Postdoctoral researcher in bacterial genomics
Publication date:
22 April 2025Workload:
100%- Place of work:Lausanne
Job summary
UNIL is a top international teaching and research institution. Join a dynamic team that values excellence and offers great benefits.
Tasks
- Collaborate in the Evolutionary Epidemiology group on research.
- Utilize mathematical and statistical modeling for insights.
- Explore bacterial genomics and public health issues.
Skills
- PhD in evolutionary theory, computational biology, or related fields.
- Expertise in bacterial genomics and phylogenetics.
- Strong interest in mathematical modeling and communication.
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Introduction
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.
Presentation
Join the Evolutionary Epidemiology group to work at the intersection of evolutionary theory, microbial ecology and public health. We use mathematical and statistical modelling to draw insights from genomic and epidemiological data; address problems in public health; and answer fundamental questions about bacterial ecology and evolution.
We are looking for two postdoctoral researchers with experience in bacterial genomics (e.g. phylogenetics, phylodynamics, molecular evolution, pangenome analysis) to join our team. If you are interested in combining genomics and modelling, we are particularly keen to hear from you. There is scope to collaboratively shape the project, with possible directions including:
- The evolutionary dynamics of antibiotic resistance.
- The role of horizontal gene transfer in bacterial ecology and evolution.
- Multi-locus models of pangenome evolution.
The Evolutionary Epidemiology group is based at the University of Lausanne’s Computational Biology Department . We are also affiliated with the NCCR Microbiomes , providing fantastic opportunities for collaborations with experimental, clinical and other modelling groups. The group is very friendly, with people from diverse backgrounds working on a range of projects relating to microbial evolution and dynamics.
We’re looking for curious, collaborative and thoughtful researchers. If you like our papers, we want to hear from you!
Job information
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Duration: 2 years (initial contract for 1 year, but funding is available for 2 years)
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Potential for further extension depending on funding
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Start date: ideally October 2025, but there is flexibility in both directions
Your profile
- A PhD in a relevant topic, such as evolutionary theory, computational biology, bacterial genomics, by the start date.
- Expertise in bacterial genomics.
- Interest in mathematical modelling (experience is a bonus).
- Excellent written and oral communication skills in English.
What the position offers you
- An exciting opportunity to shape your research in a supportive and stimulating environment.
- Exceptional scope for collaboration through the NCCR Microbiomes network.
- Access to top-notch resources and possibilities for independent funding and fellowships.
- Excellent support for further learning and professional development.
- Plenty of opportunities to attend conferences and to build your scientific network.
- Attractive salary, beautiful location and excellent quality of life in a great city.
Your application
Deadline : 31.05.2025
Please, send your full application in Word or PDF.
- A cover letter (1-2 pages) outlining your background and experience, expertise, research interests and motivation for applying for the position.
- A copy of your most relevant paper or preprint.
- A CV including a list of publications and contact details of two referees.
Only applications through this website will be taken into account.
We thank you for your understanding.
For informal enquires, contact E-Mail schreiben
Additional information
UNIL is committed to:
• equality, diversity and inclusion within its community;
• ensuring an open and respectful environment that is conducive to personal development;
• offering working conditions that facilitate work-life balance;
• supporting early career researchers.
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