Associate Professor of Natural Language Processing and Machine Learning
DIKU is expanding its research and educational activities in Natural Language Processing and Machine Learning and hereby invites applications for one or more Assistant Professorships in Natural Language Processing and Machine Learning.
Preferred candidates will have a Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or equivalent. A strong academic background in Natural Language Processing and Machine Learning is necessary. This must be documented by publications in top tier venues or journals, such as ACL, EMNLP, NAACL, EACL, COLING, CoNLL, AAAI, NIPS, ICML, and ICLR.
Applicants should have a lively interest in top-tier research and well-developed collaborative skills, documented by, for example, publications with different groups of co-authors. Fluency in spoken and written English is necessary.
Applicants are required to have university level teaching experience, documented teaching competencies and must be able to explain and reflect upon own teaching practice and portfolio. Formal pedagogical training or supervision equivalent to the University of Copenhagen teacher training programme for assistant professors is required.
Duties include the applicant’s own research, development of the field, assessment tasks, grant applications, and research management such as supervision and training of research fellows and other staff. The successful applicant must also teach, supervise, prepare and participate in examinations, and fulfill other tasks requested by the Department.
Assessment of applicants will primarily consider their level of documented, original scientific production at an international level, including contributions to developments in their field, as well as their documented teaching qualifications. Managerial and out-reach qualifications of applicants including ability to attract external funding will also be considered.
Further information on the Department is linked athttp://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Head of Department, Professor Mads Nielsen email@example.com, Professor Anders Søgaard firstname.lastname@example.org or Professor Christian Igel email@example.com
The position is open from 1 February 2020 or as soon as possible thereafter.
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.
Commencing salary is currently up to DKK 473.749 including annual supplement (+ pension up to DKK 81.011)
Negotiation for salary supplement is possible.
The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
- Curriculum vitae including information about external funding
- Diplomas (Master and PhD degree or equivalent)
- Research plan – description of current and future research plans
- Description and documentation of teaching experience and qualifications according to university guidelines
- Complete publication list
- Separate reprints of 5 particularly relevant papers
The deadline for applications is Sunday 1 September 2019, 23:59 GMT +2.
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 athttp://employment.ku.dk/faculty/recruitment-process/.
Interviews/trial lectures will be held on 18 December 2019.
Please refer to the following no. in future communication in this case: 211-0127/19-2E
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.