Project Assistant at the Department of Statistics

Lund University Lund, Sweden

About the position

The Department of Statistics was established in 1929 and is the oldest department at LUSEM. The department has approximately 20 researchers, teachers, doctoral students, and administrative staff, as well as around ten student teaching assistants. Our research covers several areas of statistics, including high-dimensional data analysis, Bayesian methods, spatio-temporal models, and non-Gaussian modelling. We also provide education in statistics at all levels, with more than 900 students taking courses at the department each year. Further information is available on the department’s website: ⁠
www.stat.lu.se
.
Lund University invites applications for a position as Project Assistant at the Department of Statistics, Lund University School of Economics and Management. This is a part-time position involving development work within a project at the department.
We are looking for a candidate with an interest in statistics, programming, and development work who would like to collaborate closely with researchers and teachers at the department. The position involves both independent tasks and regular collaboration with the project supervisor.
Starting date:
15 January 2027
Job Responsibilities
As a Project Assistant, you will primarily contribute to development work within a project at the Department of Statistics. Your responsibilities will include programming, developing and testing technical solutions, processing materials and data, and documenting the work.
The role also involves evaluating and improving existing solutions and, when necessary, assisting with other project-related tasks. Responsibilities may evolve during the project and be adapted according to its needs and the successful candidate’s competencies. The work will be carried out in close collaboration with the project supervisor.
Qualifications
Requirements
To be eligible for the position, you must:

  • Have a relevant educational background in statistics, data analytics, computer science, or a related field.
  • Have good programming skills.
  • Demonstrate a strong ability to develop, test, and improve technical solutions.
  • Be able to independently learn and work with new technical tools and tasks.
  • Have good documentation and communication skills.
  • Be responsible, detail-oriented, and able to work effectively with others.
  • Very good ability to communicate in English, both verbally and in writing.

Additional Qualifications
The following qualifications are considered advantageous:

  • Good knowledge of Python.
  • Experience with programming or software development projects.
  • Experience with data analysis and statistical methods.
  • Experience in developing, testing, or improving existing technical solutions.
  • Experience with version control systems, such as Git.

In the selection process, particular emphasis will be placed on the applicant’s relevant technical skills, ability to work independently and systematically, and capacity to collaborate and adapt to new tasks.
Terms of Employment
This is a fixed-term, part-time position for six months at 50% of full-time employment, based at the Department of Statistics, Lund University School of Economics and Management.
Application
The application must include:

  • A cover letter explaining your interest in the position and how your qualifications and experience are relevant to the responsibilities.
  • A CV outlining your educational background, technical skills, and previous experience.

Applicants are also welcome to briefly describe previous programming, data analysis, or development projects relevant to the position.
Application deadline:
15 November 2026
Applications must be submitted online by clicking the “Apply” button in the job advertisement. For further information, please refer to Lund University’s guidelines on ⁠applying for a position.

This listing was collected from a public source and is reproduced here for information only. Always confirm the details on the original posting before applying.
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