Author Archives: Simon Jebsen

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 (www.r-project.org/) and RStudio (www.rstudio.com/) 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
https://www.hra-hamburg.de/en/betreuende.html

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.

Best,
M. Gürth
Research Officer
Helmut Schmidt University / University of the Federal Armed Forces Hamburg
Holstenhofweg 85
22043 Hamburg
E-Mail: maximiliane.guerth@hsu-hh.de
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 www.mpg.de). 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 application_minerva@mmg.mpg.de 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 (@) mmg.mpg.de). For information on the institute, please consult www.mmg.mpg.de.

MAX-PLANCK-INSTITUT ZUR ERFORSCHUNG MULTIRELIGIÖSER UND MULTIETHNISCHER GESELLSCHAFTEN,HERMANN-FÖGE-WEG 11, D-37073 GÖTTINGEN, GERMANY

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.

Einstellungsvoraussetzung:
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

shared-office-1@wiso.uni-koeln.de

oder

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

Ihr Ansprechpartner bei Fragen ist,
Herr Univ.-Prof. Dr. Christian Schwens
E-Mail: schwens@wiso.uni-koeln.de

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

Academic English Writing

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Jonathan Mole (Europa-Universität Flensburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Writing an academic text is a complex task. It requires knowledge of a range of accepted writing conventions and the ability to construct sentences that are not only idiomatically and grammatically correct but also suitably connected to one another. An awareness of the requirements and a degree of practice are necessary.

This workshop is primarily for people who are in the process of writing an academic text in English – a proposal, abstract, article, thesis etc. It allows you to obtain individual feedback on a text you submit before the workshop. In the workshop, assistance will be given to enable you to self-correct any issues which have been highlighted (structure, understanding, logic, language etc.). In addition, an overview of the important characteristics of academic English writing will be discussed. If required, exercises will be available to highlight topics such as academic style (formality, impersonal and objective language, passive voice, caution, nominalisation); structure of a sentence, paragraph and document level; reporting verbs and their forms; coherence and cohesion; and citation and reference styles.

A requirement of students: Please supply a maximum of 2 pages of text at least two weeks before the workshop begins. English language skills at CEFR level B2/C1 are required.

Recommended literature and pre-reading: None.

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

Principles of Data Visualization

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Daniel Schnitzlein (Leibniz University Hannover & Innside Statistics)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Results of scientific research are often (and increasingly) complex and hard to understand for a non-scientific audience. However, at the same time, the transfer of results from academic research to an outside-academia recipient, for example, politics, private foundations or private firms providing research funding, but also the interested public, gets more and more important. Probably the most important skill in this context is the ability to create good visualization of your main (quantitative data-based) results.

Today, data are everyday companions in almost all scientific and professional fields. The graphical representation of data is both an elementary step in the analysis process and an important component in communicating the results. The course Principles of Data Visualization trains this ability and leads you away from the standard diagrams of common office/statistics packages to clear and concise data representations with the help of many practice-oriented examples. The course consists of 50% lectures and 50% hands-on sessions. The methods trained in this course are applicable to all visualization tasks independent of the applied software package. The exercises in the hands-on sessions can be carried out using your preferred software tool.

Requirement of students: Basic knowledge of empirical (quantitative) social and economic research is beneficial but not strictly necessary.

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

Qualitative Comparative Analysis (QCA)

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Jonas Buche (Lower Saxony Ministry of Science and Culture)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Since publishing the seminal work “The Comparative Method” by Charles Ragin in 1987, set-theoretic methods and especially Qualitative Comparative Analysis (QCA) have become a common research strategy in the social sciences. Set-theoretic methods analyse cases concerning identifying sufficient and necessary conditions and assume set relations to be equifinal, conjunctural and asymmetric. Since so-called fuzzy sets have been introduced to the method, there has been a rising interest in QCA as a welcome alternative to both small-n case studies and large-n statistical analyses. In short, QCA is recommended if ‘if…then’ hypotheses are analysed, if the goal is to derive sufficient and necessary conditions, if a comparison is planned, and if there is a mid-sized number of cases (between 10 and 60+).

The course offers a comprehensive introduction to QCA and is conceptually and technically oriented. It starts off with an overview of the basics of set theory and demarcates QCA as a case-oriented method from both the quantitative and the interpretive-qualitative research paradigms. The single elements are built into the Truth Table Algorithm through the notion of necessary and sufficient conditions and truth tables. However, this algorithm is not free of problems. Therefore, some pitfalls and strategies on how to overcome them are presented. The software tool fsQCA will be introduced and applied to published studies on the third day.

A requirement of students: No prior knowledge is required. We will use the software fsQCA, which can be downloaded at www.fsqca.com.

Recommended literature and pre-readings:

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

Questionnaire Design

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Daniel Schnitzlein (Leibniz University Hannover & Innside Statistics)

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 provides an overview of the theoretical basics and empirical evidence of questionnaire design. The cognitive process of survey responding, challenges of designing effective survey questions, including proper question wording and optimal response formats, and pretest techniques for evaluating survey questions will be discussed. A practical part will accompany the lecture.

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