The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in complex neurological and cancer disorders.
Your profile
- The candidate will have an MSc or equivalent degree in biostatistics, bioinformatics, computational biology, 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. It should be outlined in the CV
- Demonstrated skills and knowledge in omics data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous
- Experience with analysis of single-cell data is a plus
- Familiarity neurodegenerative disease biology is beneficial
- The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research
Language Requirements:
Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission – Doctoral Candidates.
We offer
- A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
- An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
How to apply
Applications should include:
- Curriculum Vitae
- Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
- Transcript of all modules and results from university-level courses taken
- Names, contact information and current position of 1-2 referees who can, upon request, provide an assessment of the application. Please indicate their relationship to you
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 36 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Belval Campus
- Internal Title: Doctoral Researcher
- Job Reference: UOL08098
The yearly gross salary for every Doctoral researcher at the UL is EUR 41976 (full time).
About us
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg.We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.
