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Department of Engineering - Electrical and Computer Engineering, Edison - Faculty: Technical Sciences

Professor in Machine Learning and Computational Intelligence

Deadline 1 Feb

Expected start 1 Jun

  • Department of Engineering - Electrical and Computer Engineering, Edison Finlandsgade 22 8200 Aarhus N

  • Full-time position ID: 4723

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Aarhus University (AU) invites applications for a position as (full) professor to our research in machine learning and computational intelligence anchored in Electrical and Computer Engineering (ECE). The responsibility of the professor is to advance statistical machine learning, deep learning, signal processing, and computer vision among others. The professor must provide scientific leadership to fundamental research in these areas as well as contributing to technology transfer and creating a strong scientific foundation for industrial collaboration.

The university has made an ambitious strategic investment in a 2025-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. As of 1 January 2021, ECE will become a department within the Faculty of Technical Sciences to further reinforce the growth strategy.

Candidates must have a PhD in electrical engineering or a closely related field. In the assessment of candidates, strong emphasis and consideration will be given to:
  • Excellence in research demonstrated by publications in relevant scientific journals and conferences;
  • Research impact, e.g., in terms of citations, patent applications, commercialization and collaboration with industrial partners;
  • Experience and successful in attracting funding for research projects with national and international research agencies and industry as well as demonstrated experience in research leadership;
  • Experience from collaboration with relevant industry partners;
  • Research network and established research collaboration with relevant academic and industrial partners;
  • Experience and quality of teaching and supervision, as well as experience in development of research-based educations;
  • Experience in MSc, PhD and post-doctoral training; and
  • Excellent communication skills.
For the position, it is crucial that candidates hold a deep understanding of real-world systems and applications/problems within computer vision, signal processing, financial engineering, ecological data analysis or other application fields. It is further a key for success that the candidate can lead the activities in our department in these application/problem domains.

The candidate is expected to be able to drive the build-up of internationally competitive research activities, to contribute to strengthening current research activities, and expanding industrial collaboration. The professor will act as head of a research group, participate in knowledge exchange with society and industry, raise external funding and participate in supervision of PhD students and post-doctoral training, be responsible for the educational guidance of assistant professors, and grow the research group/team and research lab. Furthermore, the professor will be active contributor to the development of the ECE organization.

The professor is expected to participate in teaching at both undergraduate and graduate levels in both electrical and computer engineering study programs, and to engage in the continued development of both existing and new courses. Undergraduate courses are primarily taught in Danish, whereas other courses are taught in English. The candidate must have excellent written and verbal communication skills.

Application
Your application must be in English and include a CV that describes 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 2-5 pages including your planned 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.

The position is available from 1st of June 2021 or as soon as possible thereafter. 

Place of employment and place of work
Place of employment is Aarhus University, and place of work is Faculty of Technical Sciences, Finlandsgade 22, 8200 Aarhus.

Further information
For more information, please contact Head of Electrical and Computer Engineering Section, Rune Hylsberg Jacobsen (rhj@eng.au.dk  / +45 4189 3252) or Head of Department of Engineering, Lars Ditlev Mørck Ottosen (ldmo@eng.au.dk / +45 51371671).

Deadline: 1st of February 2021.

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.

Letter of reference
If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in ques-tion before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline.
Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration.

Formalities and salary range Formalities and salary range
Technical Sciences 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.

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 a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here. Please find more information about entering and working in Denmark here.

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.

A process has been initiated in terms of reorganizing of engineering at Aarhus University. Read more here: https://eng.au.dk/en/news-and-events/news/show/artikel/new-organisation-to-strengthen-engineering-at-aarhus-university-1/
 

Questions about the position?

Rune Hylsberg Jacobsen

Rune Hylsberg Jacobsen Associate professor, Department of Engineering - Networks and Analytics +4541893252 rhj@eng.au.dk

Questions about application and proces?

Nat-Tech Administrative Centre - Nat-Tech HR +4593521962 Nat-Tech.HR.Emply@au.dk

Apply

Deadline: Monday 1 Feb 2021 at 23:59 CET