Publisher
source

Martin Sikora

9 months ago

Postdoctoral Positions in Ancient Pathogen Genomics at University of Copenhagen University of Copenhagen in Denmark

Degree Level

Postdoc

Field of study

Evolutionary Biology

Funding

The positions are fixed-term for two years, with the possibility of extension. Salary is based on years of experience and in accordance with the collective agreement between the Danish Ministry of Taxation and AC. The employer pays an additional 18.07% to a pension fund. The University offers a family-friendly and flexible working environment, including parental leave schemes and paid holidays. No specific stipend amount is mentioned.

Deadline

Expired

Country flag

Country

Denmark

University

University of Copenhagen

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Keywords

Evolutionary Biology
Population Genetics
Environmental Science
Biology
Statistical Analysis
Computational Biology
Medical Science
Bioinformatic

About this position

The University of Copenhagen's Globe Institute is offering two postdoctoral positions in ancient pathogen genomics, focusing on bioinformatic, statistical, and evolutionary analyses of ancient DNA data. The research is part of the APOLLO Ancient Genomics Initiative, led by Associate Professor Martin Sikora, and the Ancient Environmental Genomics Initiative for Sustainability (AEGIS), led by Professor Eske Willerslev. These interdisciplinary programs aim to uncover the evolutionary origins of human disease risk and support sustainable solutions to global challenges by integrating analyses of ancient human, pathogen, and environmental DNA.

The successful candidates will join a collaborative and international research environment at the forefront of ancient pathogen genomics. Responsibilities include developing and applying bioinformatic and statistical methods to analyze large-scale ancient metagenomic datasets, performing evolutionary and population genomic analyses, and integrating genomic data with archaeological, historical, and environmental context. The positions emphasize computational and evolutionary analyses across human, animal, and plant systems.

Applicants must hold a PhD in bioinformatics, computational biology, genomics, evolutionary biology, statistics, or a closely related field. Essential skills include experience with large-scale sequencing or metagenomic data analysis, proficiency in R and/or Python, familiarity with high-performance computing and workflow management tools, and a solid understanding of next-generation sequencing data. Desirable qualifications include experience with ancient DNA, Bayesian or likelihood-based evolutionary inference, and integrating genomic data with archaeological or environmental metadata. Excellent communication skills in English are required.

The positions are based at the Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark. Each position is initially for two years, with the possibility of extension, and is expected to start on April 1, 2026, or as soon as possible thereafter. Salary is determined by experience and collective agreement, with an additional pension contribution. The University offers a supportive, family-friendly, and inclusive work environment.

To apply, submit your application online in English, including a motivated letter, CV, certified copies of PhD and MSc certificates, and a list of publications, by January 26, 2026. For further information, contact Associate Professor Martin Sikora at [email protected]. More details and the application link are provided in the announcement.

Funding details

The positions are fixed-term for two years, with the possibility of extension. Salary is based on years of experience and in accordance with the collective agreement between the Danish Ministry of Taxation and AC. The employer pays an additional 18.07% to a pension fund. The University offers a family-friendly and flexible working environment, including parental leave schemes and paid holidays. No specific stipend amount is mentioned.

What's required

Applicants must have a PhD in bioinformatics, computational biology, genomics, evolutionary biology, statistics, or a closely related quantitative field. Essential skills include strong experience in computational analysis of large-scale sequencing or metagenomic datasets, proficiency in data analysis and statistical programming using R and/or Python, experience with high-performance computing environments and workflow management tools, and a solid understanding of next-generation sequencing data. Proven ability to perform evolutionary, phylogenetic, population genomic, or comparative genomic analyses is required. Excellent written and verbal communication skills in English are necessary. Desirable skills include experience analyzing ancient DNA or metagenomic data, familiarity with Bayesian or likelihood-based evolutionary inference, and the ability to integrate genomic data with archaeological, historical, or environmental metadata.

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Professors

Associate Professor

University Name
Country flag

Denmark

Research Interests

Bioarchaeology

Paleontology

Paleoanthropology

Ancient Dna

Population Genetics

Professor

University Name
Country flag

Denmark

Research Interests

Statistics

Biological Anthropology

Evolutionary Biology

Population Genetics

Computational Biology