BEMÆRK: Ansøgningsfristen er overskredet
The Department of Economics at the University of Southern Denmark in Odense, Denmark, invites applications for a three-year full-time Postdoc position as part of the project “Beyond the Paycheck: Insights into the effect of Unemployment, Organisational Change, and Job Security on Mental Health.” The program is funded by the Carlsberg Foundation (Carlsbergfondet) and led by Associate Professor Seetha Menon. The research project will use econometrics and machine learning techniques to quantify the impact of key legislations on employee mental health. We hope to welcome our new colleague on 1st September 2024.
Job Description
The Department of Economics is an international department with a strong tradition for excellence in research and teaching within the various fields of economics. The research, teaching, and dissemination activities at the department are organized within four groups: Econometrics and Data Science; Economic History; Macroeconomics; and Microeconomics. A more elaborated description of the department and the groups can be found on the department website.
It is the aim of the department to conduct research of the highest international standard documented through 1) publications in internationally distinguished journals, 2) presentations at international conferences, 3) external funding from competitive programs and 4) dissemination with high visibility and broad societal impact.
The department emphasizes high-quality research-based teaching using the most relevant teaching methods to enhance students' learning and the department explicitly articulates our view on studying economics at SDU, which can be read here.
The department is responsible for the undergraduate as well as the graduate programmes in Economics and Mathematics-Economics at campus Odense. Also, the department is responsible for economics courses at different campuses at the University of Southern Denmark. The research activities (and the workplace) are situated in Odense.
It is important for the department that applicants have good interpersonal skills and are dedicated to take part in the daily academic and social interaction of the research groups and at the department.
The Postdoc will be affiliated to the Econometrics and Data Science Group. The Econometrics and Data Science Group focuses on producing high quality research and teaching in Econometrics, Statistics, Causal Inference, Machine Learning and Big Data Analytics. The group is acknowledged as a leading research group and attracts substantial grants and media coverage, as well as publishing books and journal articles with top outlets.
The candidate will join an international team of researchers and will be involved in a research project that combines administrative data with external sources to enhance our understanding of how employment conditions affect employee mental health.
Knowledge and research interest in machine learning techniques and econometrics or other related fields in applied microeconomics will be an advantage. This is an excellent opportunity for recent PhD graduates to apply machine learning and causal inference techniques to study mental health outcomes, and benefit from a well-funded interdisciplinary research environment.
The successful candidate is expected to contribute to a high-quality research environment by pursuing an independent research agenda and by joining a research project involving Seetha Menon (PI) and an international team of researchers.
Further information about the position can be obtained from Associate Professor, Seetha Menon, e-mail: smr@sam.sdu.dk. For general questions regarding housing, taxes etc., the SDU’s International Staff Office can assist - see link.
Application, salary, etc.
Appointment to the position requires a PhD or equivalent and will be in accordance with the salary agreement between the Ministry of Finance and the Danish Confederation of Professional Associations.
Research will be predominant in this position, with a significantly reduced teaching load. Furthermore, other types of assignments may occur to a limited degree.
The University determines the distribution of the various assignments. The weighting of the different assignments may vary over time.
An application must include:
- Detailed CV
- Certificates/Diplomas (Master and PhD degree).
- Information on teaching experience or other forms of knowledge communication, in the form of a Teaching Statement.
- A research plan that describes the relation of your research agenda to the research project.
- Complete list of publications, indicating which publications are most relevant for the position.
- Up to 5 of the most relevant publications. Please upload a pdf for each publication. If your publications have been co-authored, please briefly describe the extent of the co-authorship or your contribution to the individual joint publication. You can do so by using this form or you can describe the co-authorship in such a way that the committee can assess the extent of your contribution
- Please attach the PhD dissertation as a publication if such exist.
All non-Danish documents must be translated into English.
Assessment of applications will be done under existing Appointment Order for universities.
Applications will be assessed by an assessment committee. The committee may request additional information, and if so, it is the responsibility of the applicant to provide the necessary material.
The assessment committee evaluates the applications based on the appointment guidelines of the department.
When the assessment committee has submitted its report, the applicant will receive the part of the evaluation that concerns him/her.
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.
The University of Southern Denmark wishes to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position.
As part of the overall assessment of the applicant’s qualifications, an interview may be applied.
Applications must be submitted electronically using the link "Apply now" on our website. Uploaded files must be in Adobe PDF (unlocked) or Word format.
Read the guideline for the applicants.
Documents should not contain a CPR number (civil registration number) – in this case, the CPR number must be crossed out.
The application and CV must not exceed 10 MB.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Odense Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Syddansk Universitet, Campusvej, 5230 Odense M
-Ansøgning:
Ansøgningsfrist: 22-03-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5994781
