Senior Lecturer in Mathematical Science (Lund University)

Institution: Lund University, Faculty of Science, Centre for Mathematical Sciences Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47,000 students and more than 8,800 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 gender equality and diversity as a strength and an asset. The Centre for Mathematical Sciences is a joint department at the Faculty of Science and Engineering (LTH) with approximately 150 employees. The department consists of five divisions: 'Mathematics N' at the Faculty of Science, 'Algebra, Analysis, and Dynamical Systems,' 'Applied Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical Statistics, which is cross-faculty. The position is located at the Division of Mathematical Statistics, where we currently have around 25 employees. Research is conducted in probability theory, stochastic processes, statistical theory, statistical signal processing, financial mathematics, computational statistics, and environmental statistics. Machine learning and AI are naturally integrated into several research areas. Research is often supported by organizations such as the Wallenberg Foundation, national strategic research areas, and the Swedish Research Council (VR). The department offers education leading to bachelor's, master's, and doctoral degrees in science, as well as teacher training at the Faculty of Science and bachelor's, civil engineering, master's, and doctoral degrees at the Faculty of Engineering. The subject has expanded significantly in recent years, partly due to the growing interest in machine learning and AI, with a very large number of students choosing to write their theses at the department every year. Job Description Duties primarily involve research and teaching within undergraduate and graduate education, including supervising thesis students and doctoral candidates. Teaching will amount to a maximum of 70% of full-time. Departmental administrative tasks may also be included. The content of duties and distribution between research, teaching, and administration may change over time. The Division of Mathematical Statistics aims to strengthen existing research groups and expand activities with new theoretical aspects within data science to meet the growing demand from students and external partners. There is also a strong need for method development, teaching, and thesis supervision in areas related to financial or actuarial mathematics. The employee is expected to actively seek external funding for research activities and to develop intra- and interdisciplinary collaboration with units within the university, other universities, public institutions, or industry. Currently, the department collaborates with several national strategic research areas, hospitals, and other departments at Lund University. Collegial leadership is important, and the department values the employee's willingness and ability to take on leadership roles in the future. Qualification Requirements PhD in Mathematical Statistics or equivalent. Demonstrated teaching expertise. At least five weeks’ training in teaching and learning in higher education (or equivalent knowledge), with training to be completed within two years if not already obtained. Ability to teach in English. Suitability for the position and general ability to fulfill work duties. Assessment Criteria Applicants are expected to present their current research and a research plan for the coming years, showing alignment with the department’s focus. Strong emphasis will be placed on: Being driven, creative, open, and collaborative. Communicative, independent, socially competent, and responsive to organizational needs. Requirements for the position: Strong expertise in areas defined in the job description, aligned with existing research groups while contributing new theoretical aspects in modern data science. Research related to financial or actuarial mathematics, including extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations. Experience in obtaining national and/or international research grants. Very good teaching skills at undergraduate, graduate, and doctoral levels. Experience supervising thesis students. Merits for the position: Interdisciplinary collaboration experience. Course development experience. Ability to link research to teaching. Experience supervising doctoral students. Documented leadership and administrative skills. Experience collaborating with society and communicating the importance of research. Employment Details Type: Permanent position Contract type: Full time Start date: No later than 1 August 2026 Number of positions: 1 Full-time equivalent: 100% City: Lund County: Skåne län Country: Sweden Reference number: PA2025/5 Contact Information Erik Lindström, Head of Department, +46462224578, erik.lindstrom@matstat.lu.se Helen Johansson, Recruitment Coordinator, +46462223609, helen.johansson@science.lu.se Union Representatives: OFR/ST: +46462229362, st@st.lu.se SACO: kansli@saco-s.lu.se SEKO: +46462229366, sekocivil@seko.lu.se Additional Information Lund University is a public authority, providing special benefits, generous annual leave, and an advantageous occupational pension. Applicants are advised to submit applications in English as they may be reviewed by international experts. Applications should be uploaded as PDF files according to the Faculty of Science’s instructions. If you apply for this position please say you saw it on Computeroxy

Institution: Lund University, Faculty of Science, Centre for Mathematical Sciences

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47,000 students and more than 8,800 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 gender equality and diversity as a strength and an asset.

