Faculty Positions at the rank of Associate and Assistant Professor in machine learning and data science
University of Southern Denmark, Faculty of Engineering

Faculty Positions at the rank of Associate and Assistant Professor in machine learning and data science


The Group of Machine Learning and Data Science (part of Embodied Systems for Robotics and Learning) at the Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark, invites applications for Faculty positions at the rank of Associate (permanent) and Assistant (3-year period) Professor. The positions are available starting January 1, 2020, or as soon as possible thereafter.

Within the general field of Electrical and Computer Engineering (ECE), Applied Mathematics and Physics, we seek applications from candidates with expertise in one or more of the following strategic research areas:

  1. Biomedical Engineering 

  2. Machine Learning and Artificial Intelligence

  3. Bio-Statistics

  4. Computational Biomedicine

Applicants are expected to have a PhD in ECE, Applied Mathematics or Physics, or a related field, at the time of the appointment. 

Successful candidates will be expected to initiate and lead an outstanding, independent and externally funded research program of international caliber, and to teach at both undergraduate and graduate levels. Candidates should have demonstrated excellence in research, evidenced primarily by publications in leading journals or conferences in the field, and secured external funding. Excellence will be evaluated commensurately with the level of the position applied for (assistant or associate professor).

Candidates are also expected to lead research projects with industry, such as private sector active in the fields of Robotics and Renewable Energy, and various departments at Odense University Hospital (OUH).    

Candidates are expected to submit only the 3 most important publications and specify for which position level, Assistant or Associate Prof, they apply for.   

Contact information
If you have any questions about this position, please contact Prof. Esmaeil S. Nadimi at email: esi@mmmi.sdu.dk. 

For information about the Maersk Mc-Kinney Moller Institute, which encompasses Embodied Systems for Robotics and Learning, please see www.sdu.dk/en/mmmi. For information about the section Embodied Systems for Robotics and Learning, please see https://www.sdu.dk/en/esrl.

Requirements for the position
Employment as an associate and assistant professor requires scientific qualifications at PhD level.

Applications will be assessed by an assessment committee. The committee may request additional information, and if so, it is the responsibility of the applicant to provide the necessary material. Applicants will be informed of their assessment by the Faculty.
Shortlisting may be used. Shortlisted applicants will be assessed by an expert panel.
As part of the overall assessment of the applicant’s qualifications, the applicant may be called for interview.

Conditions of employment
The successful applicant(s) will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations.

Employment as an Associate Professor is a permanent position.

Employment as Assistant Professor is a 3-year temporary position. The employment will cease without further notice at the end of the period.

Your application must be uploaded through the link “Apply Online”. The faculty expects applicant have read the guidelines for applicants.

Attached files must be in Adobe PDF format. All pdf-files must be unlocked and allow binding and may not be password protected. In case you have more than one file per field you need to combine the pdf-files into a single file, as each field handles only one file. Each box can only contain a single file of max. 10 Mb.

The application must be in English.

The application must include - remember to indicate clearly which position you apply for:

  • Motivated application 

  • Detailed Curriculum Vitae

  • Certificates/Diplomas (MSc and PhD) - Danish or English translation

  • Information on previous teaching experience, please attach as Teaching portfolio

  • List of publications indicating the publications attached

  • A maximum of 3 examples of the most relevant publications. Please attach one pdf-file for each publication, a possible co-author statement must be a part of this pdf-file

  • Other relevant qualifications

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Further information for international applicants about entering and working in Denmark.

Further information about The Faculty of Engineering.

If you apply for this position please say you saw it on Computeroxy


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