Lecturer in Statistics, fixed-term - Hiring in process/Finished, not possible to apply

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 modelling, applied research in social science, as well as stochastic models and computational statistics. More information can be found on the department’s website: https://stat.lu.se/en/research.

Lund University announces a fixed-term position as lecturer in statistics. The position is full time, with placement at the Department of Statistics, School of Economics and Management.

Subject description

The Department of Statistics at Lund University is looking for a lecturer with in-depth knowledge of modern machine learning and the ability to coordinate and supervise master's theses in machine and deep learning, as well as to develop and teach the department's course in the textual data analysis, which includes involving graphical and deep clustering methods (deep learning methods). We search for a person with active research in high-dimensional statistics with a focus on analysis of functional data. In connection with the course in textual data analysis, the department runs a research project in dimension reduction based on the analysis of functional data. Applicants are expected to have knowledge in these areas to be able to actively participate in this project.

Work duties

The work duties of a lecturer are focusing primarily on developing and teaching the course in analysis of text data. A smaller part of the working time will be devoted to research. The research is expected to be conducted within the analysis of functional data with a focus on the application of machine learning techniques for image analysis and textual data. In addition to this, some administrative duties and professional development may be included.

The applicant is expected to cooperate with other researchers at the department, interact with students, and actively participate in other activities of the department.

Qualifications

It is a requirement for the employment with

• doctoral degree in mathematical science,
• pedagogical skills
• completed five weeks of training in higher education teaching and learning, or acquired equivalent knowledge by other means, unless there are valid reasons.
• active research in high-dimensional statistics with a focus on analysis of functional data,
• experience in teaching probability theory and statistics, programming and linear statistical models
• documented very good programming skills in Python and R,
• very good knowledge of spoken and written English.

It is meritorious for the employment to have

• published work in high-dimensional statistics with a focus on analysis of functional data in relevant journals,
• experience of research collaborations within industry,
• experience with machine learning methods in industry,
• experience of teaching in a computer room, especially in statistics, finance and national economics,
• experience of teaching in English.

Terms of Employment

This is a full-time, fixed-term employment for one year with start date 2023-01-16 or in accordance to agreement.

Instructions on how to apply

Applications are to be written in English and compiled as a PDF-file containing

• résumé/CV, including a list of publications,
• a general description of past research and future research interests (no more than three pages),
• contact information of at least one reference, and
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.