Associate Professor in Metagenomics and Bioinformatics

Employer
Department of Bio and Health Informatics at the Technical University of Denmark (DTU Bioinformat
Location
Copenhagen, Hovedstaden (DK)
Salary
-
Posted
March 12 2018
Position Type
Contract
Organization Type
Academia

The Department of Bio and Health Informatics at the Technical University of Denmark (DTU Bioinformatics) has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, quantitative genomics, integrative systems biology and machine learning. The research involves the use of vast amount of phenotypic, clinical, environmental, biological, biotechnological and multi-omic information in humans, animals, plants and microbes. We run projects combining big data and laboratory research via the national supercomputing center or Computerome and the molecular biology/genomics laboratories.

The department is seeking an associate professor in the field of metagenomics and bioinformatics with a focus on the human and animal microbiome. The research at DTU Bioinformatics is focused on quantitative, bioinformatics and computational analyses of new data and data types being generated within biological, biomedical, clinical, and biotechnological and life sciences area. It strives to gain new knowledge, drive innovation in human and animal sciences and technology, and collaborate with all relevant industries. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop bioinformatics, quantitative genomics, immuno-informatics, metagenomics and systems biology methods and solutions to the challenge of handling and interpreting large scale and heterogeneous big data. The department consists of seven research groups and two core infrastructures (DMAC and access to Computerome). The department’s research is centered on the following areas:

  1. Health Genomics and immuno-informatics
  2. Quantitative & Systems Genomics, Bioinformatics, Integrative Omics Data Analyses
  3. Machine learning in Life and Medical Sciences

Responsibilities and tasks

  • The applicant should be able to document a strong profile for research, education and external collaborations in human/animal metagenomics and bioinformatics including expertise in high performance computing in life / medical sciences.
  • The candidate must actively take part in the development of bachelor and master courses and teach within the field of metagenomics and bioinformatics.
  • The candidate must actively develop and run research projects or programs and actively seek external funding from national, EU and international funding bodies in human/animal metagenomics and related areas.
  • The candidate will closely collaborate with the quantitative & systems genomics group in the area of microbiome systems biology/genomics.
  • Supervise and/or co-supervise master and PhD students and mentor postdocs and assistant professors, in his/her area of expertise and perform academic assessment work.
  • Dissemination of research results at all levels including publications of research in high impact journals.
  • Establish and strengthen collaboration with national and international groups working in the above areas.
  • Continued interaction with peers from relevant departments and centers at DTU and from other national and international research groups.

Qualifications

  • A PhD degree in one or more of the following areas: genome informatics or bioinformatics and computational biology or systems biology.
  • Academic qualifications equivalent to those obtained by holding a senior postdoc / research associate, senior scientist or assistant professorship, and documented didactic/pedagogic training.

Further Qualifications

  • Documented experience in the use of next generation sequencing (NGS) methods and tools for analysis of NGS data (genomic, metagenomics, transcriptomic) in human or animals
  • A good experience in UNIX / LINUX computing systems and HPC infrastructure
  • Data integration of omics data / systems biology
  • High performance computing and machine learning
  • Programming languages relevant for bioinformatics, e.g. Python, Perl, R
  • Evidence of teaching at BSc and/or MSc level in relevant disciplines

Assessment
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 Head of Department and Professor Haja Kadarmideen, mail: director@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 6 April 2018.

Apply at www.career.dtu.dk

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 “AssOKessment” bullets
  • Documentation of previous 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.
 


DTU Bioinformatics has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, quantitative genomics, integrative systems biology, artificial intelligence and machine learning. The research involves the use of vast amounts of phenotypic, clinical, environmental, biological and multi-omic information in humans, animals, plants and microbes. We run projects combining big data and laboratory research via the national supercomputing center or Computerome and the molecular genomics laboratories.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 11,000 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

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