Assistant Professor in diffusion MRI methods and data analysis
Offer DescriptionWe 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 ), 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 , 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 , its , 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.Requirements
What we offer
As Assistant Professor in diffusion MRI methods and data analysisat 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:
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, .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.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 …Where to apply WebsiteRequirementsAdditional InformationWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Maastricht University Country Netherlands City Maastricht Postal Code 6229ER Street Universiteitssingel 40 GeofieldContact CityMaastricht WebsiteStreetMinderbroedersberg 4 Postal Code6211 LKSTATUS: EXPIREDShare this page
Maastricht, Limburg
Sat, 08 Jun 2024 23:29:08 GMT
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