Department of Computer Science
Faculty of SCIENCE
University of Copenhagen

Department of Computer Science, Machine Learning Section invites applicants for the Ph D fellowships in the following projects.
The project
At least three open positions are being advertised in this call. Each position is detailed below
Candidates interested in this project are expected to have a strong background in ML and optimization. Knowledge of distributed algorithms and stochastic processes is a plus. Project will be supervised by Nirupam Gupta and Yevgeny Seldin. Contact person: Nirupam Gupta (nigu@di.ku.dk).
Important: When applying, write down Amartya Sanyal, Nirupam Gupta, or Raghavendra Selvan in the Principal Supervisor field to indicate which project you are applying to.
Our group and research- and what do we offer?
The Machine Learning Section is a part of the Department of Computer Science, Faculty of SCIENCE, University of Copenhagen, and the ELLIS Unit Copenhagen (https://ellis.eu/). The department is heading 2 centers within Artificial Intelligence: the SCIENCE AI Center and the Pioneer Center within Artificial Intelligence. The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. It is ranked as the best university in Scandinavia and as one of the top places in Europe.
The Department of Computer Science offers a friendly and thriving international research and working environment with opportunities to build up internationally competitive research groups. Copenhagen is one of the 10 most livable cities in the world with a rich culture within music, theater and associations. Life for families is made easy by a publicly supported daycare and health care system, dual career opportunities, maternity/parental leave and six weeks of paid annual vacation. International candidates may find information on living and working in Denmark here. Useful information is also available at The International Staff Mobility office (ISM) at the University of Copenhagen (link). ISM offers a variety of services to international researchers coming to and working at the University of Copenhagen.
The Ph D programme
Depending on your level of education, you can undertake the Ph D programme as either:
Option A: A three year full-time study within the framework of the regular Ph D programme (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 integrated MSc and Ph D programme (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 Ph D programme
Qualifications needed for the regular programme
To be eligible for the regular Ph D 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, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, and Statistics. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the regular programme
Employment as Ph D fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a Ph D student at the Ph D 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.
Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure.
Option B: Getting into a position on the integrated MSc and Ph D programme
Qualifications needed for the integrated MSc and Ph D 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 Ph D 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: General assessments for specific countries and Assessment database.
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.
Students on the integrated programme will enroll as Ph D students simultaneously with completing their enrollment in this MSc degree programme.
The duration of the integrated programme is up to five years, and depends on the amount of credits that you have passed on your MSc programme. For further information about the study programme, please see: www.science.ku.dk/phd, “Study Structures”.
Until the MSc degree is obtained, (when exactly two years of the full 3+5 programme remains), the grant will be paid partly in the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of 150 working hours per year.
A Ph D grant portion is currently (2024) DKK 6,820 before tax.

When you have obtained the MSc degree, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment and payment will be according 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.
Responsibilities and tasks in both Ph D programmes

• Complete and pass the MSc education in accordance with the curriculum of the MSc programme

(ONLY when you are attending the integrated MSc and Ph D programme)

• Carry through an independent research project under supervision

• Complete Ph D courses corresponding to approx. 30 ECTS / ½ FTE
• Participate in active research environments, including a stay at another research institution, preferably abroad
• Teaching and knowledge dissemination activities
• Write scientific papers aimed at high-impact journals
• Write and defend a Ph D thesis on the basis of your project

We are looking for the following qualifications:

• Professional qualifications relevant to the Ph D project
• Strong interest in the relevant topics
• Academic background (e.g. courses taken) in the relevant topics
• Good English language skills
• (Optional) Relevant publications
• (Optional) Relevant work experience

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 15th January, 2025 23:59 CET.
We 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 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 https://employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held in mid-to-end February 2025.
Questions
For specific information about the Ph D fellowship, please contact the relevant supervisors who emails are provided above.
General information about Ph D study at the Faculty of SCIENCE is available at the Ph D School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.

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