[Job] Associate professor in machine learning, Chalmers University of Technology/University of Gothenburg, Sweden

The Department of Computer Science and Engineering is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department has around 240 employees from over 30 countries. Our research has a wide span, from theoretical foundations to applied systems development. We provide high quality education at Bachelor’s, Master’s and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry and society.

Information about the research and the department
You will be a faculty member in  the Division of Computing Science. This division covers several major areas of computing science, including algorithms, machine learning, bioinformatics, and logic of programs. We have close contacts with neighbouring sciences, such as mathematics, biology, and linguistics.  More information http://www.chalmers.se/cse/EN/

Chalmers has strong relations with science parks in the region, which aim to “create increased innovation, international competitiveness and growth”. Some of the largest partners are Astra Zeneca, Ericsson, IBM, Volvo Cars, Volvo Technology and Saab, working on the advanced use of information, communication and networking technology. This environment gives a set of interesting options for interaction and collaboration. In Sweden university teachers own the intellectual property rights of their research results, the so called “teacher’s excpetion”.

Major responsibilities
The position of Associate Professor is a full-time faculty position. You will teach courses at the bachelor and masters level. You will also lead research activities and supervise PhD students and master students. You are expected to be an active researcher and to prepare applications for the funding of research projects, as well as to promote the continuation of ongoing projects.

Position summary
Full-time permanent position.

We are looking for applicants from all subfields of machine learning with a PhD in computer science (or an equivalent qualification). Applicants with some of the following qualifications are especially appreciated:

  • a strong research record;
  • a strong pedagogical track record;
  • potential to lead new research projects and teaching methods
  • core competence in machine learning;
  • a record of implementing scalable methods and systems;
  • a record of applications in some domain;
  • openness to  industry collaboration.

    The position of associate professor requires scientific expertise that is considerably higher than that required for a doctoral degree (corresponding to admission as docent) and at least 15 higher education credits in teaching and learning in higher education or corresponding expertise. You must be accustomed to teaching and be a skilled educator. For this reason, we place a great deal of emphasis on your pedagogical portfolio. Experience in conducting academic research and/or development in industry/the public sector is a requirement.

    Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20160368 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

  1. Application: (Please name the document in the e-recruitment system as: APPLICATION, Family name, reference number).
    − CV,
    − complete list of publications, (Divided into peer reviewed/non peer reviewed journal articles,conference contributions, etc).
    − Two references that we can contact.
  2. Personal letter/Qualifications: 2-3 pages where you introduce yourself present your qualifications and describe your future research plans.
    − Previous research fields and main research results.
    − Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?
  3. Publications:
    − Copies of your most relevant publications in full format (maximum of ten publications). It is a good idea to attach the files as a PDF or compress them into a Zip file.
    − Copies of a maximum of ten other publications that substantiate your other qualifications (for example, educational publications and popular science articles).
  4. Pedagogical qualifications:
    − Please use the specified format for the Pedagogical Portfolio when you compile your pedagogical qualifications.
    − Certificates of courses completed in pedagogy for higher education (15 ECTS points, 10 Swedish credit points in the previous credit system), or other equivalent courses, or proven equivalent pedagogical expertise.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 15 December 2016

For questions, please contact:

Please follow and like us:

Related posts

Leave a Comment