Project Assistant at the Department of Statistics

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and experiences. We regard equality, equal opportunities and diversity as a strength and an asset.

Lund University School of Economics and Management is one of eight faculties within Lund University. More than 4 000 students and 450 researchers, teachers and other staff are engaged here in training and research in economic history, business administration, business law, informatics, economics, statistics and research policy.

Lund University School of Economics and Management is accredited by the three largest and most influential accreditation institutes for business schools: EQUIS, AMBA and AACSB. Only just over 100 business schools in the world have achieved this prestigious Triple Crown accreditation.

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.

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Anställningsform: särskild visstidsanställning | Anställningens omfattning: deltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 50 | Ort: Lund | Län: Skåne län | Land: Sweden | Referensnummer: PA2026/3112 | Kontakt: Farrukh Javed , Farrukh Javed , | Facklig företrädare: SACO:Saco-s-rådet vid Lunds universitet 046-2220000, SACO:Saco-s-rådet vid Lunds universitet 046-2220000, OFR/ST:Fackförbundet ST:s kansli 046-2229362, OFR/ST:Fackförbundet ST:s kansli 046-2229362, SEKO: Seko Civil 046-2229366, SEKO: Seko Civil 046-2229366, | Publicerat: 2026-10-27 | Sista ansökningsdag: 2026-11-15