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A position as associate professor in the field of bioinformatics is available at the Department of Bio and Health Informatics (DTU Bioinformatics) at the Technical University of Denmark within the area of metagenomics.
The research at DTU Bioinformatics is focused on benefitting from the wealth of new data and data types being generated within biomedical and life sciences to improve human and animal health and develop solutions to problems of biotechnological and industrial interest. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop bioinformatics, quantitative genomics, metagenomics and systems biology methods and solutions to the challenge of handling and interpreting large scale and heterogeneous data. The department consists of three research sections (Section of Health Informatics, Section of Metagenomics and Epidemiology and Section of Systems Genomics) and has access to two core infrastructures (DMAC and Computerome).

The work is centered on the following themes:

  • Machine learning in Life Science
  • Health Informatics
  • Biotechnology and MetaGenomic Informatics
  • Systems Genomics

Responsibilities and tasks
The candidate must actively take part in the promotion, development and improvement of research and education in bioinformatics within the areas described above. The department is especially looking for candidates with expertise in high performance computing in the life sciences. The successful candidate will be working on applying Machine Learning techniques to plant and bacterial chemical and omics data, in addition to environmental as well as image data. This approach of combining omics with AI and image analysis requires the candidate to collaborate with peers from various research fields.

The department has a strong history of collaboration with national and international groups. The candidate will run several projects and collaborations in parallel and the work involves participation in large-scale international projects, as well as interaction with peers from relevant departments and centers at DTU and from other national and international research groups.

Candidates must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained by holding an Assistant Professorship, and documented didactic/pedagogic training.

Further Qualifications:
The candidate must strengthen the activities within one or more of the following areas:

  • Analysis of NGS data (genomic, metagenomics, transcriptomic)
  • Data integration of omics data
  • High performance computing and Machine learning
  • Programming languages relevant for bioinformatics, e.g. Python, Perl, R

The applicant should be able to document a strong potential and profile for research and education. The candidate is expected to have solid teaching experience and to participate in planning and teaching at bachelor, master and PhD levels. Furthermore, supervision of assistant professors, postdocs and master students is expected as well as continuing education and dissemination of research results at all levels.

In the assessment of the candidates, consideration will be given to

  • Experience and quality of teaching
  • Research impact and experience, funding track record, and research vision
  • Societal impact
  • Documented innovation activities, including commercialization and collaboration with industry
  • International impact and experience
  • Leadership potential and collaboration
  • Communication skills

We offer
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 an academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union.
You can read more about career paths at DTU here.

Further information 
Further information may be obtained from Professor Thomas Sicheritz-Pontén, mail thomas@bioinformatics.dtu.dk
You can read more about the Department of Bio and Health Informatics on www.bioinformatics.dtu.dk/english

Application procedure
Please submit your online application no later than 16 October 2017. Apply via the "Apply" link
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • CV
  • Views regarding teaching and research based on the “Assessment” bullets
  • Documentation of precious teaching and research based on the “Assessment” bullets
  • List of publications
  • H-index, and ORCID (see e.g. http://orcid.org/)
  • Diploma (MSc/PhD)

Applications and enclosures received after the deadline will not be considered.
All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

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