Forschungswerkstatt für Studierende, Promovierende und Post-Docs

In dieser 2-tägigen Forschungswerkstatt bringen Sie Ihre empirische Arbeit einen großen Schritt voran: Sie stellen Ihre Arbeit vor und bekommen fundierte Antworten auf die aktuell offenen Fragen und Unsicherheiten. Mit dem Feedback der beiden Referentinnen und der Teilnehmer arbeiten Sie anschließend direkt an Ihren Daten und Analysen weiter. Dabei werden Sie von den Referentinnen unterstützt, die Ihnen Hilfe zur Selbsthilfe geben. Sie bekommen Unterstützung bei der Auswahl der passenden statistischen Methoden, der Umsetzung mit der Statistiksoftware (konkret für die Software R, SPSS und Mplus), bei der Ergebnisinterpretation und Formulierung und Darstellung der Resultate. Zudem wird es Gelegenheit geben, Teile Ihrer Arbeit von anderen Teilnehmern Korrektur lesen zu lassen, so dass Sie auch in schriftlicher Form Feedback zu Ihrer Arbeit erhalten.

Ablauf:
Damit die Forschungswerkstatt für Sie persönlich zu einem individuellen Gewinn wird, können Sie den Ablauf aktiv mitgestalten:

  • Sie reichen – sofern von Ihnen gewünscht (!) – bis 31.03.2017 ein 3-seitiges Abstract Ihrer Master- oder Bachelorarbeit, Ihrer Dissertation bzw. Ihrer sonstigen Forschungsarbeit ein inkl. den aktuell offenen Fragen und Sie erhalten bis 30.04.2017 ein Feedback auf Ihr Abstract von den Referentinnen.
  • Am Samstag, den 06. Mai 2017 starten wir mit einem Input-Vortrag zu einem von Ihnen gewählten Thema rund um Ihre Arbeiten. Sie können – sofern gewünscht – Ihre fertigen Arbeiten, Ihre Konzepte oder bereits vorhandene Zwischenergebnisse vor den anderen Teilnehmern präsentieren und Sie arbeiten eingenständig (unter Hilfestellung) und/oder in Kleingruppen an den eigenen empirischen Daten weiter. Am späten Nachmittag erhalten Sie die Gelegenheit einen Teil Ihrer Arbeit auch an andere Teilnehmer zu geben, um auch von diesen Feedback zu erhalten. Wir schließen diesen arbeitsreichen Tag mit einem gemütlichen und stärkenden Abendessen bei dem die Gelegenheit besteht, sich darüber hinaus auszutauschen, kennenzulernen und zu vernetzen.
  • Am Sonntag, den 07. Mai 2017 können Sie direkt mit dem Feedback des Vortages in die weitergehende Bearbeitung Ihres Projektes einsteigen. Hier wird für die verbleibenden Teilnehmer Zeit sein – sofern gewünscht – die eigene Arbeit vor den anderen Teilnehmern zu präsentieren und wir werden eingenständig (unter Hilfestellung) und/oder in Kleingruppen an den eigenen Daten weiterarbeiten. Zum Abschluss präsentieren wir wertvolle Tipps zur Darstellung der Ergebnisse in Veröffentlichungen und Präsentationen.

Auch eine passive Teilnahme, d.h. ohne konkretes Forschungsanliegen und/oder konkretes Datenmaterial, ist möglich!

Wann? Samstag, den 06. Mai 2017 und Sonntag, den 07. Mai 2017 – jeweils von 9.00 – 18.00 Uhr
Wo? Management Akademie Weimar in der Villa Ingrid, Gutenbergstr. 1, 99423 Weimar
Teilnahmegebühr: 499 EUR zzgl. MwSt.

Anmeldung unter: http://www.management-akademie-weimar.de/veranstaltungen-2/

37th GESIS Method Seminar (July, 10-18, 2017)

The GESIS Methods Seminar will take place from 10th to 28th July in Cologne.It is aimed at graduate students in the social sciences and humanities as well as related fields.

It consists of five courses, three in German, two in English – all are research based and teach practically relevant skills. The Basismodul, Aufbaumodul I, and Aufbaumodul II are held in German and teach basic knowledge and skills on how to analyse quantitative, scientific data. The Big Data-Modules I and II are held in English and convey knowledge and skills from data science – for example, how to handle and analyse large amounts of data from the internet.

More information and registration here https://training.gesis.org/?site=pDetails&pID=0x2285A1505F2E4A4698D861A1BD0C8F77.

