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The Machine Learning section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering a 2-year fully-funded postdoctoral position in applied Machine Learning and Information Retrieval, commencing 1 May
2022 or as soon as possible thereafter.
<div class="">The <b class="">deadline</b> for applications is <b class="">February 9</b>, 2022, 23:59 GMT +1. <br class="">
<br class="">
<b class="">Description of the scientific environment</b><br class="">
The postdoctoral fellow will join the <a href="https://twitter.com/MLSectionUCPH" class="">Machine Learning Section</a> at <a href="https://di.ku.dk/english/research/machine-learning/" class="">DIKU</a>. The Machine Learning section is among the leading research
environments in Artificial Intelligence and Web & Information Retrieval in Europe (<a href="http://csrankings.org/#/fromyear/2020/toyear/2021/index?ai&ir&europe" class="">in the top 5 for 2020, according to csrankings.org</a>), 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. DIKU is the one of the oldest Computer Science departments in Europe, founded by Turing Award
Winner Peter Naur. <br class="">
<br class="">
The postdoctoral fellow will conduct research on the use and development of photonic deep neural architectures for search engines.<br class="">
<br class="">
Inquiries about the position can be made to Christina Lioma at <a href="mailto:c.lioma@di.ku.dk" class="">c.lioma@di.ku.dk</a>.</div>
<div class=""><br class="">
<b class="">Job description</b><br class="">
Supervision of bachelor and master theses and teaching are encouraged, but not required. Travel funding and computing resources are covered.<br class="">
<br class="">
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.<br class="">
<br class="">
<b class="">Formal requirements</b><br class="">
Postdoctoral applicants should have or be about to receive a 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.<br class="">
<br class="">
<b class="">The University of Copenhagen</b><br class="">
The <a href="https://www.ku.dk/english/" class="">University of Copenhagen</a> was founded in 1479 and is the oldest and largest institution of research and education in Denmark. It is a member of the International Alliance of Research Universities, alongside
the Universities of Cambridge, Oxford and Yale, and has produced <a href="https://research.ku.dk/excellence/nobel-laureates/" class="">9 Nobel prize winners</a>. Various academic rankings see the University of Copenhagen as <a href="https://about.ku.dk/facts-figures/rankings/" class="">one
of the top leading institutions in Europe and the world</a>, and its study programs meet the most stringent international standards for higher education based on Standards and Guidelines for Quality Assurances in the European Higher Education Area and the
Danish Accreditation Institution guidelines. <br class="">
<br class="">
<b class="">Life in Copenhagen, Denmark</b><br class="">
International surveys repeatedly rank <a href="https://denmark.dk/people-and-culture/happiness" class="">Denmark among the world’s happiest countries</a>, with high level of social and gender equality, community spirit, and a strong sense of common responsibility for
social welfare. <a href="https://www.visitcopenhagen.com/" class="">Copenhagen</a> is the capital of Denmark, buzzing with culture, sustainable living, modern architecture, royal history, and a mouthwatering restaurant scene.<br class="">
<br class="">
<b class="">Terms of employment</b><br class="">
The position is covered by the Memorandum on Job Structure for Academic Staff.<br class="">
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. <br class="">
<br class="">
Negotiation for salary supplement is possible.<br class="">
<br class="">
<b class="">Application Procedure</b><br class="">
The application, in English, should be submitted electronically by clicking APPLY NOW below.<br class="">
<br class="">
Please include<br class="">
• Curriculum vitae.<br class="">
• Diploma and transcripts of records (PhD, MSc and BSc, or equivalent).<br class="">
• List of publications, including links to the applicant’s pages at DBLP and Google Scholar.<br class="">
• Brief research statement with description of research so far and future research goals and interests (maximum 1 page).<br class="">
• Copies of the 3 selected research papers.<br class="">
• Reference letters (if available)<br class="">
<br class="">
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.<br class="">
The deadline for applications is February 9, 2022, 23:59 GMT +1. <br class="">
<br class="">
<b class="">Questions</b><br class="">
Inquiries about the positions can be made to Christina Lioma at <a href="mailto:c.lioma@di.ku.dk" class="">c.lioma@di.ku.dk</a>.</div>
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You can read about the recruitment process at <a href="https://employment.ku.dk/faculty/recruitment-process/" class="">https://employment.ku.dk/faculty/recruitment-process/</a>.
<div class=""><br class="">
<br class="">
<div class="">
<div>———<br class="">
<br class="">
Maria Maistro, PhD<br class="">
Tenure-track Assistant Professor<br class="">
Department of Computer Science<br class="">
University of Copenhagen<br class="">
Universitetsparken 5, 2100 Copenhagen, Denmark</div>
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