Are you interested in combining advanced image analyses with computational simulations to gain deeper insights into human brain function, and how it can be influenced by brain stimulation? Are you eager to work in a dynamic international research group where you will contribute to a major open-source software platform? Do you thrive in multi-disciplinary environments? If yes, you should send us your application.
Non-invasive transcranial brain stimulation (TBS) is currently strongly increasing as approach to treat mental health indications, such as depression, obsessive compulsive disorder or smoking addiction. Despite this recent boost, it still suffers from limitations that hamper its further development. A major challenge is the limited understanding of the mechanisms by which TBS affects nerve activity at the micro- and mesoscale, which precludes a systematic optimization of the intended clinical effects.
We are developing novel biophysical models and computational methods to understand and optimize the complex effects which brain stimulation has on nerve cells. In this project funded by the Independent Research Fund Denmark (DFF), you will contribute to this work by establishing simulations at an unseen level of realism at the meso- and microscale, merging information from high-resolution magnetic resonance images and pre-clinical imaging data. We aim to use the simulations to gain deeper insights into the mechanisms of TBS and by that enable a rational analysis and planning of the stimulation dose - in turn improving the therapeutic efficacy of TBS. We will ensure the broad dissemination of your results and methods by integration into our successful open-source SimNIBS platform (www.simnibs.org).
Your responsibilities:
- Develop new approaches to inform high-fidelity neural simulations by MRI and pre-clinical imaging data of brain anatomy and brain microstructure.
- Establish and refine computational models of the effects of brain stimulation on human brain cells at the micro- and mesoscale.
- Integrate your results into our SimNIBS platform to enable their widespread application.
- Engage in knowledge dissemination and publication of results in international, recognized scientific journals.
Your qualifications:
You should be a motivated, international-minded team player and have:
- PhD degree in Computer Science, Biophysics, Biomedical Engineering or corresponding qualifications.
- Knowledge in image analysis and segmentation methods.
- Knowledge in numerical methods for solving partial differential equations (FEM, BEM, FDM) and related meshing approaches.
- Knowledge in computational models of neuron dynamics and networks of neurons (NEURON, NEST, Brian) is a plus.
- Good coding skills, in particular in Python.
- Fluency in English writing and scientific communication
- Independent working and thinking but also integrate with and contribute to the research team and larger project.
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 2 years 9 month. Desired starting date is 1 October 2025.
You can read more about career paths at DTU here.
Further information
Further information may be obtained from Prof. Axel Thielscher, axthi@dtu.dk.
You can read more about DTU Health Technology at www.healthtech.dtu.dk.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
Application procedure
Your complete online application must be submitted no later than 1 September 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
DTU Health Tech
With a vision to improve health and quality of life through technology, DTU Health Tech engages in research, education, and innovation based on technical and natural science. We educate tomorrow’s health tech engineers and create the foundation for new and innovative services and technologies for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed with the aim of benefiting people and creating value for society. The department has a scientific staff of about 210 persons, 140 PhD Students, and a technical/administrative support staff of about 100 persons of which a large majority contributes to our research infrastructure and related commercial activities.
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.