Postdoctoral Position in Systems Biology (University of Luxemburg)

Contract Type: Fixed Term Contract Duration: 24 Month About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your role This is a fully funded position for 24 months within the FNR INTER project “Efficient and Efficacious Cellular Reprogramming with Edgetic Perturbations” (EdgeCR). EdgeCR aims to push the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its fine-grained control at the edgetic perturbation level. By filling this critical gap, EdgeCR will significantly enhance our ability to understand and manipulate gene regulation. The proposed computational framework, integrated with deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit for cellular reprogramming. The candidate’s tasks include the following: Conduct research as part of the EdgeCR project, contributing to its scientific objectives Disseminate research results through publications in top-tier conferences and journals Participate in proposal writing Assist and/or contribute in teaching activities Support in the supervision of master/bachelor students The candidate will be supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming skills in C/C++ and Python Relevant experience in deep reinforcement learning A proactive attitude towards achieving research excellence Demonstrated commitment, teamwork abilities, and critical thinking skills Passionate about interdisciplinary research and eager to collaborate with biologists Fluent written and verbal communication skills in English (mandatory) We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR) A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications (in PDF format) should include: Curriculum Vitae including your current contact details, work experience, publications Cover letter including the personal motivations for applying to the position (max 1 page) Copies of relevant certificates Names and contact information of 2-3 referees Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 24 Month Work Hours: Full Time 40.0 Hours per Week Planned Start Date: November 2025 Location: Campus Belval Internal Title: Postdoctoral researcher Job Reference: UOL07425 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time). If you apply for this position please say you saw it on Academicoxy

Contract Type:

Fixed Term Contract

Duration:

24 Month

About the FSTM

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.
Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.

Your role

This is a fully funded position for 24 months within the FNR INTER project “Efficient and Efficacious Cellular Reprogramming with Edgetic Perturbations” (EdgeCR).

EdgeCR aims to push the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its fine-grained control at the edgetic perturbation level. By filling this critical gap, EdgeCR will significantly enhance our ability to understand and manipulate gene regulation. The proposed computational framework, integrated with deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit for cellular reprogramming.

The candidate’s tasks include the following:

Conduct research as part of the EdgeCR project, contributing to its scientific objectives
Disseminate research results through publications in top-tier conferences and journals
Participate in proposal writing
Assist and/or contribute in teaching activities
Support in the supervision of master/bachelor students

The candidate will be supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly.

Your profile

PhD in Computer Science or a related discipline, coupled with outstanding academic and professional qualifications
Proven research experience in the field of modelling and analysis of biological networks
Solid foundation in mathematics and algorithmic design
Strong programming skills in C/C++ and Python
Relevant experience in deep reinforcement learning
A proactive attitude towards achieving research excellence
Demonstrated commitment, teamwork abilities, and critical thinking skills
Passionate about interdisciplinary research and eager to collaborate with biologists
Fluent written and verbal communication skills in English (mandatory)

We offer

Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications (in PDF format) should include:

Curriculum Vitae including your current contact details, work experience, publications
Cover letter including the personal motivations for applying to the position (max 1 page)
Copies of relevant certificates
Names and contact information of 2-3 referees

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information: