Assistant Professors in Demography at CPop
They are opening one or more positions as assistant professor in demography at the Danish Centre for Population Research of The Interdisciplinary Centre on Population Dynamics (CPop) at the University of Southern Denmark, Campus Odense. The position is expected to start on July 1 or soon thereafter and is a fixed-term position of up to 4 years.
The Centre is part of the Faculty of Business and Social Sciences and collaborates with researchers in economics and political science, as well as researchers in other fields including evolutionary ecology, conservation biology, mathematics and data analysis in the Faculty of Sciences, epidemiology, biostatistics, biodemography and health economics in the Faculty of Health Sciences, and literature and media science in the Faculty of Humanities.
One of the prime directions of the Centre’s research is ageing in modern societies and its diverse implications. They study patterns of changing mortality and morbidity, mostly in human populations but also in non-human species. They maintain a strong and unique profile in analytical demography and are expanding to also include more application-oriented research like pension schemes or covid-19 demography.
The Centre is one of the leading teams in the world for demographic modelling and forecasting. The new assistant professors are expected to contribute to this research and help them become even stronger. Much of their research is financed by large external grants; their new colleagues are expected to work on these trailblazing projects as well as developing their own projects.
The Centre currently has little teaching obligations but they plan to establish a teaching program in demography and the assistant professors are expected to help plan this and later to teach here.
You – the applicant
You are a quantitatively minded researcher working with population data, and holding a Ph.D. in demography, economics, actuarial science, public health, epidemiology, statistics, or a related field.
You are interested in applying your mathematical and statistical modelling skills to problems in mortality and morbidity research and demographic forecasting.
Fluency in programming (e.g. R/python) to conduct research is desirable. You would like to work with some of the best population registry data in the world.
You thrive in interdisciplinary collaborations, and you can coordinate joint work in such groups.
A panel will assess the qualification of the candidate for the described post based on the submitted material, which should include (as .pdf or .docx files):
- a motivation letter
- a detailed CV
- degree certificates (inclusive of Ph.D.-diploma)
- a complete and numbered list of publications
- three scientific peer-reviewed publications considered by the applicant to be the most important for this position. Please note that one .pdf file must be attached for each publication.
- a teaching portfolio detailing the candidate’s prior teaching experience, teaching skills, and teaching philosophy
- a research plan detailing the candidate’s ideas and plans for her/his future research work.
The committee may request additional information, and if so, it is the responsibility of the applicant to provide the necessary material.
All non-Danish documents must be translated into English. Only applications written in English will be accepted for evaluation.
Applications that are incomplete regarding the above requirements will not be assessed by the committee.
Shortlisting and tests may be used in the assessment process.
When the assessment committee has submitted its report, the applicant will receive the part of the evaluation that concerns him/her. The assessment report will subsequently be forwarded to the Head of Department who will assemble an appointment committee. The appointment committee will manage and complete the job interviews, should such be conducted.
The University wishes its staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.