Doctoral Student in Computational Chemistry

ETH Zürich; Zürich; Vor Ort; CHF 45.000 - 60.000; Vollzeit

Zusammenfassung

ETH Zürich invites applications for a doctoral project in computational chemistry within the group of Prof. Dr. Sereina Riniker at the Institute of Molecular Physical Science.

The project focuses on methodology development for classical molecular dynamics simulations, cheminformatics, and related biological questions. The candidate will perform MD simulations with enhanced sampling, apply machine learning to cheminformatics challenges, and collaborate with a pharmaceutical partner and an

Qualifikationen

• MSc in computational chemistry, chemistry, biochemistry, or physics.
• Experience with MD simulations and machine learning is advantageous.
• Proficiency in English and strong communication skills.
• Good social competence and collaborative mindset.

Aufgaben

• Conduct MD simulations including enhanced sampling techniques.
• Develop and test machine learning models relevant to cheminformatics.
• Collaborate with pharmaceutical and academic partners to address research questions.

Kenntnisse

MSc in Computational Chemistry

MD simulations

Machine Learning

Python

English proficiency

Ausbildung

MSc in computational chemistry / chemistry / biochemistry / physics

Tools

Molecular dynamics software

Jobbeschreibung

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.

Job description

• 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 communication skills.
• Good social competence.

We welcomeself-motivated candidates with outstanding academic record, excellent communication skills and professional integrity to apply.

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.

We value diversity and sustainability

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.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting-edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow.