Faculty of Economics and Social Sciences

Job Vacancies

Here you will find the current job vacancies of the Faculty of Economic and Social Sciences and its institutes.

 

W3/W2-Professorships, Tenure Track-Professorships, Junior-Professorships

Professorships in Economics

The Faculty of Economics and Social Sciences – School of Business and Economics – invites applications to fill the position of two full

Professorships in Economics

to commence in summer semester 2022 or later.

The successful candidates’ research and teaching is in economics, with a particular focus on two or more of the following fields: International Trade and Migration, Industrial Organization, Economic Growth and Development, Monetary Economics, International Finance or Financial Economics.

The Professorships will contribute to the teaching in all degree programs offered by the School of Business and Economics. Required qualifications include a PhD or equivalent international degree and postdoctoral qualifications equivalent to the requirements for tenure in economics. This includes evidence of teaching effectiveness.

The University of Tübingen is particularly interested in increasing the number of women in research and teaching and therefore strongly encourages women candidates to apply.

In line with its internationalization agenda, the university welcomes applications from researchers outside Germany. Applications from equally qualified candidates with disabilities will be given preference. Rights, obligations, and hiring requirements for the professorship arise from the Baden-Württemberg State Higher Education Act (Landeshochschulgesetz, LHG).

Applications are to be submitted, preferably in electronic form, with the usual documents (CV; copies of degrees; list of publications, third-party funding, cooperation projects, and courses taught; teaching evaluations; teaching and research plans; and the application form) as well as two publications, preferably research papers, by March 18th, 2021 -  to berufungspam prevention@wiso.uni-tuebingen.de. Enquiries may be directed to the Dean Prof. Dr. Josef Schmid: dekanspam prevention@wiso.uni-tuebingen.de

Professor (W3) of Education Science with a Special Focus on Adult Education/ Professional Training  

The University of Tübingen Faculty of Economics and Social Sciences invites applications for the position of

Professor (W3) of Education Science with a Special Focus on Adult Education/ Professional Training  

at the Institute for Education Science, to commence at the start of the 2021/2022 winter semester.

Applicants must have an extensive background in adult education. Applicants will have made relevant contributions to research in this professorship’s field; they will have high-level national and international publications, and will have been successful in raising third-party funding in competition.

System and organization-related research contributions are expected in at least one of the following macro- and meso-level areas of adult education:

  • Structure and governance in an international comparative perspective;
  • Organization, control and management;
  • differential participation structures and transitions in the life course.

The successful candidate will be expected to collaborate in Education and interdisciplinary research in both the institute and the faculty. Broad methodical and methodological expertise is desirable.

The holder of the professorship will participate in all the institute’s degree programs and in the training of students in teaching-degree programs (Lehramt).

Required qualifications include a PhD or equivalent international degree and postdoctoral qualifications equivalent to the requirements for tenure in Education. This includes evidence of teaching effectiveness.

The University of Tübingen is particularly interested in increasing the number of women in research and teaching and therefore strongly encourages women candidates to apply.

In line with its internationalization agenda, the university welcomes applications from researchers outside Germany. Applications from equally qualified candidates with disabilities will be given preference.

Please send the required documents (curriculum vitae, copies of certificates, lists of publications, details of third-party funding, details of cooperation arrangements and of courses taught as well as teaching evaluations), together with a completed application form [see: https://uni-tuebingen.de/fakultaeten/wirtschafts-und-sozialwissenschaftliche-fakultaet/fakultaet/downloads/], as well as three publications, preferably essays), as a single electronic file to: bewerbungspam prevention@wiso.uni-tuebingen.de; or by post to: Wirtschafts- und Sozialwissenschaftlichen Fakultät, Nauklerstraße 48, 72074 Tübingen, GERMANY by March 18th, 2021.

Enquiries may also be directed to the Dean, Professor Dr. Josef Schmid (dekanspam prevention@wiso.uni-tuebingen.de).

Tenure-Track Professor for Data Science in Economics

The School of Business and Economics of the Faculty of Economics and Social Sciences at Tübingen University invites applications for the position of

Tenure-Track Professor for Data Science in Economics

Intended starting date is April 1, 2022.

The position is part of the School’s initiative to further broaden and strengthen its activities in Data Science and its applications in different domains and to foster its innovative and interdisciplinary development. The University of Tübingen provides an excellent environment for this initiative.

We are looking for outstanding candidates with an excellent track record of applying advanced statistical methods and who are highly interested in applying Data Science methods in relevant and promising fields in economics. The successful candidate will further have expertise in several of the following areas:

  • Working with unstructured data
  • Machine learning for analyzing scientific data
  • Workflow for reproducible research and statistical analysis
  • Handling and management of large and diverse data sets

In addition, we expect experience with R and/or Python in teaching or research, and we further expect expertise in one area of application such as labor economics, public economics (taxation, health, environmental, etc.), international or regional economics, econometrics, financial economics, organizational economics, or innovation economics.