6th GESIS Summer School in Survey Methodology (August 3-25, 2017)

The program of the 6th GESIS Summer School in Survey Methodology is online and registration is open. The Summer School 2017 will be held from August 3 to 25 at GESIS Cologne, Germany. 15 courses are scheduled, among them 4 short courses and 11 one-week courses. New to the program are courses on “Preparing data for re-use”, “Structural Equation Modeling for Longitudinal and Panel Data”, and “Meta-Analysis“.

You will find more information on the website at http://bit.ly/2017-gesis-summer-school/.

GIGA Summer Term Programme 2017, 24 April – 27 June 2017

Institution: GIGA German Institute of Global and Area Studies

Location:
GIGA German Institute of Global and Area Studies
Neuer Jungfernstieg 21
20354 Hamburg

The following seminars are open to doctoral students and postdoctoral researchers at the GIGA and its partner institutions. Please note that other external participants are asked to pay a small course fee.

24 – 25 April Qualitative Interviews Dr Alenka Jelen-Sanchez, University of Stirling
3 – 4 May Introduction to R Dr Florian Weiler, University of Kent
8 May Research Data Management – Introductory Course for Doctoral Students Dr Birte Pfeiffer, GIGA
10 May CAS & Global Studies I: Growth and Development: Basic concepts, measurement and data Apl Prof Dr Jann Lay, GIGA
18 – 19 May QCA and Case Selection Prof Ingo Rohlfing Ph.D., University of Cologne
1 – 2 June Process tracing methods – an Introduction Prof Derek Beach, University of Aarhus
7 June CAS & Global Studies II: Studying Presidential Term Limits in Africa and Latin America Dr Mariana Llanos, GIGA
13 – 14 June Introduction to Grounded Theory Alice Mattoni, Scuola Normale Superiore Florence
27 June CAS & Global Studies III: Rising Powers in World Politics Prof Dr Sandra Destradi, GIGA

Information on Registration:
Participants need to register online by filling in the registration form that is available on the website of the respective event.

Questions should be addressed to Laura Carolin Freitag.

Registration deadline: Monday, 17 April 2017

Upcoming courses at the Institute for Employment Research (IAB)

Einführung in Octave

Course instructor: Dr. Ludsteck
Date: 24.-26.04.2017

Quantil Regression

Course instructor: Prof. Fitzenberger
Date: 19./20.09.2017

Causes and Consequences of Migration

Course instructor: Prof. Spitz-Oener
Date: 16./17.11.2017

Institution: Institute for Employment Research (IAB) of the German Federal Employment Agency (BA)

More information is coming soon!

EDEN Doctoral Seminar on Conceptual Paper Development and Theory Building in Management and Organization Studies (Brussels, June 26-30, 2017)

Programme Coordinator & Faculty:
Sascha Albers, Professor of International Management, Dept. of Management, University of Antwerp, Belgium (Programme Coordinator)
Jenny Gibb, Senior Lecturer, Dept. of Strategy and HRM, University of Waikato, New Zealand

Purpose & Content:
All research is based on theory, but not all theory is based on research. If this claim is true, it is essential for every scholar to understand what theory is, what theory is not, which types of theory there are, how to skillfully apply, extend, build on and connect extant theories and even, how to develop new theory. Every PhD student will attempt to develop theory in at least one of the aforementioned ways.

The key purpose of this course is to increase participant understanding of how to identify and read theories, as well as to apply theory building techniques in management. We purposely aim to provide a broad range of understanding of theory in this course for two key reasons. First, it is important to be able to identify and understand a range of different theory types. Second, it is critical that participants are able to differentiate theory proper, from proximate constructs such as models and frameworks, which themselves may constitute important, valuable and significant conceptual contributions.

Hence, the theme and rationale for calling this course: Conceptual paper development and theory development. Theory papers are sometimes called the most difficult and the most prestigious art of scholarly paper writing. In this course, we will examine why this is the case and work to systematically build understanding on how to develop theory and conceptual contributions. In working on theory and conceptual paper development we intend to deepen participants’ appreciation of theory building and to assist them to craft potentially valuable and effective research papers.

This course will also encourage participants to improve their analytical abilities to critically evaluate contemporary management research.

Further Information and Application

TU Darmstadt: Career Bridging Grants

Are you a PhD student or a postdoc planning your next career step? You would like to apply for external funding to finance your own position but need to financially bridge the time up to the potential funding start?

The Career Bridging Grant closes financial gaps between two career steps for candidates currently working at or aiming to work at TU Darmstadt. It provides short-term financial support for highly qualified candidates, who apply for funding with good prospects of success. The Career Bridging Grant secures financial support during the application process and thus facilitates a smooth transition to the next career step.

