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Full Professor in Machine Learning 1012765
Department of Engineering (ENG), Aarhus University (AU) invites applications for a position as full professor in the field of Machine Learning (ML). 

Aarhus University is investing in a new Centre for Digitalisation, Big Data and Data Analytics called DIGIT (see http://digit.au.dk/). The University has also made an ambitious strategic investment in a 5-year recruitment plan to increase its activities significantly within research and education in the engineering sciences with the vision of bringing AU into the global engineering elite. Therefore, the University seeks exceptional innovative and visionary engineering researchers to be part of this build-up to strengthen and develop Machine Learning engineering activities at Aarhus University. We expect the candidate to focus on one or more of the following fields: statistical machine learning, neural networks, deep learning, reinforcement learning, ML for machine perception.

The position is available from spring 2019 or as soon as possible thereafter. 

Responsibilities include developing an innovative strategic research agenda together with colleagues and external partners, nurturing and leading excellent research activities, contributing to an inspiring and industrially relevant education at undergraduate and graduate levels and expanding industrial collaboration.

The position will be anchored in the department’s Electrical and Computer Engineering (ECE) section, and the candidates are expected to work closely with other professors/researchers/groups within DIGIT, the ECE section and department as well as with external stakeholders. The ability to work in a multidisciplinary team is essential.

Successful candidates must have a PhD in electrical/computer engineering, or a closely related field. The candidates must have excellent written and verbal communication skills. They must have an exceptional record of:

  • Attracting substantial external funding for research projects;
  • Carry out cutting edge research demonstrated by publications in top journals/conferences; and
  • Demonstrated an ability to research leadership including communicating scientific ML results to the public at large.

Relevant industrial R&D experience is considered positive. 

The candidates are expected to be able to drive the build-up of internationally competitive research activities, and/or contribute to strengthening the current research activities. Commitment to excellence in teaching at both undergraduate and graduate levels, including existing courses and development of new courses, is expected.

Place of employment and place of work
The place of employment is Aarhus University, and the place of work is Science and Technology, Finlandsgade 22, 8200 Aarhus N, Denmark.

Application
Your application must be in English and include a CV including research activities, R&D experience, a complete publication list as well as your teaching, fundraising and leadership experience. Also, a teaching plan/statement and a research plan (length of 2-3 pages each, including your planned future teaching and research directions) are required. Please provide your ResearcherID, Google Scholar profile link, and/or a unique search query in Google Scholar and/or Web of Science to retrieve your publication and citation track record. Also, please provide names of references (minimum 3) whom the search committee may contact directly. All applications must be made online.

Further information
For more information, please contact Head of the ECE Section Jens Kargaard Madsen, jkm@eng.au.dk or Head of Department of Engineering Thomas Skjødeberg Toftegaard, tst@eng.au.dk

Application procedure 
Shortlisting is used. This means that after the deadline for applications and with the assistance from the assessment committee chairman, and the assessment committee if necessary, the head of department selects the candidates to be evaluated. The selection is made on the basis of an assessment of who of the candidates are most relevant considering the requirements of the advertisement. All applicants will be notified within 6 weeks whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants, including the main considerations emphasized during the selection process. 

Formalities and salary range 
Science and Technology refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation. 

The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here. 

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. (in Danish).

Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.

All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

Aarhus University offers Relocation service to International researchers. You can read more about it here.

All applications must be made online and received by: 31.01.2019 

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