Lund University, Lund University School of Economics and Management, Department of Statistics

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.

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 employs about 20 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, 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 (substitute) as Senior Lecturer in statistics. The position is full-time, with placement at the Department of Statistics, School of Economics and Management.

Job assignment

The position involves both teaching (70%) and research/competence development/administration combined (30%).

The department needs teaching and supervision in several areas and at different levels. The exact distribution of teaching in this position will therefore depend on the profile and interests of the new employee.

The department strives for its teachers to teach at different levels. In addition, we have need for supervision of bachelor and master theses in the field of modern data science that include both machine learning methods and classical statistical methodology.

The Department has ambition to further strengthen its research in the areas that are strategically vital for the research growth of the Department. Thus, it is also expected that the candidate will actively engage in research activities and deliver research outcome accordingly.

Competence

Those qualified for appointment as a senior lecturer are a person who has demonstrated teaching expertise and been awarded a PhD or has the corresponding research competence or some other professional expertise that is of value in view of the subject matter of the post and the duties that it will involve

(Higher Education Ordinance, Chapter 4, Section 4). The applicant is expected to conduct or assist with her/his competence development of the departmental research in data science.

Assessment criteria and qualifications

The School of Economics strives for a balance between research and education in all employments. In the assessment of the applicants, equal importance will therefore be given to scientific and pedagogical skills.

For appointments to senior lecturer - substitute, the following shall form the assessment criteria:

  • good standing as a researcher in the field of statistics, the profile toward advanced methods of machine learning, deep learning, is much sought,
  • good teaching ability, including a good ability to conduct, develop and lead educational activities on different levels and using a variety of teaching methods.

(Lund University Appointment Rules 4.3.4)

In the context of the announced vacancy position at the Department of Statistics, at the Senior Lecturer level:

  • teaching capacities in the field of statistics and data science are necessary, ability to teach advanced machine learning methods is highly desirable.
  • research profiles in the areas that are strategically important for the Department, such high dimensional data analysis, machine learning, spatial-temporal stochastic models are highly desirable.
  • the successful candidate must have proven competence and experience in statistics and data science.
  • teaching experience is required [JB1]for this employment. In the assessment of pedagogical skills, both teaching experience and pedagogical qualifications will be considered,
  • in the overall assessment of scientific proficiency, special emphasis will be placed on publications and potential of delivering them during the employment,
  • personal qualities that are in demand are openness, creativity, perseverance, and initiative. The person must also be able to collaborate with others inside and outside the academy.
  • Ability to teach in English is required. Ability to teach in Swedish is a merit.

Terms of employment

Fixed-term full-time position (substitute) during one year. The position might be extended another half a year. Employment as a senior lecturer is regulated in the Higher Education Ordinance, Chapter 4, and in Lund University’s Appointment Rules.

Application procedure

You apply for the position online by clicking on the ”login and apply” button in the vacancy notice. For more information, please, visit our homepages

https://www.lunduniversity.lu.se/about-lund-university/work-lund-university

and

https://www.lunduniversity.lu.se/about-lund-university/work-lund-university/applying-position

The application should be written in English.

The School of Economics and Management uses a special academic qualifications portfolio system to document and present merits. Please, create your application according to below described disposition and attach it as three separate PDF-files (in the recruitment system). For further information on how to apply, please see “Instructions to applicants for employment as professor or senior lecturer at Lund University School of Economics and Management” at the homepage

https://www.lusem.lu.se/about/work-at-lusem/apply-for-an-academic-position.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts.

Type of employment Temporary position
Contract type Full time
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2024/3710
Contact
  • Krzysztof Podgorski, Head of department, 046-728602521, krzysztof.podgorski@stat.lu.se
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362, st@st.lu.se
  • SACO:Saco-s-rådet vid Lunds universitet, kansli@saco-s.lu.se, kansli@saco-s.lu.se
  • SEKO: Seko Civil, 046-2229366, sekocivil@seko.lu.se
Published 28.Nov.2024
Last application date 27.Dec.2024 11:59 PM CET
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