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Associate/Assistant Professor in Machine Learning and Signal Processing

DTU Compute’s Section for Cognitive Systems, invites applications for appointment as Assistant or Associate Professor in machine learning and signal processing. The position is available from December 1, 2019 or according to mutual agreement. 

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. 

The Section is working actively to keep a healthy work-life balance and we are aware of the challenges facing young families in academia. Working at DTU provides much flexibility and families in Denmark enjoy a highly developed and affordable childcare system. 

Our department DTU Compute is an internationally unique academic environment spanning the 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 every 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 centers 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 programs 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 research and teaching in machine learning and signal processing.

Responsibilities and tasks
In order to be successful you are 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 and English, other courses in English. For international candidates, DTU can provide Danish language courses enabling the candidates to teach in Danish within 2-3 years.

The duties of an assistant and associate professor include research, research-based teaching and innovation. The Section is keen to ensure that assistant professors are 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 for an

  • assistant professorship must hold a PhD degree (or equivalent)
  • associate professorship 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

Your research background should be within intelligent systems, statistical modeling and machine learning. 

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 academic freedom tempered by responsibility. 

The university is located in the greater Copenhagen area, and consequently most staff and students live in Copenhagen. This city is often named as the best city in the world to live in, and for good reasons. It is world renowned for art, food, music, architecture, biking, the Scandinavian "hygge" and much more.

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 upon with the relevant union. 

The assistant professor position 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 is a full-time position and we expect the right candidate to start December 1, 2019 or according to mutual agreement.

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 October 15, 2019. Apply online 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 "Ansøg", fill out 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 the position as Associate or Assistant Professor.

The file must include:

  • Application (cover letter)
  • CV
  • Teaching and research statement, with a focus on the “Assessment” bullet points listed above
  • Documentation of previous teaching and research, as related to the “Assessment” bullet points listed above
  • 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.

Please write in your application that you've seen the job at Jobfinder.