Login and apply This content is hosted by a third party. By showing the external content you accept the cookie terms and conditions of www.youtube.com Lunds universitet 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 School of Economics and Management 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 EQUIS, AMBA and AACSB. Only just over 100 business schools in the world have achieved this Triple Crown accreditation. Department of Statistics The Department of Statistics employs about 15 researchers, teachers, doctoral students, and other staff. We conduct research in several areas: analysis of high-dimensional data Bayesian methods spatial-temporal models non-Gaussian modeling applied research in social science stochastic models computational statistics We are looking for an up-and-coming researcher to take up a position as Assistant Professor in statistics with a focus on data science. What we offer the successful candidate You have the opportunity to start as an assistant professor (associate senior lecturer) as part of Lund University Programme for Global Excellence. We are looking for a promising, academically young researcher who can build and lead research in high-dimensional statistical methods for data-rich inference. As an Assistant Professor you will: develop your qualifications over 4 years be eligible for promotion to senior lecturer (tenure-track) receive 5 weeks of teaching training access Swedish language courses receive relocation and family support be eligible for nomination to Swedish Research Council funding More information: https://www.lunduniversity.lu.se/lund-university-programme-global-excellence Duties – what we expect from you You will divide your time between: 60% research 40% teaching Research duties: publish scientific papers attend conferences apply for research funding build research networks organize workshops supervise PhD students Teaching duties: teach courses in data science, including:develop new courses Bayesian methods Advanced Machine Learning Deep Learning and AI methods teach at undergraduate, graduate, and doctoral level supervise theses Qualifications for employment You must hold a PhD or equivalent in: statistics mathematical statistics biostatistics data science Preference is given to candidates who obtained their PhD within the last 5 years (with exceptions for parental leave, illness, etc.). Requirements – what you must have ability to conduct high-quality research good teaching ability recent international research experience (outside Sweden) research project plan (max 4 pages, high-dimensional statistics focus) documented leadership skills good communication skills excellent English (spoken and written) willingness to learn Swedish no Swedish salary/grant since 31 Dec 2022 Additional desirable qualifications positive contribution to work environment current international research position experience obtaining external research funding Form of employment Fixed-term position: 4 years (with possibility of promotion to senior lecturer) Promotion to senior lecturer To be promoted, candidates must demonstrate: Research development within field strong international standing at least 4 accepted publications in Norwegian List journals active participation in seminars and conferences at least 2 external grant applications Teaching strong teaching ability and development course development contributions at least 1700 teaching hours completed teaching training (5 weeks) Supervision co-supervision of PhD students supervision training course Outreach collaboration outside academia dissemination of research Leadership leadership in conferences/workshops/seminars administrative and committee work Application procedure Applications must be submitted electronically via Lund University’s recruitment system. Application must include: academic qualifications portfolio (3 PDF files) CV research description leadership/collaboration experience publication list dissertation and cited works up to 3 key publications research plan (4 pages max) confirmation of no Swedish funding since 2022 Templates: Instructions: https://www.lusem.lu.se/sites/lusem.lu.se/files/2024-02/instructions-to-applicants-for-emlpoyment-as-professor-and-senior-lecturer-at-LUSEM.pdf Portfolio template: https://lusem.prodwebb8.lu.se/sites/lusem.lu.se/files/2024-02/template-a-g-qualification-portfolio-lusem.docx About the institution The Department of Statistics has about 15 staff and conducts research in statistical theory and applications, including machine learning, Bayesian statistics, and high-dimensional inference. LUSEM is internationally accredited by EQUIS, AMBA, and AACSB (Triple Crown accreditation). We kindly decline all sales and marketing contacts. Key information Type of employment: Temporary position Contract type: Full time First day of employment: By agreement Salary: Monthly salary Number of positions: 1 Full-time equivalent: 100 City: Lund County: Skåne län Country: Sweden Reference number: PA2026/1059 Published: 07.Apr.2026 Last application date: 10.Jun.2026 Contact Krzysztof Podgórski +46 728 602 521 krzysztof.podgorski@stat.lu.se Union representatives OFR/ST: st@st.lu.se SACO: kansli@saco-s.lu.se SEKO: sekocivil@seko.lu.se If you apply for this position please say you saw it on Academicoxy

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Lunds universitet

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 School of Economics and Management

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 EQUIS, AMBA and AACSB. Only just over 100 business schools in the world have achieved this Triple Crown accreditation.

Department of Statistics

The Department of Statistics employs about 15 researchers, teachers, doctoral students, and other staff. We conduct research in several areas:

analysis of high-dimensional data
Bayesian methods
spatial-temporal models
non-Gaussian modeling
applied research in social science
stochastic models
computational statistics

We are looking for an up-and-coming researcher to take up a position as Assistant Professor in statistics with a focus on data science.

What we offer the successful candidate

You have the opportunity to start as an assistant professor (associate senior lecturer) as part of Lund University Programme for Global Excellence.

We are looking for a promising, academically young researcher who can build and lead research in high-dimensional statistical methods for data-rich inference.

As an Assistant Professor you will:

develop your qualifications over 4 years
be eligible for promotion to senior lecturer (tenure-track)
receive 5 weeks of teaching training
access Swedish language courses
receive relocation and family support
be eligible for nomination to Swedish Research Council funding

More information:
https://www.lunduniversity.lu.se/lund-university-programme-global-excellence

Duties – what we expect from you

You will divide your time between:

60% research
40% teaching

Research duties:

publish scientific papers
attend conferences
apply for research funding
build research networks
organize workshops
supervise PhD students

Teaching duties:

teach courses in data science, including:develop new courses
- Bayesian methods
- Advanced Machine Learning
- Deep Learning and AI methods
teach at undergraduate, graduate, and doctoral level
supervise theses

Qualifications for employment

You must hold a PhD or equivalent in:

statistics
mathematical statistics
biostatistics
data science

Preference is given to candidates who obtained their PhD within the last 5 years (with exceptions for parental leave, illness, etc.).

Requirements – what you must have

ability to conduct high-quality research
good teaching ability
recent international research experience (outside Sweden)
research project plan (max 4 pages, high-dimensional statistics focus)
documented leadership skills
good communication skills
excellent English (spoken and written)
willingness to learn Swedish
no Swedish salary/grant since 31 Dec 2022

Additional desirable qualifications

positive contribution to work environment
current international research position
experience obtaining external research funding

Form of employment

Fixed-term position: 4 years
(with possibility of promotion to senior lecturer)

Promotion to senior lecturer

To be promoted, candidates must demonstrate:

Research

development within field
strong international standing
at least 4 accepted publications in Norwegian List journals
active participation in seminars and conferences
at least 2 external grant applications

Teaching

strong teaching ability and development
course development contributions
at least 1700 teaching hours
completed teaching training (5 weeks)

Supervision

co-supervision of PhD students
supervision training course

Outreach

collaboration outside academia
dissemination of research

Leadership

leadership in conferences/workshops/seminars
administrative and committee work

Application procedure

Applications must be submitted electronically via Lund University’s recruitment system.

Application must include:

academic qualifications portfolio (3 PDF files)
CV
research description
leadership/collaboration experience
publication list
dissertation and cited works
up to 3 key publications
research plan (4 pages max)
confirmation of no Swedish funding since 2022

Templates:

About the institution

The Department of Statistics has about 15 staff and conducts research in statistical theory and applications, including machine learning, Bayesian statistics, and high-dimensional inference.

LUSEM is internationally accredited by EQUIS, AMBA, and AACSB (Triple Crown accreditation).

We kindly decline all sales and marketing contacts.