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Non-tenure track assistant professorship in optical neural networks

Københavns Universitet (KU)



Assistant Professor in Optical Neural Networks
Department of Computer Science
Faculty of Science

University of Copenhagen

The assistant professor position in the Machine Learning Section at the Department of Computer Science is fully funded by the European Innovation Council under the Pathfinder program project titled “Digital OpticaL cOmputing platfoRm for nEural networkS (DOLORES)”.

The assistant professor’s duties will primarily include research, including obligations with regard to publication/scientific communication and research-based teaching with associated examination obligations within computer science. To a limited extent this may also include performance of other duties.

Assessment of applicants will primarily consider their level of documented, internationally competitive research. The ability to attract external funding will be considered together with outreach qualifications. Teaching qualifications are not mandatory but documented teaching qualifications and teaching experience will be considered.

Six overall criteria apply for assistant professor appointments at the University of Copenhagen. The six criteria (research, teaching, societal impact, organisational contribution, external funding and leadership) are considered a framework for the overall assessment of candidates. Furthermore, each candidate must be assessed according to the specific requirements stated in the job advertisement. Please read more at https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger/dokumenter-til-meritering/5a_Criteria_for_recognising_merit_-Assistant_professors.pdf .

Further information on the Department can be found at https://di.ku.dk/english/.

Inquiries about the position can be made to Prof. Christina Lioma, [email protected].

The position is open from 1 January 2025 and the length of the employment is three years.

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

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include:

  • Curriculum vitae
  • Diplomas (Bachelor, Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans within optical neural networks
  • If available, description and documentation of teaching and supervision experience and qualifications - please describe and document:
    • Experience with supervision of BSc and MSc students
    • Teaching experience
    • Formal pedagogical training
  • Complete publication list
  • Separate reprints of 5 particularly relevant papers

The deadline for applications is 15 October 2024, 23:59 CEST.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.
Interviews will be held in November 2024.

Please refer to the following no. in future communication in this case: 211-0453/24-2A.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Info
Ansøgningsfrist: 15-10-2024

Ansættelsesdato: 01-01-2025

Arbejdstid: Fuldtid

Afdeling/Sted: Datalogisk Institut

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Københavns Universitet (KU)

Nørregade 10, 1165 København K

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