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BACKGROUND

A position as associate professor in the field of bioinformatics is available at the newly formed Department of Bio and Health Informatics (DTU Bioinformatics) at the Technical University of Denmark within one of the areas of Health Informatics, Biotechnology and Meta-Genomic Informatics and Artificial Intelligence in Life Science.

DTU Bioinformatics:
The research and teaching at DTU Bioinformatics is focused on benefitting from the wealth of new data and data types being generated within Life Science 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 artificial intelligence and machine learning solutions to the challenge of handling and interpreting large scale and heterogeneous data. The work is centered on the following themes:

Machine learning in Life Science:
Machine learning is a specialized field within artificial intelligence covering algorithms with the ability to learn (from data) without being explicitly programmed. In contrast to conventional top down hypothesis driven research, with machine learning techniques, biological mechanisms are identified directly from data most often without any prior hypotheses. Within biology this approach has proven very powerful. A focus of the department is thus to design and develop new algorithms and tools to meet the challenges of the amount and the complexity of big data within the health sector, and the upcoming data avalanche from the biotech industry.

Health Informatics:
Within the theme Health Informatics DTU Bioinformatics is engaged both in a) human genetics based health informatics, examples being the hologenetic view on childhood leukaemia and patient stratifications with traditional medicine approaches b) infectious diseases informatics, examples being the preparing for the next generation of global disease surveillance and building local outbreak predictors.

Biotechnology and MetaGenomic Informatics:
Within the theme Biotechnology and MetaGenomic Informatics DTU Bioinformatics has strong interaction with the Danish Biotech industry in the discovery and refining of industrially important processes, examples being using large scale omics together with machine learning concepts to improve food related processes like wine fermentation and milk production.

RESPONSIBILITIES

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 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. The candidate will also take on the task as the head of studies for the bachelor program within Human Life Science Engineering. Furthermore supervision of assistant professors, postdocs and master students are expected as well as continuing education and dissemination of research results at all levels.

Please note that the expected teaching on undergraduate level is primarily to be in Danish (or a Scandinavian language) and on postgraduate level (M.Sc. or PhD) it is required to be in English. Also, the work as head of studies requires good command of a Scandinavian language.

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 (e.g., in particular DTU Compute, DTU BioEngineering, DTU Food, DTU Veterinary, DTU Aqua, and DTU BioSustain) and from other national and international research groups.

REQUIREMENTS

Qualifications:
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.

TERMS

Assessment:
In the assessment of the candidates consideration will be given to:

Experience in teaching and education
Scientific production and research potential at an international level
The ability to promote and utilize research results
An all-round experience basis, preferably including international experience
The ability to contribute to development of the department's internal and external cooperation

COMPENSATION

We offer:
DTU offers an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. DTU is a leading technical university in northern Europe and benchmarks with the best universities in the world.

Salary and terms of employment:
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union.

Further information:
Further information may be obtained from Professor Ole Lund, mail olund[at]dtu.dk

You can read more about the Department of Bio and Health Informatics on http://www.cbs.dtu.dk

ABOUT US

DTU Bioinformatics is a new department at DTU formed by the bioinformatic part of the former Department of Systems Biology. DTU Bioinformatics is operating at the highest level of research, teaching, innovation, and consultancy services within the areas biotechnological informatics and health informatics. The department's activities in the fields of research, teaching, scientific advice, and innovation are centered on the following research areas: health and cancer, immunology, infectious diseases, proteins, molecular biology, and molecular mechanisms, plants and biotechnology and big data infrastructure.

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 10,300 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.

HOW TO APPLY

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
Diploma (MSc/PhD)
List of publications indicating scientific highlights
H-index, and ORCID (see e.g. http://orcid.org)
Documentation of teaching experience (e.g. in the form of a teaching portfolio)

DEADLINE

Please submit your online application no later than 11 October 2016.

Applications and enclosures received after the deadline will not be considered.

POLICY

All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

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