The University of Lausanne is offering a fully-funded PhD program in quantitative biology at the Faculty of Biology and Medicine.
Study areas:
- Evolution
- Synthetic Biology
- Plant Science
- Cancer Genomics
- Microbiology
- Molecular Biology
- Neuroscience
- Biological Imaging
- Computational Biology
Expected start date: 01.03.2020 or to be agreed
Duration: initially for one year and is extendable to a total of 4-5 years.
Qualifications:
- Applications are being accepted from talented and enthusiastic candidates who are interested in a dynamic, well-supported lab at a top research institution.
- Candidates must have finished a Master’s degree in life science or a relevant area before the start date of their doctoral studies.
- Candidate to demonstrate interest in working in an experimental lab, but with a high degree of motivation to learn the fundamentals of computational biology, and to develop quantitative skills to analyze data more effectively
- Students with a life science degree interested in working in a dry computational lab, keen to deepen their quantitative skills and broaden their horizon in terms of experimental and computational techniques
- Students with a non-biological background (e.g. computer science, Maths, physics), who are highly motivated to transition to Life Sciences
- A high level of written and spoken English proficiency is required since most scientific activities are conducted in English,
Applications:
Send full application in Word or PDF via online portal and should contain:
- Motivation letter (max. one page)
- CV including, if available, extracurricular activities, internships, publications, conferences, awards, software contributions, etc.
- Master’s thesis summary (max. one page)
- The names and contact details of 2-3 referees
—————–Quick Overview————- | |
Organization | University of Lausanne |
Country | Switzerland |
Fellowship Level | Doctoral |
Subject areas |
Evolution, Synthetic Biology, Plant Science, Cancer Genomics, Microbiology, Molecular Biology, Neuroscience, Biological Imaging, And Computational Biology |
Fellowship amount | Fully-funded |
Eligibility | Open to all nationalities |
Deadline | 15th October 2019 |
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