Assistant Professor in Statistics with a Focus on Data Science

Assistant Professor in Statistics with a Focus on Data Science

Lund University

Lund, Sweden

We are looking for an up-and-coming researcher who wants to conduct pioneering research to take up a position as Assistant professor in statistics with a focus on data science.

Duties – what we expect from you

We want you to thrive at Lund University and be able to make the best of your time at the Lund University School of Economics and Management and the Department of Statistics. As an assistant professor, you will have the chance to engage whole-heartedly in the research you are passionate about. As the holder of this position, the majority of your time will be allocated for your own research in collaboration with strong research environments, research infrastructures and international platforms.

In addition to conducting research, during your time as Assistant Professor you will also develop your teaching expertise, outreach and collaboration skills, along with Swedish language proficiency. Throughout your employment, you are an active member of your department and participant in its diverse work.

We hope that one of your first duties will be to conduct an innovative research project that is funded by the Swedish Research Council.

At the Department of Statistics, you will mainly work on research (60%) and teaching (40%). You will produce scientific papers, actively participate in scientific conferences, write grant applications, build a research network, organise workshops and supervise PhD students. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning and AI methods. You are expected to teach these types of courses and to develop new courses in this field. Teaching can be at the undergraduate, graduate and doctoral levels. Supervision of undergraduate and master essays is also expected.

You will work closely with the Department of Statistics’ research groups with access to a network of faculty, researchers, and shared computational resources.

Qualifications for employment as an assistant professor

You hold a doctoral degree or have corresponding research expertise in statistics, mathematical statistics, biostatistics, or data science. We will primarily prioritise those applicants who have obtained a doctoral degree within the last five years from the closing date for applications for the position. If you have official documentation proving that there are special circumstances - such as parental leave, military service or illness, after graduating - that have prevented you from working as a researcher, the doctoral degree in the subject can in such cases have been awarded earlier. In this case, you must include this documentation with your application.

Requirements – what you must have

To be able to be appointed as an Assistant Professor within the framework of Lund University Programme for Global Excellence, the applicant must have:

• A good ability to initiate, develop and implement high-quality research;
• Good teaching ability;
• Recent and relevant experience from research in statistics, mathematical statistics, biostatistics, or data science outside Sweden;
• A project plan for an innovative project within research in high-dimensional statistical methodology, that you submit with your application. The project plan should focus on your planned research for the coming years and should be no longer than four pages, excluding references;
• Documented good leadership skills, e.g. through elected office assignments, leadership courses and assessed leadership skills;
• Good communication skills;
• Very good oral and written English language skills;
• A motivation and the ability to learn Swedish;
• Not received any renumeration or grant from Swedish employers or funding bodies from 31 December 2022 onwards.

Additional qualifications – other credentials that we consider desirable

We want you to thrive at Lund University and be able to make the best of your time at the Department of Statistics, for that reason we would like you to demonstrate that you can:

• Contribute in a positive way to the work environment;
• Currently hold an international position in the research field;
• Have experience of applying and obtaining research funding from funding bodies outside Sweden.