Internship for Students of Computational Biology, Computational Chemistry, Applied Mathematics (6 months)

Description

The Structure-Function ML group within Prescient Design/AI4DD, CS CoE in Basel seeks exceptional graduate interns with a demonstrated research background in structural biology, computational protein design, or machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.

Our mission is to develop and apply cutting-edge methods in designing novel molecules. Researchers will primarily focus on de novo computational protein design and the application of deep generative models but should be broadly interested in physics-, chemistry-, and biology-informed methods at the interface of wet lab biology and computational modeling that can help drive and sharpen the research questions we study.

Responsibilities

In this role, your responsibilities will include:

• Participate in cutting-edge research in physics-based modeling and machine learning and applications to drug discovery, design, and development.
• You will collaborate closely with cross-functional teams to solve complex problems in the life sciences e.g., structural and computational biology, computational chemistry, etc.

Qualifications

To succeed in this role, you have the following:

• You graduated from a Master's program within the last year, or you are enrolled in a PhD program in Computational Biology, Computational Chemistry, Physics, Computer Science, Statistics, Applied Mathematics, or a related technical field.
• Strong understanding of protein structure and function
• Previous experience in protein engineering or computational protein design
• Strong publication record and experience contributing to research communities
• Strong programming skills in Python and proficient with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX).

Additional Information

Start Date: June 2026

Length of Assignment: 6 months

Internship is only possible on a full-time basis

Application process

Your application should include the following documents:

• An up-to-date CV and a motivation letter
• A certificate of enrollment (if you are currently studying)
• For non-EU/EFTA citizens: Due to legal requirements, you must provide a certificate issued by your university confirming that the internship is a mandatory part of your studies