PhD in Machine Learning for Proteins: A fully funded PhD position is available in the cutting-edge intersection of machine learning and protein research. This opportunity is part of the prestigious Wallenberg DDLS-WASP project, focusing on understanding protein functions, energy metabolism, evolutionary processes, and disease-related mutations.
PhD Student Position in Machine Learning for Proteins
🎓 Designation:
PhD Student
🔬 Research Area:
Machine Learning, Proteins, Computational Biology, Biophysics
📍 Location:
Chalmers University of Technology, Gothenburg, Sweden
🧑🎓 Eligibility/Qualification:
- MSc equivalent degree in science, technology, engineering, or mathematics with a quantitative background.
- Proven experience in machine learning, evidenced by published research.
- Strong English writing and speaking skills (Swedish knowledge not required).
📝 Job Description:
- Research: Conduct high-quality research combining ML approaches with computational, biochemical, biophysical, and structural data in collaboration with project leaders and group members (60%).
- Coursework: Complete relevant coursework as part of the doctoral program (20%).
- Teaching & Service: Support departmental teaching and service activities (20%).
The position is fully funded for up to 5 years and offers a vibrant research environment through collaboration between two of Sweden’s largest research programs: WASP and DDLS.
🌟 Perks:
- Inspiring research environment in Gothenburg, a beautiful coastal city.
- Opportunities for personal and professional development.
- Active engagement in equality and diversity initiatives, including the GENIE Initiative.
🛠 How to Apply:
Submit your application electronically, including:
- CV
- Professional experiences, previous employment, leadership roles, etc.
- Contact details for two references.
- Personal Letter (1-3 pages)
- Introduction and motivation.
- Relevant experiences (e.g., education, thesis work, and research activities).
- Future goals and research focus.
- Other Documents
- Copies of bachelor’s and/or master’s thesis.
- Attested copies and transcripts of completed education, grades, and certificates (e.g., TOEFL results).
⚠️ Important: Ensure the application is complete and submitted as PDF files (maximum size 40 MB each). Incomplete or email applications will not be considered.
📥 Submission: Access the application form through the provided link at the bottom of the official announcement page.
⏰ Last Date to Apply:
2025-01-31
📩 For Questions:
Simon Olsson
Email: simonols@chalmers.se
