Postdoc Position in Immunoinformatics, Machine Learning and Proteomics

Posted 12 Jan 2022

University of Southern Denmark

Denmark (Post Doc)

The Department of Biochemistry and Molecular Biology and the Department of Mathematics and Computer Science at the University of Southern Denmark (Associate Professor Veit Schwämmle and Assistant Professor Konrad Krawczyk) invite applicants for a postdoctoral fellowship within the field of Bioinformatics to be filled as soon as possible, earliest by 1 March 2022, for a period of one year, extendible for another year. Application deadline: 15 February 2022.

The selected candidate will develop a proof-of-concept framework for detecting antibody-derived peptide signatures in proteomics datasets. More specifically, the research project entails the analysis of millions of B-cell receptor sequences by machine learning to determine disease-specific antibody peptides that can be detected in proteomics datasets. These peptides will be confirmed by extensively re-searching public and in-house proteomics data. This project will start with data from COVID-19 related studies as the main use case.


The Protein Research Group offers a strong international research environment in protein chemistry, biomolecular mass spectrometry and computational proteomics. Our computational proteomics efforts include the implementation of fully automated, reproducible state-of-the-art workflows, as well as the development of novel tools for statistical analysis, machine learning and quantitative functional proteomics.

The Computational Biology Group at the Department of Mathematics and Computer Science covers a range of multidisciplinary topics from biological data federation, genomics, network biology and immunoinformatics.

We are seeking outstanding candidates with strong analytical and problem-solving skills, who are strong in written and oral communication (in English) and have documented experience in machine learning (in particular deep learning) and bioinformatics. Expertise in handling and understanding protein mass spectrometry data is an advantage, but not a requirement. The successful candidate will participate in independent research projects and assist in the supervision of undergraduate students.

How to Apply

The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.

The application must include the following:

• A curriculum vitae including information on previous employment.

• A full list of publications stating the scientific publications on which the applicant wishes to rely.

Shortlisting may be used in the assessment process.

Incomplete applications and applications received after the deadline will neither be considered nor evaluated.

To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.