The Centre for Mathematical Sciences is a joint department at the Faculty of Science and Engineering (LTH) with approximately 150 employees. The department consists of five divisions: 'Mathematics N' at the Faculty of Science, 'Algebra, Analysis, and Dynamical Systems,' 'Applied Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical Statistics, which is cross-faculty.

The position is located at the Division of Mathematical Statistics, where we currently have around 25 employees. Research is conducted in probability theory, stochastic processes, statistical theory, statistical signal processing, financial mathematics, computational statistics, and environmental statistics. Machine learning and AI are naturally integrated into several research areas. Research is often supported by organizations such as the Wallenberg Foundation, national strategic research areas, and the Swedish Research Council (VR).

The department offers education leading to bachelor's, master's, and doctoral degrees in science, as well as teacher training at the Faculty of Science and bachelor's, civil engineering, master's, and doctoral degrees at the Faculty of Engineering. The subject has expanded significantly in recent years, partly due to the growing interest in machine learning and AI, with a very large number of students choosing to write their theses at the department every year.

Job Description

Duties primarily involve research and teaching within undergraduate and graduate education, including supervising thesis students and doctoral candidates. Teaching will amount to a maximum of 70% of full-time. Departmental administrative tasks may also be included. The content of duties and distribution between research, teaching, and administration may change over time.

The Division of Mathematical Statistics aims to strengthen existing research groups and expand activities with new theoretical aspects within data science to meet the growing demand from students and external partners. There is also a strong need for method development, teaching, and thesis supervision in areas related to financial or actuarial mathematics.

The employee is expected to actively seek external funding for research activities and to develop intra- and interdisciplinary collaboration with units within the university, other universities, public institutions, or industry. Currently, the department collaborates with several national strategic research areas, hospitals, and other departments at Lund University.

Collegial leadership is important, and the department values the employee's willingness and ability to take on leadership roles in the future.

Qualification Requirements

PhD in Mathematical Statistics or equivalent.
Demonstrated teaching expertise.
At least five weeks’ training in teaching and learning in higher education (or equivalent knowledge), with training to be completed within two years if not already obtained.
Ability to teach in English.
Suitability for the position and general ability to fulfill work duties.

Assessment Criteria

Applicants are expected to present their current research and a research plan for the coming years, showing alignment with the department’s focus. Strong emphasis will be placed on:

Being driven, creative, open, and collaborative.
Communicative, independent, socially competent, and responsive to organizational needs.

Requirements for the position:

Strong expertise in areas defined in the job description, aligned with existing research groups while contributing new theoretical aspects in modern data science.
Research related to financial or actuarial mathematics, including extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations.
Experience in obtaining national and/or international research grants.
Very good teaching skills at undergraduate, graduate, and doctoral levels.
Experience supervising thesis students.

Merits for the position:

Interdisciplinary collaboration experience.
Course development experience.
Ability to link research to teaching.
Experience supervising doctoral students.
Documented leadership and administrative skills.
Experience collaborating with society and communicating the importance of research.

Employment Details

Type: Permanent position
Contract type: Full time
Start date: No later than 1 August 2026
Number of positions: 1
Full-time equivalent: 100%
City: Lund
County: Skåne län
Country: Sweden
Reference number: PA2025/5

Contact Information

Erik Lindström, Head of Department, +46462224578, erik.lindstrom@matstat.lu.se
Helen Johansson, Recruitment Coordinator, +46462223609, helen.johansson@science.lu.se

Union Representatives:

OFR/ST: +46462229362, st@st.lu.se
SACO: kansli@saco-s.lu.se
SEKO: +46462229366, sekocivil@seko.lu.se

Additional Information

Lund University is a public authority, providing special benefits, generous annual leave, and an advantageous occupational pension. Applicants are advised to submit applications in English as they may be reviewed by international experts. Applications should be uploaded as PDF files according to the Faculty of Science’s instructions.

If you apply for this position please say you saw it on Computeroxy

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