The University of Luxembourg is a multilingual, international research University.
The University of Luxembourg has the following vacancy at the Luxembourg Centre for Systems Biomedicine (LCSB) as part of a recently funded European Research Council (ERC) Consolidator grant (https://erc.europa.eu/funding/consolidator-grants):
Doctoral candidate (Ph.D. student) focusing on the role of the human microbiome in chronic diseases (m/f)
Area: Integration and modelling of microbiome multi-omics data
The human gut microbiome is a complex ecosystem which contributes essential functions to human physiology. Changes to the microbiome are associated with several chronic diseases characterised by inflammatory signatures including autoimmune and neurodegenerative diseases. The gut is a reservoir for extensive microbial “dark matter” in the form of soluble nucleic acids, (poly-)peptides and metabolites with bioactive properties, which have so far eluded in-depth study. This gap in knowledge is limiting our understanding of the role of the human microbiome in governing human physiology and how changes to the gut microbiome impact inflammation-linked chronic diseases such as rheumatoid arthritis (RA) and Parkinson’s disease (PD). As part of the ERC-funded ExpoBiome project, a quantitative integrated multi-omic analysis (metagenomics, metatranscriptomics, metaproteomics and metabolomics) will be performed on gut microbiome samples collected from healthy human individuals and patients with newly diagnosed RA or PD. Using the cross-sectional data, extracellular microbial molecules will be identified, which are particularly enriched in, depleted in or common to the respective diseases, and traced to their respective microbial populations of origin. The resulting molecular signatures will be used to populate a dedicated Knowledge Base and to develop microbiome-based diagnostic classifiers for RA and PD.
You will define the collection of gut microbiome-derived DNA, RNA, protein, peptide and metabolite complements in the context of two chronic diseases (PD and RA), compared to healthy individuals, and relate this information to the immunophenotypes of the individuals. Based on the generated data, you will develop microbiome-based diagnostic classifiers for RA and PD. You will contribute to populating the ExpoBiome Knowledge Base (http://expobiome.lcsb.uni.lu).
For further information, please contact: Prof. Dr. Paul Wilmes, firstname.lastname@example.org
Telephone: +352 46 66 44 6188
Early-stage researcher: a researcher without a PhD, who is in the first four years (full-time equivalent research experience) of her/his research career, measured from the date when she/he obtained the degree, which would formally entitle her/him to embark on a doctorate. You will have experience in high-throughput biomolecluar analytics, bioinformatics and/or modelling. Graduation in the field of biology, bioinformatics, computational biology, or related fields. Basic knowledge of coding and complex data analysis is an absolute must. Well-structured and autonomous working style, good organizational and communication skills. Fluency in written and spoken English is a must, German and/or French is a plus.
Fully funded PhD position as part of an ERC Consolidator grant. The opportunity to work as part of an international, interdisciplinary team. The University offers competitive salaries and is an equal opportunity employer.
The Ph.D. student will work in the Eco-Systems Biology group at the LCSB and will be supervised by the head of the group, Prof. Dr. Paul Wilmes.