Assistant Professor in Machine Learning

DTU Compute
torsdag 22 mar 18

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Frist 21. april 2018
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DTU Compute’s Section for Cognitive Systems, invites applications for an appointment as Assistant Professor within machine learning. The position is available from May 1, 2018 or according to mutual agreement.

The assistant professorship is a permanent entry-level faculty position.

The Section for Cognitive Systems is a lively and research oriented group of scientists and support staff with a shared interest in information processing in man and computer, and a particular focus on the signals they exchange - audio, imagery, behavior – and the opportunities these signals offer for modeling and engineering of cognitive systems.

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of very industry, service, and human endeavor.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation.

The aim of the new position is to consolidate and expand the Departments teaching and research in theoretical aspects of machine learning, in particular approximate Bayesian inference.

Responsibililties and tasks
The research background of the applicant should be within statistical machine learning. We are particularly interested in applicants with original results in approximate inference, e.g., in advanced sampling methods.

The successful applicant is expected to participate in departmental teaching at all levels. The teaching will cover Bachelor-, Master- and PhD-level courses. Bachelor courses are taught in Danish, other courses in English. For international candidates, DTU offers Danish language courses, with the purpose of being able to teach in Danish within the first two-three years.

The duties of an assistant professor include research-based teaching, research (including publication / scientific dissemination duties) and innovation. The distribution between the various duties may vary periodically, but a balance must be struck such that the assistant professor is able to develop in both research and teaching. The Section is keen to ensure that an assistant professor is given supervision and guidance, including education in university teaching.

For the position, the key qualification requirements are as follows: 

  • Documented scientific production/publication and research potential to become an international leader in your field.
  • Ability and desire to contribute to the Section’s national and international collaborative efforts.
  • Ability and desire to disseminate research results and research-based innovation in society.

Qualifications
Candidates must hold a PhD degree (or equivalent).

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

  • Experience and quality of teaching
  • Research experience
  • Research vision and potential
  • Societal impact
  • Documented innovation activities, including commercialization and collaboration with industry
  • International experience
  • Internal and external 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.

An assistant professorship is a permanent entry-level faculty position. After a maximum of 4 years, an assistant professor can be promoted to an associate professor position after assessment. More information can be found here: Career paths at DTU.  

The position will be based in the Section for Cognitive Systems.

Further information
Further information may be obtained from Head of Section Lars Kai Hansen, lkai@dtu.dk.  

You can read more about DTU Compute and the involved research sections on www.compute.dtu.dk.

Application procedure
Please submit your online application no later than 21 April 2018. 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 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 interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

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.