Associate Professor in Analysing Complex and Unstructured Data

DTU Fødevareinstituttet
tirsdag 31 okt 17

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Frist 29. november 2017
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Are you interested in providing novel statistical/mathematical solutions for analysing big complex data and addressing some of the world’s largest health problems including antimicrobial resistance?

A position as an associate professor is available at National Food Institute (DTU Food) in the Research Group for Genomic Epidemiology. The successful applicant is expected to interact closely with other departments at DTU, including DTU Compute.

The Genomic Epidemiology group performs research, advisory service and teaching in global surveillance and control of infectious diseases and antimicrobial resistance. The group is also an EU and WHO Reference Laboratory for Antimicrobial Resistance and Genomics and combines activities on development and implementation of whole genome and community sequencing, bioinformatics and epidemiological modelling of the occurrence of human and zoonotic microbiological hazards both at a global perspective.

We offer a position as associate professor. The position is affiliated with a responsibility for developing and expanding a novel research area within the group where novel mathematical /statistical methods for analysing and understanding big and complex data should be developed and used. This will include integrating data generated from complete sequencing of environmental and clinical samples, with large scale explanatory variables; e.g. abundances of 10s of millions of genes with 1,000s of explanatory variables.

Responsibilities and tasks
In microbiome, metagenomics, infectious disease and antimicrobial resistance research we are today generating terabytes of data, where following bioinformatics processing we may have abundance profiles for 10s or even 100s of millions of unique genes. The abundance of each gene might be linked to other genes and also explained by several 1,000s of environmental factors, including host, climate, trade, travel, treatment, feed, etc. These data have to be analysed based on a very limited number of measurements. There is a growing need to provide novel statistical analysis of such data, including predictive modelling.

The successful candidate will have a primary responsibility for developing this research area in the group and bridge the already existing expertise in bioinformatics and epidemiology with novel statistical and mathematical modelling.

The tasks will be conducted in close collaboration with DTU Compute and DTU Bioinformatics.

The assessment of the candidates will involve scientists from all three departments and the successful candidate will be expected to interact closely with scientists and teachers across the departments.

Other content of the position, include:

  • Exchanging knowledge with society, including participation in the public debate and advisory service
  • Research management
  • Some teaching, including e-Learning
  • Guidance and supervision of PhDs and Post docs
  • Academic assessment work

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

Further qualifications:

  • Expertise in statistics and/or mathematics
  • Ability to think “out of the box”.
  • You are driven by exploring boundaries
  • You enjoy working with complex topics
  • You are motivated by both personal and team accomplishments
  • You thrive on collaboration and teamwork
  • You have a focus on processes and development as much as on results
  • You believe in dialogue and feedback as the best foundation for sound decision making
  • You understand that reflection and personal development is vital to innovation
  • You strive to develop talent amongst others

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

Consideration will also be given to:

  • Ability to understand and analyse complex and un-structured data

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 Frank M. Aarestrup, tel.: +45 3588 6281, fmaa@food.dtu.dk.

You can read more about the research group on www.food.dtu.dk/english/research/genomic-epidemiology

Application procedure
Please submit your online application no later than 29 November 2017 (Local time).

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.

In the field “Please indicate which position you are applying for” please indicate whether you are applying for position as Associate or Assistant Professor.

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 (applicants applying for the position as associate professor should indicate scientific highlights)
  • 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.

The National Food Institute researches and communicates sustainable and value-adding solutions in the areas of food and health for the benefit of society and industry.

The institute’s tasks are carried out in a unique interdisciplinary cooperation between the disciplines of nutrition, chemistry, toxicology, microbiology, epidemiology and technology.

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.

http://www.food.dtu.dk/service/om-os/ledige-stillinger/job?id=dfebe9b6-5e40-4671-9d83-24f8b431f7d3
24 NOVEMBER 2017