Doctoral Student in Computational Chemistry

Eidgenössische Technische Hochschule Zürich; Zürich; Hybrid; CHF 50.000 - 70.000; Vollzeit

Benefits dieser Stelle

Collaboration with industry

Zusammenfassung

ETH Zurich is seeking a Doctoral Student in Computational Chemistry in the Riniker group within the Institute of Molecular Physical Science. The role focuses on developing MD methodologies and cheminformatics, collaborating with industry and academia.

The candidate should hold an MSc in a related field, have experience with MD simulations, machine learning, and strong Python skills, and communicate well in English.

Qualifikationen

• MSc required in computational chemistry, chemistry, biochemistry or physics.
• Experience with MD simulations, machine learning and Python is advantageous.
• English proficiency and good social skills are essential.

Aufgaben

• Conduct molecular dynamics simulations including enhanced sampling techniques.
• Apply machine learning methods to the project tasks.
• Collaborate with a pharmaceutical company and an academic lab.
• Develop methodology for classical molecular dynamics and cheminformatics.

Kenntnisse

MD simulations

Machine learning

Python programming

English proficiency

Social competence

Ausbildung

MSc in computational chemistry, chemistry, biochemistry, or physics

Jobbeschreibung

Doctoral Student in Computational Chemistry

Prof. Dr. Sereina Riniker's group forComputational Chemistryat the Institute of Molecular Physical Science isinterested in the development of methodology for classical molecular dynamics simulations and cheminformatics, and in the application of those methods to address challenging biological and chemical questions.

Project background

The main Doctroal project will be in collaboration with a pharmaceutical company and an experimental academic lab focusing on cyclic peptides, protein-binding affinity, and cell permeability.

• The project will involve molecular dynamics (MD) simulations including enhanced sampling techniques as well as machine learning.

Profile

• Applicantsshould hold a M.Sc. in computational chemistry,chemistry, biochemistry, or physics.
• Experiences with molecular dynamics (MD)simulation, machine learning, and strong programming skills (Python) are highly advantageous.
• Proficiency in English.
• Good social competence.

We offer

The project offers research and training in computational chemistry and computer-aided drug design.Group members will not only have the opportunities to work with cutting-edge resources in a collaborative environment but also to co-work with international faculty and researchers in academia and industry, stimulating creative ideas and research opportunities.

In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future .