211-0935/21-2H - PhD fellowships in Computer Vision

PhD fellowships in Computer Vision

The Image Section
Faculty of SCIENCE

University of Copenhagen

 

The Image Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen is offering multiple PhD positions in Computer Vision with a flexible start date of 1  September 2022 or as soon as possible thereafter. Topics for the available positions include ​​fine-grained analysis of multimodal data, self-supervised learning, 2D/3D generative models, augmented reality, and preventing the spread of misinformation. The applicant should propose a research project within one of those areas. The application deadline is January 16, 2022.

The Image Section provides a strong, international, and diverse environment for research within core as well as emerging topics in computer vision and its intersection with machine learning, natural language processing, and multimodal signal processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about research at the Computer Science Department is available here: https://di.ku.dk/english/research.

The successful candidates will join Serge Belongie’s research group (@BelongieLab). The PhD positions are offered in the context of the new Pioneer Center for AI, led by Prof. Belongie. The centre, which comprises researchers from five Danish universities (University of Copenhagen, Danish Technical University, IT University, Aalborg University and Aarhus University), will conduct world-class research on core problems in artificial intelligence with an eye toward addressing societal challenges. More information about the Centre can also be found at: https://di.ku.dk/ai-centre.

Copenhagen is a vibrant, international city with excellent public transportation, art, and leisure infrastructure, as well as a thriving tech and start-up community. Ph.D. students and their families have access to full health care coverage, as well as considerable social benefits and paid vacation for 6 weeks per year. You can read more about moving to Copenhagen here: https://ism.ku.dk/.

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 the regular PhD programme (5+3 scheme), if you already have an education that is 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 PhD programme, if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education that is equivalent to a Danish bachelors´s degree.

Read more about the PhD programme at the Department of Computer Science, including general conditions and salary information for the 2 options.


Option A: Getting into a position on the regular PhD programme

Qualifications 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, e.g. Computer Science. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database. If you have difficulties navigating these sites, please contact mcl@di.ku.dk for help.

Terms of employment in the regular programme (option A)
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 programme

Qualifications 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: General assessments for specific countries and Assessment database.  If you have difficulties navigating these sites, please contact mcl@di.ku.dk for help.

Terms of the integrated programme (option B)
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 PhD students simultaneously with completing their MSc degree programme.

The duration of the integrated programme is up to five years, and depends on the amount of credits that you have already passed on a 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 PhD grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of at least 150 working hours per year. A PhD grant portion is DKK 6,243 per month.

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 PhD programmes

  • Complete and pass the MSc education in accordance with the curriculum of the MSc programme (if you are attending the integrated MSc and PhD programme)
  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and dissemination activities
  • Write scientific papers aimed at high-impact journals and conferences
  • Write and defend a PhD thesis on the basis of your project

We are looking for the following qualifications:

  • Professional qualifications relevant to the PhD project
  • Relevant publications
  • Relevant work experience
  • Other relevant professional activities
  • Curious mind-set with a strong interest in computer vision and machine learning
  • Good English language skills

Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include

  1. Motivated letter of application (max. one page)
  2. Research interests outlined in a project proposal
  3. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
  4. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  5. Publication list (if possible)
  6. Information about references, who might be contacted later in the recruitment process after retrieving an explicit consent from the applicant

Application deadline
The deadline for applications is January 16, 2022, 23:59 GMT +1.

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 March 2022.

Questions
Informal inquiries about the positions can be made to the supervisor, Prof. Serge Belongie-mail: s.belongie@di.ku.dk. Questions about the Centre, moving to Denmark, or the Ph.D. programmes generally, should be directed to Michelle Løkkegaard, COO at the Pioneer Centre for AI, mcl@di.ku.dk.General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/. Informal inquiries about the positions can be made to Prof. Serge Belongie, e-mail: s.belongie@di.ku.dk. Further questions about the Centre, moving to Denmark, or the Ph.D. programmes generally should be directed to Michelle Løkkegaard, COO at the Pioneer Centre for AI, mcl@di.ku.dk.

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.

APPLY NOW

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.

Info

Application deadline: 16-01-2022
Employment start: 01-09-2022
Department/Location: Department of Computer Science