Application deadline: April 15, 2017

Find out more at: www.tu-darmstadt.de/postdocs

Research Assistant (PhD candidate) (m/f)

The Professorship of Economics (Prof. Dr. Jutta Günther) in the Faculty of Business Studies and Economics at the University of Bremen invites candidates to apply for the fixed-term position of a

Research Assistant (PhD candidate)
– salary 13 TV-L (50% part time) –

The working group at the Professorship of Economics specialises in the field of innovation and structural change. It deals with empirical innovation research with a focus on questions of system transformation, internationalisation of research and innovation as well as technology and innovation policy. See: http://guenther.iino.uni-bremen.de/en/

We offer…

  • an employment contract for 3 years
  • scope for independent research for a doctoral degree (normally a cumulative dissertation)
  • a comprehensive data infrastructure for independent research and technical support in data related work
  • integration into an international, agile working group of currently about 10 persons
  • participation in the international research network of the working group
  • chance for further training in the field of quantitative research methods, soft skills etc.
  • possibility for a research visit abroad within the dissertation project
  • participation in doctoral courses, scientific workshops, and international conferences

We expect…

  • a university degree at master level (normally 300 credit points) in economics, business administration or a related subject
  • basic knowledge in quantitative empirical methods, esp. econometrics
  • if possible first experience in empirical economic research
  • assistance in academic teaching (max. 2 SWS), e.g. exercise sessions, supervision of students
  • contribution to research projects of the working group
  • support of the internationalisation activities of the working group and the faculty
  • good English and at least basic German, team orientation, and scientific curiosity
  • As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In the case of equal qualification, disabled persons will be given priority. International applications, as well as applications of academics with a migration background, are explicitly welcome.

The employment is fixed-term and governed by the Act of Academic Fixed-Term Contract, §2 I (Wissenschaftszeitvertragsgesetz – WissZeitVG). Therefore, candidates may only be considered for appointment if they still have the respective qualification periods available in accordance with § 2 (1) WissZeitVG.

Please send your application (one pdf file) with all necessary information (CV, certificates etc.) and a version of your final thesis or a selected term paper until March 12, 2017 indicating the position number A244/16 to: University of Bremen, Faculty of Business Studies and Economics, Prof. Dr. Jutta Günther, Professorship of Economics, Innovation and Structural Economics, Hochschulring 4, 28359 Bremen, Germany or

Please send your application (one pdf file) with all necessary information (CV, certificates etc.) and a version of your final thesis or a selected term paper until March 12, 2017 indicating the position number A244/16 to: University of Bremen, Faculty of Business Studies and Economics, Prof. Dr. Jutta Günther, Professorship of Economics, Innovation and Structural Economics, Hochschulring 4, 28359 Bremen, Germany or office-guenther@uni-bremen.de

In case you have any questions, please contact Dr. Muhamed Kudic: E-Mail: kudic@uni-bremen.de

Promote your content on the PhD Network

Do you have any news (courses, call for papers, job announcements, etc.) that you would like to publish on the Ph.D. network website? You are welcome to write a post on our website and promote your content free of charge. Your relevant content will be promoted on our website, newsletter and social media.

We are currently accepting the following types of submissions:

  • Courses, Events, Conferences
  • Job Vacancies
  • Call for Papers

Invitation to 6 Doctoral Scholarships with a maximum duration of 3 years, beginning 1 October 2017

The Institute for Employment Research (IAB) and the School of Business and Economics of the
University of Erlangen-Nuremberg (FAU) offer a joint doctoral programme in labour market
research (GradAB), which prepares graduates for a career in academics and in policy consulting.
IAB and FAU jointly constitute one of the most important hubs for labour market research in
Germany and provide optimal conditions for more than 200 labour market researchers from
different disciplines to conduct high-quality academic research.

  • The Graduate Center GradAB offers a three-year programme of high-level training in
    labour market research, which can be extended for another year under certain conditions.
  • Doctoral students benefit from a professional research and policy-consulting environment
    in one of the key institutions advising high-ranking social policymakers.
  • The course programme provides training on labour market research, methods, and data at an advanced level and is held in English.
  • The GradAB works closely together with its partners from a large network of renowned
    national and international universities, research and policy institutions.
  • The scholarship offers financial support of 1,350€ / month. In addition, funding is
    available for participation in scientific conferences and further training.
  • Scholarship holders are granted access to the IAB’s unique data resources on employment
    and social security (administrative and survey data).

We invite applications from outstanding graduates in the fields of economics, sociology or other social sciences who hold a master’s degree or diploma and have a strong interest in labour market research.

For further information on the programme, admission requirements, and the application process, please see our website www.iab.de/en/gradab.

Please submit your application in English by 31 March 2017 to:
Dr Sandra Huber
E-mail: sandra.huber@iab.de