Teaching, research and practice - we connect
Your tasks
You will be developing new molecular modelling algorithms that will use quantum computing to optimize and accelerate protein interaction calculations. You will work closely at the interface of research groups specialized in computational biology, computational chemistry and quantum computing and implement algorithms on real and emulated quantum hardware. You will:
The position is temporary until the end of 2023, with the option to transfer to a Ph.D. program after successful evaluation.
- establish molecular modelling methods for protein-ligand, enzyme-substrate, and protein-protein interactions
- assess quantum computing algorithms for accelerating and/or optimizing molecular modelling calculations
- integrate and test quantum computing algorithms in molecular modelling methods
- use deep learning algorithms to predict chemical structures from spectral data
- write publications and contribute to proposals to support research directions
The position is temporary until the end of 2023, with the option to transfer to a Ph.D. program after successful evaluation.
Your profile
- master’s degree in computational biology, computational chemistry, computer science or related fields
- interest in applying molecular modelling calculations to predict protein interactions
- understanding of the principles of machine learning methods
- experience in developing software projects using Unix, Java, Python or another high-level language
- excellent communication and collaboration skills
- detail-oriented design, coding, debugging, and problem-solving skills
- experience with version control, code reviews and continuous code repository integration as well as experience with parallel computing and with collaborative software development would be a plus
Your prospects:
The School of Life Sciences offers state-of-the-art technical, laboratory and office facilities. Internationally networked working groups work on up-to-the-minute scientific topics in a range of applied areas. Contributing to the school’s highly motivating working environment – which is second to none – are its collaboration with a large number of companies and institutions in Switzerland and abroad, a widely varied programme of scientific events, and daily contact with young students in research and teaching; expectations of personal initiative are correspondingly high. The FHNW is also committed to equal opportunities and the compatibility of private and professional life.
Your benefits:
Wide range of university sports
Cultural programme of lectures, concerts, theatre and films
Established implementation of equal pay
Targeted promotion of doctoral projects
Annual working time (42 hours/week) with the option of part-time and teleworking
Mentoring programme for career development
Start Date: immediately.
Your workplace
Hochschule für Life Sciences FHNW
Hofackerstrasse 30
4132 Muttenz
Hofackerstrasse 30
4132 Muttenz
Any questions?
About the position:
Prof. Dr. Abdullah Kahraman, , Contact: abdullah.kahraman@fhnw.ch
About the recruiting process:
Cristina Kabas, HR Manager, Contact: +41 61 228 54 02