Academic Jobs

Technical University of Denmark DTU- Logo

Postdoc position in Computational Population Genetics – DTU Health Tech, Denmark, 2022

Denmark, Technical University of Denmark (DTU)

DTU Health Tech seeks qualified candidates for a postdoc position in computational population genetics with start as soon as possible.

Support us by Sharing!

ADVERTISEMENT
Scroll Down for Content

General Info

Position: Postdoc position
No. of Positions: 1
Research Field:
Joining Date: ASAP
Contract Period: 3 Years
Salary: According to Standard Norms

Workplace:
DTU Health Tech
Technical University of Denmark
Technical University of Denmark (DTU)
Lyngby, Denmark

ADVERTISEMENT
Scroll Down for Content

Qualification Details

You must hold a PhD degree (or equivalent) ideally in biological science with a focus on quantitative and mathematical aspects, or in computer science or mathematics.The candidate we are looking for should ideally have the following qualifications:

  • Knowledge of a programming language like Python, Perl, C++ and/or Java
  • Ability to work in a UNIX environment, ideally in a high-performance computing environment
  • Ideally, proficiency in C/C++ or Java or similar is a plus (not required)
  • Thorough understanding of basic principles of population genetics
  • Knowledge of probabilities and statistics
  • Firm grasp of first-year university mathematics (differential calculus/linear algebra)
  • Knowledge of coalescence theory or diffusion theory is an advantage
  • Expertise in next-generation sequencing data generation and processing is also a plus

The language of communication at DTU is English.

Responsibilities/Job Description

In this position, you will develop algorithms and computational methods to deal with the analysis of large datasets from modern and ancient sources. More specifically, these algorithms will be aimed at analyzing a large number of ancient genomes using population genetics methods. Additional information should be obtained by contacting the potential main supervisor directly. The university is located in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

Current computational methods are often ill-equipped to deal with DNA extracted from ancient populations. This ancient DNA shows high levels of fragmentation and accumulated chemical damage. Furthermore, the number of individuals that can be sequenced is often limited. Fortunately, several problems pertaining to ancient DNA and ancient paleogenetics can be described in a maximum-likelihood framework and computer science techniques can help us to solve such numerical problems efficiently via machine learning, numerical algorithms and data structures. You will work in collaboration with other partners including the University of Copenhagen in order to develop the next generation of algorithms and software applied to DNA from fossils which can then be used to reconstruct population history and infer selection.

Given the COVID19 pandemic, we will happily accommodate requests for remote work until in-person work is deemed safe.

How to Apply?

Online Application through "Apply Now" Button from this page


Reference Number: -
(If any, use it in the necessary place)

ADVERTISEMENT
Scroll Down for Content

Documents Required

To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Academic Diplomas (MSc/PhD)
  • List of publications

About the Department

DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities.

About the Employer: Technical University of Denmark (DTU)

Note or Other details

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about DTU Health Tech at www.healthtech.dtu.dk/english.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.


ADVERTISEMENT
Scroll Down for Content

Contact details

Further information may be obtained from Prof. Gabriel Renaud at: gabre [at] dtu.dk.

Advertisement Details: Postdoc in Computational Population Genetics

Other Vacancies from this field

ADVERTISEMENT
Scroll Down for Content


Support us by Sharing!