A two-year postdoctoral position is available in the Garg lab at University of Copenhagen. Our research focus is to develop new computational algorithms for solving fundamental genomic problems. We seek a passionate postdoc to develop sophisticated computational algorithms/machine learning methods to integrate multiple complex datasets to yield meaningful insights into human health and biodiversity. More specifically, we are interested in combining third-generation sequencing datasets for more than several hundreds of samples through novel computational models. These computational models (tools) will also be relevant to large-scale sequencing efforts such as Human Pangenome project, Personal Genome Project and Darwin Tree of Life. Refer publications: https://scholar.google.com/citations?hl=en&user=_Sn07lgAAAAJ&view_op=list_works&sortby=pubdate
The postdoc will be expected to participate both in the bioinformatics analysis of sequencing data as well as in the interpretation, writing and leading the projects. Some flexibility in the tasks is possible depending on the skills and interests of the candidate.
To be considered, applicants must:
- Have a PhD in bioinformatics, computer science, statistics, computational biology or a similar field
- Have experience in working with DNA/RNA sequencing data
- Be experienced with handling of big data
- Have published in high-quality international peer-reviewed journals
- High-performance programming skills such as C/C++/Rust/python
The working language is English, thus good English speaking, reading and writing skills are required.
For further information, please contact Shilpa Garg (Shilpa.firstname.lastname@example.org ).
The position is open from 1 December 2021or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Salary and terms of employment
Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
The starting salary is currently up to DKK 442,247 including annual supplement (+ pension up to DKK 75,624). Negotiation for salary supplement is possible.
The successful applicants will be hired as postdoctoral fellows for an initial 2-year period. The possibility exists for extension after this initial period depending on funding and performance.
The application, in English, must be submitted electronically by clicking APPLY NOW below.
- Diplomas (Master and PhD degree or equivalent)
- Letter of interest/research statement
The deadline for applications is 7 October 2021, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organization – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.
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