We expect the successful candidate to contribute to the School’s teaching portfolio at all levels, in particular to the M.Sc. Data Science in Business and Economics. A clear empirical focus in research and teaching is expected, and a commitment to open science is appreciated. The position has a teaching load of four hours per week prior to interim evaluation, and six hours thereafter.

We are looking for outstanding candidates in an early phase of their career with an excellent track record:

An outstanding doctoral thesis in a relevant field (e.g., economics), recognizable potential for internationally visible publications in leading international peer-reviewed journals, and third-party funding, as well as teaching experience.

Applicants for a Tenure-Track professorship with a PhD from Tübingen must have changed universities after completing their doctorates or have worked in academia and/or research for at least two years somewhere other than the University of Tübingen.

This Tenure-Track position is subject to an interim evaluation after four years and a final evaluation after six years. If the final evaluation is positive, this professorship will be upgraded to a full (W3) professorship with no re-advertising of the position. Detailed information on this employment category and the criteria underlying the interim evaluation and promotion to the tenured position may be found in the following two documents:

The University of Tübingen is particularly interested in increasing the number of women in research and teaching and therefore strongly encourages women candidates to apply. In line with its internationalization agenda, the university welcomes applications from researchers outside Germany. Applications from equally qualified candidates with disabilities will be given preference.

Rights, obligations, and hiring requirements for the professorship arise from the Baden-Württemberg State Higher Education Act (Landeshochschulgesetz, LHG). The German-language advertisement is the sole legally binding advertisement of this position.

Applications are to be submitted, preferably in electronic form, with the following documents: CV, two reference letters, copies of degrees, list of publications, third-party funding, cooperation projects, courses taught, teaching evaluation, teaching and research plans, and the application form as well as two publications, preferably research papers, by March 18, 2021 -  to berufungspam prevention@wiso.uni-tuebingen.de. Questions can be directed to the Dean.

The new Baden-Württemberg State Higher Education Act includes the category of tenure-track professor as of the spring of 2018 in Sec. 51b. Until then, the term had been “assistant professor with tenure track”. That is why it is possible for those persons who hold such W1 positions to call themselves and be called tenure-track professors. This call for applications is to fill such a tenure-track professorship. It is possible to receive supplements to the basic salary for W1 positions and thus also for tenure-track professors.

This is a call for applications within the Joint Federal Government-Länder Tenure-Track Programme to support junior academics.

Application Form

Download the Application form as a Word document here.

 


Academic Staff

 3-year doctoral position (m/f/d) at the Hector Research Institute of Education Sciences and Psychology

The Hector Research Institute of Education Sciences and Psychology is currently inviting applications for a:

  3-year doctoral position (m/f/d)

(65 %, E 13 TV-L[1])

We are seeking excellent doctoral candidates who are motivated to work on the development of new research methods. Applicants may come from any of the following fields (or related fields): data science, statistics, psychology/psychometrics, econometrics, or education sciences.

The position will be funded for 3 years. The starting date for this position is as soon as possible, but we are committed to accommodating candidates’ individual circumstances.

The position is embedded in the institute’s main research field methodological research and development; the successful candidate will primarily be supervised by Assistant Professor Steffen Zitzmann. The Hector Research Institute is a nationally and internationally leading research center in education sciences and psychology. Our interdisciplinary team works in a well-equipped building close to the historic city center of Tübingen, Germany. Traditionally, research at the Hector Research Institute investigates determinants of successful teaching and learning processes using large scale assessments, longitudinal studies, and randomized controlled field trials. Our team will collaborate with the other research fields at the institute and support them by providing a diverse array of methods know-how, particularly in quantitative methods and statistics. More information can be found at www.hib.uni-tuebingen.de.

The successful candidate is expected to work on one or more of the following topics: (1) Causal inference and how causality can be established (or approached) by using advanced statistical methods in non-experimental designs, (2) longitudinal/time-series modelling, (3) Regularization and machine learning techniques to process big data, (4) Approaches to improve computational efficiency, (5) Development of R packages and/or Shiny Apps. Besides theoretical contributions and programming, the successful candidate is expected to use computer simulations to evaluate the developed methods.

