PhD felleowship in Large Language Models
KU – SCIENCE – DATALOGISK INSTITUT – UP1
Department of Computer Science
Faculty of SCIENCEUniversity of CopenhagenThe Information Retrieval Lab of the Department of Computer Science at the University of Copenhagen (DIKU) is offering a fully-funded PhD Fellowship, commencing 1 December 2024 or as soon as possible thereafter. The position is within Large Language Models.Our group and research – what do we offer?The PhD fellow will join the Information Retrieval Lab at the at . The Machine Learning section is among the leading research environments in Web & Information Retrieval in Europe ( ) 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.The fellow will conduct research, having as starting point one of the following topics:
For more information, please contact Professor Christina Lioma, c.lioma@di.ku.dk, or Assistant Professor Maria Maistro, mm@di.ku.dk.The University of Copenhagen
The 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 . Various academic rankings see the University of Copenhagen as , 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.Life in Copenhagen, Denmark
International surveys repeatedly rank , with high level of social and gender equality, community spirit, and a strong sense of common responsibility for social welfare. is the capital of Denmark, buzzing with culture, sustainable living, modern architecture, royal history, and a mouthwatering restaurant scene.Who are we looking for?We are looking for candidates with a MSc degree in a subject relevant for the research area. The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval and/or Recommender Systems and/or Natural Language Processing. Successful candidates should have a) fluency in spoken and written English, b) strong academic writing skills, and c) a preliminary research record as witnessed by a master thesis or publications in the area. As for any research position in this area, successful candidates are expected to have scientific curiosity, critical thinking skills, and strong programming skills.The PhD programme
Depending of your level of education, you can undertake the PhD programme as either:Option A: A three year full-time study within the framework of (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree.Option B: An up to five year full-time study programme within the framework of (the 3+5 scheme), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish bachelors´s degree.Option A: Getting into a position on the regular PhD programmeQualifications needed for the regular programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project. For information of eligibility of completed programmes, see and .Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.Option B: Getting into a position on the integrated MSc and PhD programmeQualifications needed for the integrated MSc and PhD programme
If you do not have an education equivalent to a relevant Danish master´s degree, you might be qualified for the integrated MSc and PhD programme, if you have an education equivalent to a relevant Danish bachelor´s degree. Here you can find out, if that is relevant for you: and .Terms of the integrated programme
To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in Computer Science.
(ONLY when you are attending the integrated MSc and PhD programme)
We are looking for the following qualifications:
Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.Please include:
Application deadline:The deadline for applications is 15 September 2024, 23:59 CESTWe reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.The further process
After the deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above-mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at .Questions
For specific information about the PhD fellowship, please contact the principal supervisor.General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: .
27568.13 per month
København
Tue, 23 Jul 2024 22:36:50 GMT
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