, as well as neurorehabilitation and the remediation of developmental challenges such as dyslexia. More information about the department can be found here.

Faculty of Psychology and Neuroscience
CN is embedded The Faculty of Psychology and Neuroscience (FPN). It is an international faculty with students and staff from various cultural backgrounds, who are connected by their shared curiosity about human behaviour and our brains. This curiosity inspires us to explore the wide field of psychology from different perspectives (such as a biological and cognitive viewpoint). By using small-scale and student-centred methods, such as problem-based learning and project-based learning, we encourage a similar kind of curiosity in our students, as we provide them with the tools to discover the world of the human brain. For more information, see here.

The CBClab is also embedded in the Mental Health and Neuroscience (MHeNS) Research Institute of the Faculty of Health, Medicine and Life Sciences (FHML) and closely collaborates with the Microscopy CORE Lab (MCL).

Are you interested in this exciting position but still have questions? Feel free to contact Prof. Dr. Alard Roebroeck: for more information.

To apply, please submit your CV, a motivation letter, and 1-2 page research vision, before Monday June 24th, 2024. Interviews are planned to take place in last week of June and the first two weeks of July. The preferred starting date of this position is September 2024, and will be determined in consultation with the successful candidate.

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

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.


Maastricht University (UM)


  • Assistant professor
  • Behaviour and society
  • max. 38 hours per week
  • €4332—€5929 per month
  • Doctorate
  • 1038


Maastricht University (UM)

Learn more about this employer


Universiteitssingel 40, 6229ER, Maastricht

View on Google Maps

Interesting for you


Apply for this job

Apply for this job

This application process is managed by the employer (Maastricht University (UM)). Please contact the employer for questions regarding your application.

Thank you for applying

Please contact the employer for questions regarding your application.

Tip: save this job as favorite in your AcademicTransfer account. This gives you an immediate overview and makes it easy to find the job later on. No account yet? Create it now and take advantage of other useful functionalities too!

Application procedure

Application procedure

Make sure to apply no later than 23 Jun 2024 23:59 (Europe/Amsterdam).