The PhD candidates will benefit from unique opportunities, including:

  • Close collaboration, mentoring, and professional development from a supervisory team
  • Supportive environment to enable presentations at national and international conferences and publications in highly ranked journals to advance an (international) academic career
  • Opportunities for interdisciplinary and international exchange programs (e.g., lab visits)
  • Access to the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de)

Requirements

Graduates (and applicants about to graduate) with a master’s degree from the above-mentioned fields with excellent grades and a strong interest in research from interdisciplinary perspectives are encouraged to apply. We especially give priority to candidates who have experience in developing and programming statistical procedures (preferably with R). Experience with publishing articles is a bonus.

For further inquiries about the position, please reach out to Assistant Professor Steffen Zitzmann (steffen.zitzmannspam prevention@uni-tuebingen.de).

Applications including a (a) cover letter detailing your research experiences, interests, and methodological skills, (b) a CV, and (c) degree and other certificates with transcripts should be sent via email in one single pdf-file to verwaltungspam prevention@hib.uni-tuebingen.de. The initial deadline is March 21. Disabled candidates will be given preference over other equally qualified applicants. The University seeks to raise the number of women in research and teaching and therefore urges qualified women to apply for these positions. Employment will be officially organized by the central university administration.

 

[1] According to the general pay scale of German universities, the salary will be “E 13TV-L”. This corresponds to a monthly salary of at least EUR 2,601,-** (65% position, gross pay, before tax). After taxes as a single (i.e. not married or in a civil partnership; no children), the monthly salary is at least EUR 1.703 (net salary after taxes and health insurance payments). Your income will increase annually if you remain employed. Information regarding cost of living in Tübingen: https://tuebingenresearchcampus.com/tuebingen/ 

Postdoctoral Research Fellow on Educational Data Science at the Hector Research Institute of Education Sciences and Psychology

The Hector Research Institute of Education Sciences and Psychology is currently inviting applications for the following position:

 A Postdoctoral Research Fellow on Educational Data Science for 3 years (+ possible 2 year extension) (m/f/d)

(100%, E 13 TV-L[1])

We are seeking a bright and motivated postdoctoral research fellow who has strong background in data science (more specifically machine learning, learning analytics, and/or psychometrics), with good experience analyzing social science data (e.g., data from education). We are especially interested in analyzing a number of publicly-available large datasets on educational attainments.

The position comes with a fixed-term contract for 3 years with the possibility for extension for an additional 2 years. The expected start date is September 2021 but we are highly flexible and committed to accommodating candidates’ individual circumstances. There is the possibility to participate in the institute's own postdoctoral academy PACE (Tübingen Postdoctoral Academy for Research on Education) which offers further training, coaching, and mentoring at postdoctoral level.

The position is part of the new Alexander von Humboldt Professorship of Educational Psychology held by Professor Kou Murayama, who has moved to the University of Tübingen to continue his internationally renowned research at the Hector Research Institute. A Humboldt Professorship is the most highly endowed research prize in Germany and enables world class scientists to carry out long-term and ground-breaking research at universities and research institutions in Germany (https://www.humboldt-professur.de/en). The Hector Research Institute is a nationally and internationally leading research center in education sciences and psychology. Our interdisciplinary team works in a well-equipped building close to the historic old town of Tübingen, Germany. Traditionally, research at the Hector Research Institute investigates determinants of successful teaching and learning processes using large scale assessments, longitudinal studies, and randomized controlled field trials. Our team will collaborate within the institute continuing these traditions and also supplement them with a diverse array of methodological approaches. More information can be found at www.hib.uni-tuebingen.de.

The successful candidate is expected to analyze publicly-available large datasets on educational attainment using a variety of machine learning techniques, exploring critical predictors of educational outcomes in a bottom-up, comprehensive manner. The successful candidate is expected to design, implement, and perform the study in an autonomous manner, with some guidance from the PI. Teaching is not required but we strongly encourage postdocs to teach some (e.g., one course per semester) as part of our training program for postdocs.

The successful candidate holds an excellent PhD in one of the aforementioned fields or a related field such as psychology (or will have obtained a doctoral degree by the start date of the position) and has a visible track record (e.g., publication and third-party funding experience) in the field. Research experiences in education/psychology research are good bonus. A visible commitment to research transparency is also a plus. Most importantly, the successful candidate should specifically demonstrate (1) a solid methodological skill set that allows them to conduct research with independence and (2) substantive experience with interdisciplinary research project(s), and (3) a strong motivation and open-mindedness with respect to building interdisciplinary links with education sciences (if they have not worked in education sciences before). You will also be given the opportunity to join the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de) to develop a cross-faculty collaborative network of researchers working on research on education. While beneficial, proficiency in German is not necessary for these positions.

For further inquiries about the position, please reach out to Professor Murayama (k.murayamaspam prevention@uni-tuebingen.de).

