Home PhD Doctoral Student in Computational Physics, Lund University, Sweden

Doctoral Student in Computational Physics, Lund University, Sweden

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Summary

Lund University is offering a fully funded, 4-year PhD position within the Division of Mathematical Physics at the Department of Physics. The doctoral researcher will focus on the theoretical and computational modeling of ultra-cold atomic and molecular quantum gases and liquids. The role involves developing high-performance computing (HPC) software, implementing algorithms in C++/GPU computing, and collaborating with national and international research groups and experimental teams.

Doctoral Student in Computational Physics of Many-Particle Quantum Systems, Lund University, Sweden


Designation

  • Position Title: Doctoral Student (PhD Candidate)
  • Employment Type: Fixed-term full-time employment (4 years, extensible up to 20% for departmental duties/teaching)

Key Information Summary

DetailInformation
InstitutionLund University
Faculty / DepartmentFaculty of Engineering (LTH) / Department of Physics
DivisionMathematical Physics
Reference NumberPA2026/1984
Publication DateJuly 17, 2026
Application DeadlineAugust 20, 2026
LocationLund, Sweden
Duration4 Years (Full-time)

Research Area

  • Theoretical Many-Particle Quantum Physics
  • Computational Physics & High-Performance Computing (HPC)
  • Ultra-cold Atomic and Molecular Quantum Gases and Liquids
  • Multiconfigurational Time-Dependent Hartree (MCTDH) method for bosons and fermions
  • Quantum-optical systems with polar interactions and collective excitations

Location

  • City: Lund
  • County: Skåne län
  • Country: Sweden

Eligibility / Qualification

1. General Admission Requirements

  • A second-cycle qualification (Master’s degree), or
  • Completed courses comprising at least 240 ECTS credits (with at least 60 credits at the second-cycle level), or
  • Substantially equivalent qualifications earned in Sweden or abroad.

2. Specific Admission Requirements

  • An MSc or Master’s degree in Physics, Engineering Physics, or a closely associated field.
  • At least 30 second-cycle ECTS credits relevant to physics, including a second-cycle degree project of at least 15 ECTS credits.

3. Additional Requirements

  • Master’s-level coursework and thesis completed in theoretical physics.
  • Prior coursework/research experience in many-particle quantum mechanics.
  • Excellent knowledge and hands-on experience in HPC, with proven proficiency in C++ and GPU computing.
  • Fluency in English (spoken and written).
  • Strong independent problem-solving skills and ability to work effectively in a team.

4. Desirable / Preferred Qualifications

  • Prior experience with the MCTDH (Multi-Configurational Time-Dependent Hartree) approach for bosons and fermions.
  • Deep knowledge of modern many-particle quantum physics.

Job Description & Work Duties

  • Develop, implement, and optimize C++/GPU algorithms for multi-configuration time-dependent Hartree methods.
  • Conduct theoretical modeling and numerical simulations of ultra-cold polar molecules and quantum gases.
  • Collaborate with experimental teams and participate in research visits with national and international partners.
  • Maintain group HPC codes, ensure data safety/storage standards, and share software knowledge within the group.
  • Publish scientific findings in peer-reviewed journals and present at conferences.
  • Complete third-cycle PhD courses and seminars.
  • Optionally participate in departmental duties or undergraduate teaching (up to a maximum of 20% of full-time work).

How to Apply

Applications must be submitted in English via the Lund University Varbi Recruitment Portal.

Required Documents:

  1. Cover Letter: Explaining motivation, research interests, and suitability for the position.
  2. Curriculum Vitae (CV).
  3. Certificates & Transcripts: Copies of degree certificates and grade transcripts verifying entry requirements.
  4. Additional Documents: Recommendation letters, contact details for references, or relevant publications/code samples.

Note: Shortlisted candidates will participate in an interview and may be asked to demonstrate programming proficiency.


Last Date to Apply

  • Application Deadline: August 20, 2026

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