Kvantealgoritmeforsker Kbh. Ø - KU-SCIENCE

The Department of Computer Science invites applicants for a PhD fellowship in tensor network methods for many body physics.

Start date is (expected to be) September 1, 2026, or as soon as possible thereafter.

The project

The PhD project will broadly involve the development and analysis of tensor network algorithms for many body physics and engineering problems.

Who are we looking for?

We are looking for candidates within the field(s) of Computer Science, Physics or Mathematics. Varied backgrounds are encouraged to apply, but we expect some familiarity with topics relating to quantum technologies.

Our group and research- and what do we offer?

The research group around Prof. Kastoryano works on quantum algorithms and tensor network methods with applications in physics, machine learning, finance, and engineering. The group builds mathematically grounded tools that connect quantum information, numerical methods, and practical computational problems.

The group is a part of the department of Computer Science, faculty of Science, University of Copenhagen. We are located in Copenhagen.

We offer creative and stimulating working conditions in dynamic and international research environment.

1. Principal supervisor

   is

   Associate Professor Michael Kastoryano (

   mika@di.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 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

  (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 bachelor’s degree.

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. [relevant educations]. 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 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.

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.

Responsibilities

and tasks in both PhD 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 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 knowledge dissemination activities
• Write scientific papers aimed at high-impact journals
• 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 numerical methods in science and engineering
• Good 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. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
3. Original diplomas for Bachelor or Master and transcript of academic records (grades) 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.
4. Publication list (if possible)
5. Reference letters (if available)

Application deadline:

The deadline for applications is 7 May 2026, 23:59 GMT +2.

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 http://employment.ku.dk/faculty/recruitment-process/.

Interviews with selected candidates are expected to be held in week 23.

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: 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.

Denne stilling er publiceret af KU – SCIENCE – DATALOGISK INSTITUT – UP1 via jobnet.dk