About the position
Career Opportunities: PhD student position in deep learning for enzyme structure & catalysis (22980)
Requisition ID 22980 - Posted 09/16/2026 - Type of position (1) - Area of Activity (1) - Rate of Participation (1) - Faculty / Service (1) - Personnel Category (1)
Job Description Print Preview
UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges.
As an employer, UNIL encourages excellence, individual recognition and responsibility.
We’re looking for a PhD student to develop deep learning methods for modelling biomolecular
interactions in the context of catalysis.
structures and the binding poses of small molecules.
Enzyme catalysis presents a different challenge:
The project will investigate how protein–ligand cofolding approaches can be extended to better model
enzymes and their reactions, with a particular interest in methods that generalise across enzyme
The project will combine deep learning, protein bioinformatics, and large-scale analysis of protein
sequences, structures and biochemical data.
There will be scope to explore model development and
evaluation, representation learning, and applications to catalytic function and molecular design.
For an overview of our research interests, see pickybinders.org.
Start date in position: Earliest November 2026, by arrangement
Contract length : 1 year, renewable, maximum 5 years
Workplace : University of Lausanne, Dorigny campus
We are looking for
● A Master's degree in computer science, computational biology, bioinformatics, machine learning,
● An interest in machine learning and proteins
● Curiosity about the relationship between molecular sequence, structure and biochemical function
● Motivation to develop and pursue research ideas independently, and to learn new subjects and
Experience with deep learning, structural biology, cheminformatics, or protein bioinformatics is useful
but not required.
What the position offers you
We offer a nice working place in a multicultural, diverse and dynamic academic environment.
Opportunities for professional training, a lot of activities and other benefits to discover.
Deadline : ongoing
● a short cover letter describing your research interests, relevant experience, and why you are
interested in the project
Applications will be reviewed on a rolling basis until the position is filled.
• ensuring an open and respectful environment that is conducive to personal development;
• supporting early career researchers.
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What you’ll bring
- Your qualifications
- ● A Master's degree in computer science, computational biology, bioinformatics, machine learning,
- Experience with deep learning, structural biology, cheminformatics, or protein bioinformatics is useful
At a glance
- Position type
- PhD
- Institution
- University of Lausanne
- Department
- Not stated
- Research group
- Not stated
- Location
- Switzerland
- Supervisor / contact person
- Prof. Janani Durairaj
- Funding
- Fully funded
- Duration
- 1 year, renewable, maximum 5 years
- Expected start
- Not stated
- Vacancy reference
- Not stated
Research focus
- Discipline
- Chemistry
- Research area
- Not stated
- Methods
- Not stated
- Software
- Python
Dates to know
- Listed on FOSS Positions
- 17 Sep 2026
- Original advertisement date
- Not stated in the source
- Application deadline
- Open until filled
- Priority review date
- Not stated
- Last checked
- 17 Sep 2026
- Last updated
- 17 Sep 2026
Deadline : ongoing
How to apply
Your application
Please, send your full application as a single PDF document comprising:
https://career5.successfactors.eu//career?_s.crb=nE1gyXa0AXdz2%2BuJ8gEBuRJ0%2Fd6X%2F91Qd8CoI%2F5b5xc%3D&browserTimeZone=UTC&career_job_req_id=22980&career_ns=job_listing&company=universitdP&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&navBarLevel=JOB_SEARCH&rcm_site_locale=en_US&selected_lang=en_US
Contact: janani.durairaj@unil.ch
Original sources
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