TU Eindhoven

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Originele vacaturetekst

PhD in Artificial Intelligence for Chemical Biology

In the last few years, artificial intelligence (AI) has been driving progress in a multitude of tasks, e.g., predict chemical reactions and protein folding, and design novel bioactive molecules. AI is still in its infancy in the natural sciences, and its potential must be untapped in a timely and interdisciplinary way.

The Molecular Machine Learning lab (Chemical Biology group) is searching for a PhD candidate to join the team, and work at the interface between chemical biology and artificial intelligence. The research team is led by Dr. Francesca Grisoni, an Assistant Professor at the Dept. of Biomedical Engineering. We offer an interdisciplinary and international environment, with opportunities to collaborate with domain specialists within TU/e, as well as international researchers. The team is oriented towards developing novel AI tools and approaches to help answer key questions about the biological functions of small molecules and peptides, and to design innovative molecules with desired biological functions.


The PhD position will be computation-centered and dedicated to improving the state-of-the-art methods used in Medicinal Chemistry and Chemical Biology, with a strong focus on the development of innovative ways to address pressing questions in the field. The PhD project will have machine/deep learning at its core, with applications to several tasks like molecular property prediction, ligand-protein interaction identification, and de novo drug design.

Are you eager to push the boundaries of AI, at the fast-paced interface between machine learning and chemical biology? Then, this position might be for you! Ideally, you are fascinated by the opportunities of AI in driving novel discoveries. You have a quantitative and proactive mentality, and you are at ease with interdisciplinary and out-of-the-box thinking. You are willing to work alongside other specialists, and to acquire novel skills at the interface between data science and natural sciences.

  • A master’s degree (or an equivalent university degree) in (bio)informatics, statistics, mathematics, or related disciplines.
  • Advanced knowledge of Python and Unix/Unix-like operating systems.
  • Familiarity with machine learning concepts.
  • Knowledge of deep learning frameworks such as Tensorflow or PyTorch (desirable).
  • A research oriented and quantitative thinking attitude.
  • Ability to work in a team and interested in interdisciplinary collaborations.
  • Fluent in spoken and written English.
  • A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
  • A full-time employment for four years, with an intermediate evaluation after one year.
  • To support you during your PhD and to prepare you for the rest of your career, you will have free access to a personal development program for PhD students (PROOF program).
  • A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
  • Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
  • A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
  • Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.
Informatie en sollicitatie

More information

If you recognize yourself in this profile and would like to know more, please contact
dr. Francesca Grisoni at f.grisoni[at]tue.nl.

For information about terms of employment, please contact Sascha Sanchez,
HR advisor, s.j.m.g.sanchez.van.oort[at]tue.nl or +31 40 247 73 10.

Please visit www.tue.nl/jobs to find out more about working at TU/e!


We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including a list of your publications (if any) and the contact information of two to three references.
  • Brief description of your MSc thesis and other relevant projects.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

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