PhD in Computational Biology – ETH Zurich, Switzerland

Explore advanced interdisciplinary research in bioinformatics, systems biology, AI, and data science at one of Europe’s most prestigious research institutes.

About ETH Zurich

ETH Zurich (Swiss Federal Institute of Technology) is consistently ranked among the top universities worldwide for science, technology, engineering, and mathematics (STEM). Known for its rigorous research standards, interdisciplinary collaboration, and cutting-edge infrastructure, ETH is home to a vibrant community of researchers tackling some of the world’s most complex scientific challenges.

Located in the heart of Europe, ETH Zurich provides an intellectually stimulating environment and strong international research networks, especially in life sciences, mathematics, AI, and computational biology.

Why Choose a PhD in Computational Biology at ETH Zurich?

The PhD program in Computational Biology at ETH Zurich is designed for researchers interested in applying mathematics, computer science, and machine learning to solve biological and biomedical problems. The program offers a collaborative environment at the interface of biology, computer science, and statistics, giving students access to world-class labs and interdisciplinary expertise.

You’ll work on real-world challenges in genomics, transcriptomics, systems biology, single-cell analysis, structural biology, and personalized medicine - often in collaboration with nearby institutions like the University of Zurich and the Swiss Institute of Bioinformatics (SIB).

Program Highlights

• Duration: 3 to 4 years (full-time research)

• Language: English (no German required)

• Format: Thesis-based research with optional coursework depending on your background and lab

• Supervision: Direct mentorship under internationally recognized researchers with access to shared computing and lab facilities

• Collaboration: Joint research projects with labs in AI, computer vision, mathematics, and molecular biology

Research Areas

ETH Zurich supports diverse PhD projects in computational biology, including:

• Machine learning in genomics

• AI-driven drug discovery

• Modeling biological networks

• Computational systems biology

• Structural bioinformatics and protein folding

• Multi-omics data integration

• Single-cell RNA sequencing and spatial transcriptomics

Eligibility Requirements

• Academic Background: A Master’s degree (or equivalent) in computational biology, bioinformatics, computer science, mathematics, physics, or related disciplines.

• Research Experience: Prior experience in coding (e.g., Python, R, MATLAB), machine learning, or biological data analysis is highly desirable.

• English Proficiency: Strong command of written and spoken English. GRE/TOEFL/IELTS not required, but may be requested by specific labs.

• Motivation: A strong research interest and curiosity in biology-driven computational research.

Application Process

The application process is competitive and often involves applying directly to a research group or to the Life Science Zurich Graduate School (LSZGS).

Step 1: Explore ETH Zurich faculty and research groups in Computational Biology or Systems Biology.

Step 2: Identify supervisors and open PhD calls (listed on ETH Zurich jobs portal or group websites).

Step 3: Prepare a strong research motivation letter, academic CV, transcripts, and at least 2 letters of recommendation.

Step 4: Apply either:

• • Directly to a lab
• • Or through centralized portals like LSZGS

Step 5: Shortlisted candidates may be invited for an interview and research discussion round.

Financial Support

ETH Zurich PhD students are employed as scientific assistants and receive a **fully paid salary** according to the ETH doctoral salary scale.

• Monthly Salary: Approximately CHF 47,000–52,000 per year (gross), depending on experience

• Social Benefits: Health insurance, pension contributions, and subsidized university housing support

• Travel Funding: Conference travel and research exchange grants are available via your lab or research program

Application Timeline

• Application Mode: Rolling admissions based on research group openings

• Recommended Timeline: Start exploring labs 4–6 months in advance

• Peak Hiring: Typically between November and April

Tips for a Successful Application

• Customize Your Email: If writing to a potential supervisor, show genuine interest and mention their past work. Link your skills to their lab focus.

• Highlight Projects: Showcase hands-on projects, publications, or GitHub contributions in AI, data analysis, or bioinformatics.

• Strong Motivation Letter: Be specific about your research goals, what excites you about computational biology, and why ETH Zurich is the right fit.

• Be Proactive: Professors appreciate candidates who’ve read their work and understand ongoing projects.

Life at ETH Zurich

ETH Zurich is not just a place to study—it’s a hub of innovation. You’ll work in cutting-edge facilities surrounded by a vibrant international community of researchers. The university is located in Zurich, a global city known for safety, quality of life, and access to the Alps, nature, and culture.

You’ll also benefit from collaboration opportunities with top institutions across Europe and industry partners in pharma, biotech, and AI startups.

How to Get Started

• Explore Faculty: Visit ethz.ch and browse research groups under Biology, Computer Science, and Physics departments.

• Check for Openings: Visit the ETH Zurich job portal or Life Science Zurich PhD openings.

• Prepare Early: Start contacting labs and preparing documents 4–6 months before you plan to apply.

• Network with Scholars: Reach out on LinkedIn, attend ETH-hosted webinars, or join online forums for applicants.

Final Words

If you're passionate about solving biological challenges using AI, data science, and systems modeling, ETH Zurich offers a once-in-a-lifetime research experience. With a fully-funded position, access to top mentors, and a collaborative environment, you’ll be equipped to make a real impact in science and medicine.

✨ Need help with email templates to supervisors, a motivation letter, or a Notion research planner? I’m here to help you get started!