Author Archives: Simon Jebsen

17th International Research Workshop – Methods for PhD (27 August – 1 September 2023)

17th International Research Workshop – Methods for PhD
27 August – 1 September 2023
Akademie Sankelmark, Flensburg (Germany)


PARALLEL MORNING SESSION 1 (28 – 30 August 2023)

PARALLEL AFTERNOON SESSION 2 (28 – 30 August 2023)



PARALLEL SESSION 3 (1 September 2022)


  • Dr Wenzel Matiaske, Helmut-Schmidt-University
  • Dr Simon Jebsen, University of Southern Denmark
  • Dr Heiko Stüber, University of Applied Labour Studies


559 Euro (with accommodation and meals)

It is possible to get a certificate on five credit points (according to the European Credit Transfer System).


The workshop will take place at the Akademie Sankelmark, Akademieweg 6, in Oeversee (near Flensburg), Germany.


Don’t hesitate to contact the workshop committee ( for any questions.

Please register for the workshop here or on the workshop website.


  • Helmut-Schmidt-University/University of the FAF Hamburg, Faculty of Economics and Social Sciences
  • Akademie Sankelmark im Deutschen Grenzverein e.V.


  • Europa-Universität Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics

Quantitative Text Analytics

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Dr Fabian Hattke (University of Bergen)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: This course provides a basic introduction to the field of quantitative text analytics
and natural language processing (NLP). It offers a theoretical introduction and hands-on
exercises to explore the potential utility of different approaches to textual data (e.g., closed vs.
open vocabulary text mining, sentiment analysis, topic detection, and data visualization). The
course teaches students to extract and process text from documents and analyse the data through quantitative methods.

Software Installations: The course requires no coding or programming skills or prior
experience with NLP tools. If students want to participate in the practical exercises /actively
use their own datasets, they shall install the following software tools on their personal laptops
prior to the course.

Recommended literature:

Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., … & Ungar, L. H. (2021). Closed-and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. Psychological Methods, 26(4), 398-427.

Grimmer, J., & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21(3), 267-297.

Hickman, L., Thapa, S., Tay, L., Cao, M., & Srinivasan, P. (2022). Text preprocessing for text mining in organizational research: Review and recommendations. Organizational Research Methods, 25(1), 114-146.

Indurkhya, N., & Damerau, F. J. (Eds.). (2010). Handbook of Natural Language Processing
(Vol. 2). CRC Press Wilkerson, J., & Casas, A. (2017). Large-scale computerized text analysis in political science: Opportunities and challenges. Annual Review of Political Science, 20, 529-544.

You have to register for the International Research Workshop to participate in this course.

Multi-level Modelling with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr Daniel Lüdecke (UKE Hamburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:  The course teaches how to fit multilevel regression models with the statistical programming language R. First, simple (generalized) linear regression models are introduced to show important basic principles of modelling, like simple regression, interaction terms, non-linear relationships between predictors and outcome (polynomial and spline terms). Later, the application of these principles in a multilevel framework is demonstrated. Furthermore, the graphical representation of complex mixed models is covered, which helps communicate complicated models even for a broad audience less familiar with such techniques. Successful participation requires basic knowledge of regression modelling techniques. Students are encouraged to bring their own laptops with the free software R ( and RStudio ( installed. All source code to run the examples is provided in preparation for the course.

Requirements: Knowledge of classic regression modelling (familiarity with terms like dependent and independent variables, linear and logistic regression, estimate, …)

Recommended readings:

  • Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., … Inger, R. (2018). A brief introduction to mixed-effects modelling and multi-model inference in ecology. PeerJ, 6, e4794.
  • Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009). Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution, 24(3), 127–135.

Required R packages:

  • Modelling: lme4, glmmTMB, GLMMadaptive
  • Visualization: ggeffects, sjPlot, see
  • Summaries and Statistics: parameters, effectsize
  • Model Quality: performance
  • Data preparation: sjmisc, dplyr, tidyr

You must register for the International Research Workshop to participate in this course.

Data Analysis with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr Marco Lehmann (Oviva AG)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The course introduces the programming language R used for statistical analyses. The beginning of each lecture comes with a demonstration of programming and statistical functions that will be elaborated on in the course of the study. The students will then practice with many statistical examples. In addition to statistical functions, the course will introduce the definition of R as a programming language and its syntax rules. Students will further learn to use R’s scripting capabilities. Successful participation requires basic knowledge of descriptive and inferential statistics. The students are encouraged to bring their own laptops with the free software R ( and RStudio ( installed.

A requirement for students: Basic descriptive and inferential statistics knowledge is recommended.

Recommended literature and pre-readings:

  • Please read Chapter 1 in Lehmann, M. (2022). Complete Data Analysis Using R. Your Applied Manual. SAGE Publications Ltd.

You have to register for the International Research Workshop to participate in this course.

