Fully Funded PhD Program, University of Lausanne, Switzerland
The University of Lausanne (UNIL) is now offering a Fully Funded PhD Program in Quantitative Biology, providing an incredible opportunity for students from around the world. This unique, interdisciplinary program is designed for individuals interested in merging quantitative and biological sciences, fostering innovation, and conducting cutting-edge research.
The program is divided into two tracks:
- Q2B (Quantitative to Biology Track)
Ideal for candidates with a background in computer science, mathematics, physics, or engineering. This track allows you to apply computational and quantitative techniques to solve complex biological problems. It focuses on using data science to unlock new biological insights. - B2Q (Biology to Quantitative Track)
Suited for students with expertise in molecular biology, genetics, or evolutionary biology. This track emphasizes applying data science and machine learning methods to biological data to bring new understanding to experimental research.
Key Research Areas
Students will engage in world-class research in fields such as:
- Computational Biology
- Artificial Intelligence (AI) and Machine Learning for Biology
- Cancer Genomics
- Human Genetics
- Gene Regulation
- Neuroscience
- Evolutionary Ecology
Supervisors
PhD candidates will work alongside some of the most recognized names in their fields, such as:
- Auner
- Benton
- Bergmann
- Bertelli
- Chen
- Ciriello
- Gottardo
- Kuttalik
- Larsch
- Melaspinas
- Rapsomaniki
- Reymond
- Vastenhouw
- Villa
Benefits of the PhD Program
The program offers over 10 fully funded PhD positions, providing:
- Full tuition coverage
- A competitive stipend that supports living expenses
- Access to cutting-edge research labs and facilities
- Interdisciplinary collaboration opportunities
- A vibrant international research community
Why Choose Lausanne?
The University of Lausanne is one of the leading research institutions in Europe. Nestled along the shores of Lake Geneva and surrounded by the stunning Swiss Alps, Lausanne offers a high quality of life, excellent research opportunities, and a multicultural environment. With its strong academic reputation and commitment to interdisciplinary research, UNIL is an ideal place for those looking to advance their careers in biological and quantitative sciences.
How to Apply
Interested candidates should visit the official PhD program page for detailed information and to apply:
www.unil.ch/quantitative-biology
You can access the application portal here:
www.unil.ch/quantitative-biology/application
Application Deadline: October 15, 2024
Frequently Asked Questions (FAQs)
1. What is the deadline for applying to the PhD program?
The application deadline is October 15, 2024. It is recommended to start preparing your application well in advance.
2. Who is eligible to apply?
The program welcomes applications from students with backgrounds in biology, computer science, mathematics, physics, and related fields. Both domestic and international students are encouraged to apply.
3. What funding is provided for PhD students?
All positions are fully funded. This includes full tuition coverage and a stipend to support living expenses in Lausanne, along with additional benefits such as health insurance and travel funding for conferences.
4. How long is the PhD program?
The PhD typically takes around 4 to 5 years to complete, depending on the scope of the research.
5. Are international students eligible for this program?
Yes, the program is open to students from all over the world. The University of Lausanne has a strong international community, and support is provided for visa applications.
6. What kind of research will I be involved in?
Students will conduct interdisciplinary research in areas such as computational biology, machine learning, cancer genomics, neuroscience, and evolutionary ecology. The exact project will depend on the track you select and the Principal Investigator you work with.
7. What is the difference between the Q2B and B2Q tracks?
- Q2B Track: For students from quantitative backgrounds (e.g., computer science, mathematics) who want to apply their skills to biological problems.
- B2Q Track: For students with a biology background who want to enhance their research with data science and computational tools.
8. What qualifications do I need to apply?
Candidates should have a Master’s degree or equivalent in a relevant field. Research experience and strong academic references will further strengthen your application.
9. Can I apply if I’m currently completing my Master’s degree?
Yes, students in the final year of their Master’s degree are eligible to apply, provided they will have completed their degree by the time the PhD program begins.
10. How will the PhD prepare me for future career opportunities?
Graduates of this program are well-equipped for careers in academia, biotech, and industries that focus on the application of AI and machine learning in biology. The interdisciplinary skills gained during the PhD program will make you highly competitive in various fields.
For more information and to apply, visit:
www.unil.ch/quantitative-biology
