Jobs for Bioinformatics – 2 PhD Scholarship positions to develop algorithms and computational methods to deal with the analysis of large datasets from modern and ancient sources, at DTU Health Tech, Technical University of Denmark
Deadline to Apply
June 10, 2021 (23: 59 GMT +1)
|No. of Position(s)||2|
|Research Area||– Bioinformatics|
– Biological science
– Computer science
|Scholarship||According to standard norms|
|Workplace||DTU Health Tech|
Technical University of Denmark
|Contract Period||3 Years|
You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree. Ideally, your degree should be in computer science, mathematics or biological science with a focus on quantitative and mathematical aspects.
More specifically you should ideally have the following qualifications:
- Knowledge of a programming language like Python, Perl, C++ and/or Java (C/C++ is preferred)
- Ability to work in a UNIX environment, ideally in a high-performance computing environment
- Thorough understanding of basic algorithms and data structures used in computer science
- Knowledge of probabilities and statistics
- Firm grasp of first-year university mathematics (differential calculus/linear algebra)
- Experience in bioinformatics and knowledge of metagenomics are a plus
- Expertise in next-generation sequencing data generation and processing are also a plus
The language of communication at DTU is English.
In these positions, 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 sedimentary DNA and microbial DNA. The bioinformatics section of DTU Health Tech performs research in the areas of different metagenomics, machine learning, cancer genomics and population genomics
Current bioinformatics algorithms and software are often ill-equipped to deal with DNA extracted from ancient soil samples. This ancient DNA shows high levels of fragmentation and accumulated chemical damage. Furthermore, ancient sediments often contain DNA from multiple species and often multiple individuals. Fortunately, several problems pertaining to ancient DNA can be described in a maximum-likelihood framework and computer science techniques can help us to solve such numerical problems efficiently via numerical algorithms and data structures. You will work in collaboration with other partners including the University of Copenhagen and McMaster University in order to develop the next generation of algorithms and software applied to DNA extract from fossils, ancient soils and sediments.
Given the COVID19 pandemic, we will happily accommodate requests for remote work until in-person work is deemed safe.
How to Apply?
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.
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here – in the right hand column)
- Link to a code portfolio stored in repositories like GitHub/bitbucket is not required but helpful
About the DTU Health Tech
DTU Health Tech creates health technology to improve health and well-being for humans in collaboration with companies, hospitals as well as national and international researchers. The cross-disciplinarity at the department, which includes mathematics, computer science, physics, chemistry and biology, provides the foundation for new and innovative technology for the future.
- 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
- If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
Prof. Gabriel Renaud
Post expires at 8:59am on Friday June 11th, 2021 (GMT+9)