ReMaT – research management training for early-career researchers

ReMaT is an intensive, interactive workshop, providing an introduction to a number of key topics relating to research management including project management, grant acquisition, and science and technology related entrepreneurship. ReMaT is especially tailored to meet the needs of early-stage researchers especially from the 2nd year of PhD studies onwards, but is also suitable for others involved in research, or in directing research. ReMaT delivers hands-on practical training in an intensive, yet effective workshop form over two days. There is a strong emphasis on European networking in the way the workshop is delivered: we encourage participation from many different countries and disciplines.
Target group:
Early-stage researchers, e.g. PhD candidates or postdocs

More information and registration

Good Supervision – HRA workshops for experienced researchers

Dear all,

I would like to draw your attention to the summer workshops of the Hamburg-Research-Academy on the topic of “Good Supervision”. These workshops are aimed at postdocs, junior research group leaders and W1 professors with supervision responsibilities.

The offers are in English and can be accessed at the following link

In particular, I would like to draw the attention to the intensive workshop on “Good Supervision”. The idea behind the workshop is that the participants, after completing it ideally also be active as multipliers for the topic at the University, thus establishing peer groups or low-threshold exchange opportunities for supervisors, which are then further supported by the Hamburg-Research-Academy.

Attendance at all workshops is free for individuals from HRA member universities.

M. Gürth
Research Officer
Helmut Schmidt University / University of the Federal Armed Forces Hamburg
Holstenhofweg 85
22043 Hamburg
Phone: +49 (40) 6541-3463

Max Planck Institute: Research Fellowship on Blackness and Racialisation in Europe

The Max Planck Institute for the Study of Religious and Ethnic Diversity is dedicated to the multidisciplinary study of diversity in historical and modern societies, especially concerning ethnic, religious, political, and legal processes and dynamics. This work includes basic empirical research to advance theoretical concepts.

The Minerva Fast Track Research Group Migration, Identity and Blackness in Europe, situated at the Department of Socio-Cultural Diversity, is inviting applications for the position of

Research Fellow [Postdoctoral] (m/f/d)
(full-time for two years with a starting date of 1 June 2023 or earlier)

The newly established research group takes an interdisciplinary approach to studying Blackness, racialization, and identity formation and transformation processes in the context of migration. The group explores questions such as: how are migrants’ identities (trans)formed in the context of migration? How do migrants communicate their own identities, and how do others communicate about migrants? And what can we learn if we look at racialization and migration as interconnected processes? In answering these questions, the group combines qualitative research methods (e.g., interviews and ethnographic observations) with computational methods (e.g., computational text analysis). The group is committed to doing non-exploitative research and engaging in participatory research practices. Our main focus is on African migrants in Europe, particularly Germany.

The successful research fellow is expected to (1) contribute to the group’s research projects, carrying out research on the multiple dimensions of Blackness and Africanness and the identifications of African migrants in Germany at the group or/and societal level, (2) be open to work with community-based organizations and initiatives (in Germany), and (3) play an active role in the organization of international seminars and the publication of research in key academic venues, as well as for wider audiences.

Your Profile

Applicants should have a strong interest in studying the interconnections between identity, communication, migration and racialization, focusing on the European context. Applicants must hold a PhD in sociology, psychology, anthropology, linguistics, data science, or similar. Applicants expecting a PhD must have submitted their thesis by 24th February 2023.

Very good spoken and written English and some basic knowledge of German are required. Very good spoken and written German is an advantage. The working language at the institute is English and regular presence at the Institute is required.

Our Offer

The contract will be for a full-time position and for a period of two years ending 30 June 2025. 1-year extensions are also possible, contingent upon confirmation of funds. Salary is based on the German collective agreement for civil servants (TVöD Bund), level E 13.

The Max Planck Society is mainly funded by the German Federal and State Governments (see Max Planck Institutes provide outstanding facilities, academic resources and intellectual environments to support independent research. Max Planck Institutes are not tied to universities. There are no teaching obligations for staff, but teaching and other forms of cooperation with universities are possible.

The Max Planck Society wishes to increase the participation of women across the sciences. Applications from women are, therefore, particularly welcome, as are applications from people of diverse gender or sexual orientations. Following its commitment to equal opportunities employment policies, the Max Planck Society especially encourages applications from persons with a disability. Persons of any nationality can apply.

Applications must be emailed to no later than Sunday, 26th February 2023. Applications should be submitted in a single combined PDF file and include the following:

  • a cover letter describing the applicant’s research interests and their alignment to the group’s goals, and relevant research experience,
  • a CV without a photo, including a list of publications,
  • a short writing sample (no more than 500 words) such as the abstract of a first-author publication or abstract of PhD thesis, and
  • the names and contact details of two referees who we may contact.

Interviews are planned for early to mid-March, mainly in person at the Max Planck Institute for the Study of Religious and Ethnic Diversity in Göttingen. Remote interviews may be arranged for candidates residing outside of Germany.

