Doctoral Researcher in Computational Biology, Bioinformatics and Machine Learning

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

The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University focuses among others on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide forits “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research ngcentre (IC), integrating experimental biology and computational biology approaches in order to develop the foundation of a future predictive, preventive and personalized medicine.

Your Role...

We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics, neuroimaging and clinical data to predict prognostic outcomes of interest (clinical progression, worsening of morphometry and connectivity patterns in brain MRI). This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Classification models guided by prior mechanistic knowledge will be built, exploiting the known grouping structures among features in the omics and neuroimaging data, using dedicated structured learning algorithms. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in neurological disorders.

What we expect from you…

• The candidate will have an MSc or equivalent degree in bioinformatics, computational biology, biostatistics, machine learning, or related subject areas
• Prior experience in large-scale data processing and statistics / machine learning is required
• Previous work and publications in bioinformatics analysis of large-scale biomedical data (e.g., omics, clinical, structural bioinformatics, other biomedical data) should be outlined in the CV
• Demonstrated skills and knowledge in omics data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous
• The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research
• Fluency in oral and written English

We offer...

• An opportunity to join the Luxembourg Centre of Systems Biomedicine with an international and interdisciplinary ethos
• Working in a scientifically stimulating, innovative, dynamic, well- equipped, and international surrounding
• Opportunity to work closely with international academic partners
• State-of-the-art research facilities and computational equipment

In Short...

• Contract Type: Contrat à durée déterminée 36 Mois (extendable up to 48 months if required)
• Work Hours: Full Time 40.0 Heures par Semaine
• Location: Belval
• Employee and student status
• Job Reference: UOL05537

The yearly gross salary for every PhD at the UL is EUR 38028 full time

How to apply...

Applications should be submitted online and include:

• A detailed Curriculum Vitae
• Cover letter, including a brief description of past research experience and future interests, as well as the earliest possible starting date
• Copies of degree certificates and transcripts
• Name and contact details of at least two referees

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

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

In return you will get…

• 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 …
• Find out more about the University
• Addresses, maps & routes to the various sites of the University

Further information...

Please contact: Enrico Glaab (enrico.glaab@uni.lu)