Applications including (1) a cover letter detailing your experiences and skills in data science using social science data (with specific analytic methods and programming language(s) that you have used), (2) a CV, (3) contact of two references who can be contacted before interview, and (4) degree and other certificates with transcripts should be sent via email in one single pdf-file to verwaltungspam prevention@hib.uni-tuebingen.de. Initial deadline is March 5, 2021 but we continue to seek candidates until the position is filled by a highly qualified candidate. Disabled candidates will be given preference over other equally qualified applicants. The University seeks to raise the number of women in research and teaching and therefore urges qualified women to apply for these positions. Employment will be officially organized by the central university administration.

 

[1] According to the general pay scale of German universities, the salary will be “E 13 TV-L”. Depending on your experience this corresponds to a monthly salary of around EUR 4.560.,-** (100% position E13, experience level 3, gross pay, before tax). After taxes as a single (i.e. not married or living with a life partner; no children), this monthly salary is at least EUR 2.642 (net salary after taxes and health insurance payments). Information regarding cost of living in Tübingen: https://tuebingenresearchcampus.com/tuebingen/

3-year doctoral position (m/f/d) at the Hector Research Institute of Education Sciences and Psychology

The Hector Research Institute of Education Sciences and Psychology is currently inviting applications for a:

3-year doctoral position (m/f/d)

(65 %, E 13 TV-L[1])

We are seeking excellent doctoral candidates who are motivated to work in the interdisciplinary field of motivation and come from a broad range of perspectives and skills. As such, applicants can come from any of the following fields (or related fields): psychology (particularly educational psychology, developmental psychology, personality psychology and individual differences, clinical psychology, social psychology), cognitive science, education science, educational neuroscience, or psychometrics/data science.

The position comes with a contract for 3 years. The position can start as soon as possible, but we are highly flexible and committed to accommodating candidates’ individual circumstances.

The position is part of the institute’s main research field on motivation in educational contexts and the successful candidate will primarily be supervised by Assistant Professor Lisa Bardach. The Hector Research Institute is a nationally and internationally leading research center in education sciences and psychology. Our interdisciplinary team works in a well-equipped building close to the historic old town of Tübingen, Germany. Traditionally, research at the Hector Research Institute investigates determinants of successful teaching and learning processes using large scale assessments, longitudinal studies, and randomized controlled field trials. Our team will collaborate within the institute continuing these traditions and also supplement them with a diverse array of methodological approaches. More information can be found at www.hib.uni-tuebingen.de.

The successful candidate is expected to work on (1) connecting research on motivation with research on personality to study their effects on students’ learning and variability in their learning or (2) on social (classroom) processes (e.g., peer relations, interactions between students and teachers, pro-and antisocial behavior, such as aggression) and their interplay with students’ motivation and learning. It is (3) also possible to specifically focus on students with a migration background and the development of their motivation and social integration at school.The successful candidates can draw on data from existing longitudinal studies for secondary data analyses and may also be involved in new data collections.

The PhD candidates will benefit from unique opportunities, including:

  • Close collaboration, mentoring, and professional development from a supervisory team
  • Supportive environment to enable presentations at national and international conferences and publications in highly ranked journals to advance an (international) academic career
  • Opportunities for interdisciplinary and international exchange programs (e.g., lab visits)
  • Access to the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de)

Requirements

Graduates (and applicants about to graduate) with a master’s degree from the above mentioned fields with excellent grades and a strong interest in research from interdisciplinary perspectives are encouraged to apply. We especially give priority to candidates who have experience in advanced statistical analysis (preferably using Mplus and/or R). Experience with methods such as experience sampling, (portable) EEG, or the design of laboratory experiments is a bonus.

For further inquiries about the position, please reach out to Assistant Professor Lisa Bardach (lisa.bardachspam prevention@uni-tuebingen.de).

Applications including a (a) cover letter detailing your research experiences, interests, and methodological skills, (b) a CV, and (c) degree and other certificates with transcripts should be sent via email in one single pdf-file to verwaltungspam prevention@hib.uni-tuebingen.de. The initial deadline is March, 8. Disabled candidates will be given preference over other equally qualified applicants. The University seeks to raise the number of women in research and teaching and therefore urges qualified women to apply for these positions. Employment will be officially organized by the central university administration.

 

[1] According to the general pay scale of German universities, the salary will be “E 13TV-L”. This corresponds to a monthly salary of at least EUR 2,601,-** (65% position, gross pay, before tax). After taxes as a single (i.e. not married or in a civil partnership; no children), the monthly salary is at least EUR 1.703 (net salary after taxes and health insurance payments). Your income will increase annually if you remain employed. Information regarding cost of living in Tübingen:

tuebingenresearchcampus.com/tuebingen/


Non-academic staff


Student research assistant

There are no vacancies at present.