Postdoctoral fellowship in Applied Machine Learning and Information Retrieval is available at the Department of Computer Science, University of Copenhagen, Denmark.
Deadline to Apply
June 20, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Computer Science|
|Workplace||Department of Computer Science,|
University of Copenhagen, Denmark.
|Contract Period||2 Year|
|Starting date||Sept 01, 2021|
- PhD degree in a subject relevant for the research area.
- The successful candidate is expected to have a solid background in applied Machine Learning and/or Information Retrieval.
- The candidate should have a strong research record as witnessed by publications in top venues.
Responsibilities/ Job Description
- The postdoctoral fellow will conduct research on the use and development of photonic deep neural architectures for search engines.
- Supervision of bachelor and master theses and teaching are encouraged, but not required. Travel funding and computing resources are covered.
- The University of Copenhagen is currently expanding strongly in computer science. We expect to have tenure-track openings in the very near future, and welcome postdoctoral researchers interested in exploring such opportunities.
How to Apply?
The application, in English, should be submitted electronically by clicking APPLY ONLINE above.
- Curriculum vitae.
- Diploma and transcripts of records (PhD, MSc and BSc, or equivalent).
- List of publications, including links to the applicant’s pages at DBLP and Google Scholar.
- Brief research statement with description of research so far and future research goals and interests (maximum 1 page).
- Copies of the 3 selected research papers.
- Two signed reference letters
About Research project
The postdoctoral fellow will join the Machine Learning Section at DIKU. The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry. The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation.
Post expires at 8:59am on Monday June 21st, 2021 (GMT+9)