Informal queries may be directed to Dr Johanna Lukate (lukate (@) For information on the institute, please consult


Europa-Universität: Blog your Science – Bloggen fuer Nachwuchswissenschaftler*innen (09./10.02.2023)

Programme of Study: Qualification Programme of early stage researchers

Lecturer: Susanne Geu

Date: 9th February 2023, 2 pm-6 pm, 10th February 9 am-1pm

Language of instruction: German

Registration: can be done via email to

Contents: Online sichtbar werden Sie mit guter Wissenschaftskommunikation! Der Workshop thematisiert die folgenden Aspekte und liefert die Grundlagen wissenschaftlichen Bloggens und guter Wissenschaftskommunikation über unterschiedliche Sociale Kanäle. Themen: Abgrenzung zum Schreiben wissenschaftlicher Artikel, Kernbotschaften des eigenen Forschungsthemas entwickeln und formulieren, Storytelling und die Neugier auf ein Thema wecken, Merkmale guter Blogtexte, Best Practice-Beispiele Wissenschaftsblogs, Social-Media-Marketing von Blogposts via Twitter, Instagram, LinkedIn etc., Analyse von erfolgreichen Blogbeiträgen verschiedener Wissenschaftsblogs, Entwicklung von Blogthemen und Blogüberschriften für das eigene Forschungsthema: Schreibübung für den Einstieg in eigeneBlogartikel, Peer-Review bereits vorhandener Blogartikel.

Universität zu Köln: 2 Wissenschaftliche Mitarbeiter:nnen an der Professur für Entrepreneurship und Management

An der Professur für Entrepreneurship und Management der Universität zu Köln sind zum nächstmöglichen Zeitpunkt zwei Stellen als

Wissenschaftliche:r Mitarbeiter:in oder „Post-Doc“
(Entgeltgruppe 13 TV-L)

zu besetzen. Die Beschäftigung erfolgt jeweils in Vollzeit (Stellenumfang 100%) und befristet bis zum 31.12.2025.

Mit Prädikat abgeschlossenes Studium der Wirtschaftswissenschaften, Betriebswirtschaftslehre, Volkswirtschaftslehre oder Wirtschaftsinformatik mit sehr guten empirischen/ökonometrischen Kenntnissen.

Ihre Aufgaben:
Das Aufgabengebiet umfasst die Mitarbeit in Lehre und Forschung des Lehrstuhls, z. B. die eigenständige Durchführung von Lehrveranstaltungen, die Mitwirkung bei sowie das eigenständige Vorantreiben von (empirischen) Forschungs- und Publikationsvorhaben und die konzeptionelle Weiterentwicklung der Entrepreneurship-Lehre in der Wirtschafts- und Sozialwissenschaftlichen Fakultät.

Wir bieten:

Die Möglichkeit zur wissenschaftlichen Qualifizierung (bspw. Promotion) ist gegeben; Bewerbungen von bereits promovierten Kandidaten/innen, die eine „post-doctorale“ Karriere anstreben, sind ausdrücklich erwünscht. Wir bieten Ihnen die Zugehörigkeit zu einem engagierten, kooperativen und leistungsstarken Team mit offener, konstruktiver Atmosphäre.

Unsere Anforderungen:

  • Interesse und Mitwirkung an aktuellen Forschungsvorhaben im Bereich der Managementforschung (bspw. in den Bereichen Entrepreneurship, Innovation oder Strategischem/Internationalem Management)
  • Hohes Interesse an empirischer Forschung; entsprechende Kenntnisse quantitativ-empirischer Methoden und Datenauswertung (z.B. Stata oder SPSS) sehr wünschenswert; Kenntnisse der Programmiersprache „Python“ sind von Vorteil
  • Sehr gute Englischkenntnisse in Wort und Schrift
  • Selbstständige Arbeitsweise, Teamfähigkeit, hohe Belastbarkeit und überdurchschnittliche Leistungsbereitschaft

Die Universität zu Köln strebt eine Erhöhung des Frauenanteils an. Bewerbungen von Frauen werden bei gleicher Eignung, Befähigung und fachlicher Leistung daher bevorzugt berücksichtigt, sofern nicht in der Person eines Mitbewerbers liegende Gründe überwiegen. Die Bewerbung geeigneter Schwerbehinderter und gleichgestellter behinderter Menschen im Sinne des SGB IX ist erwünscht.

Ihre schriftliche Bewerbung mit den üblichen Unterlagen richten Sie bitte bis zum 08.01.23 an


Universität zu Köln
Wirtschafts- und Sozialwissenschaftliche Fakultät
Professur für Entrepreneurship und Management
Herrn Univ.-Prof. Dr. Christian Schwens
50923 Köln

Ihr Ansprechpartner bei Fragen ist,
Herr Univ.-Prof. Dr. Christian Schwens

Wir bitten darum, Bewerbungsunterlagen nicht in Mappen, sondern nur in Kopie vorzulegen, da die Unterlagen nicht zurückgesandt werden. Elektronische Unterlagen sind explizit erwünscht. Diese werden nach Abschluss des Auswahlverfahrens vernichtet.

Call for Applications – Starter Scholarships for Doctoral Candidates

Call for Applications

The Bamberg Graduate School of Social Sciences now offers 2 Starter Scholarships for Doctoral Candidates.

We welcome applications from candidates aiming to write their doctoral thesis at the Bamberg Graduate School of Social Sciences. The school supports scholarship holders through personal mentoring, workshops and support services.

The deadline for submissions is 31 March 2023.
Scholarships are available from 1 October 2023 for the duration of one year.

Find out more about the application information on the Graduate School’s website