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Post-doctoral researcher (m/f/d; E13 TV-L, 100%)
International Economics and European Integration

The Chair of International Economics and European Integration at the Faculty of Economics and Social Sciences of Tübingen University invites applications for the position of a

Post-doctoral researcher (m/f/d)
(E13 TV-L, 100%)

Intended starting date is 1 August 2025, but an earlier date is possible. The contract duration is for three years. An extension may be possible.

Our research

Our team studies the organization, globalization and innovation decisions of firms. Current projects focus on understanding how digitalization and new technologies affect firm decisions as well as their implications for
firm growth, employment, wages, and the future of work.

The position

The post-doctoral position is a full-time research position without teaching obligation. It is funded through the ERC Starting Grant “Firm organization and the adoption of information and communication technologies” (101076790 — ORGANDICT — ERC-2022-STG). The successful candidate will be engaged in exploring topics research related to digitalization and emerging technologies, firm organization, corporate innovation, globalization, and the future of work.

We offer:

  • A dynamic, internationally oriented, collaborative and friendly research environment
  • High quality research seminar series in economics and management studies
  • Ample funding to finance conference trips, hire student research assistants, invite coauthors etc.

Your profile
We are seeking a highly motivated, curiosity-driven candidate that holds (or is about to finish) a Ph.D. in economics or a related discipline (e.g., management, data science). The candidate should have a keen interest and strong background in international, organizational or innovation economics broadly defined. Fluency in English is indispensable. German skills are not necessary.

Environment
The University of Tübingen, spread across the small and picturesque town of Tübingen in south-west Germany, is one of 11 Universities of Excellence in Germany, with a Cluster of Excellence for Machine Learning in Science. The University’s School of Business and Economics has a faculty of more than 30 professors, junior professors, and post docs. It attracts excellent students in its B.Sc. and M.Sc. programs, in part due to its strong international orientation. We offer an open and supportive work environment with a strong research orientation, which is also part of our teaching philosophy. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual’s situation into account and asks for relevant information. The university seeks to increase the number of women in research and teaching and strongly encourages qualified women to apply. Disabled persons will be preferred in case of equal qualification.

How to apply
Please submit your applications in electronic form, with the usual documents (letter of motivation, max. 1 page; CV; copies of degrees; job market paper) by 30 November 2024 to economicsspam prevention@wiwi.uni-tuebingen.de. Please indicate the name of your Ph.D. supervisor and one other reference in the application. In case you have question about the application process or the positions, please contact Prof. Dr. Anna Gumpert (anna.gumpertspam prevention@uni-tuebingen.de).

The employment will be arranged by the Central Administration of the University of Tübingen

Postdoctoral researcher in Phylomilia project (m/f/d; E13 TV-L)

Applications are invited for the post of a

postdoctoral researcher (m/f/d, E13 TV-L)

in the Linguistics Department, working with Prof. Gerhard Jäger. This vacancy is connected to the award of funding of a project Phylomilia – Phylogenetic linguistic inference from acoustic speech data, for the period 2024-27 by the Volkswagen Foundation (also see here). The project will be based at the University of Tübingen. The principal activity of the postdoctoral researcher will be to undertake research in deep-learning based automatic speech recognition and in phylogenetic inference. A solid background, including a PhD in a relevant discipline, in modern statistical and machine learning methods in NLP is required.

The Linguistics Department (http://www.sfs.uni-tuebingen.de/) offers a stimulating interdisciplinary research environment.

The salary is figured according to the union contract named TV-L, E13, depending on professional experience.

The period of employment will be for 3 years.

Applications should include CV, an outline of research experience, as well as names and addresses of up to three references. Applications should be sent by email to the address below. The position will be filled as soon as possible. Deadline for applications is August 31, 2024.

Disabled applicants will be preferred if they have the same qualifications as non-disabled applicants. The University of Tübingen strives to increase the proportion of women in research and teaching, and therefore encourages qualified female scientists to apply.

Please send your application electronically as a single pdf file to gerhard.jaegerspam prevention@uni-tuebingen.de.

The contract will be made by the central administration of the university.

Mehrere Doktorandenstellen in Machine Learning Based Data Anaysis of Scattering and Diffraction Data

The Schreiber Group at the University of Tübingen works on the physics of molecular and biological materials using X-ray and neutron scattering. A specialised sub-group is dedicated machine learning based data analysis of scattering and diffraction data. Currently we have several

PhD positions (m/f/d)

available. Candidates with experience or interest in neural networks and machine learning strategies to analyse scattering are especially encouraged to apply.

You should have good communication skills, attention to detail, and flexibility to work both independently as well as in a team. You should hold either a diploma/master degree in physics, physical chemistry, material science or have a background in computer science.

You will be part of challenging interdisciplinary projects that are integrated into major national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI consortium. We offer well-equipped laboratories, a highly collaborative international environment and affiliation with the Cluster of Excellence "Machine Learning: New Perspectives for Science" funded by the DFG and hosted at the University Tübingen. You will receive excellent training and for all our projects we offer the opportunity to perform research at international large-scale facilities (such as synchrotrons and neutron sources).  Details on our research as well as publications and background information can be found at http://www.soft-matter.uni-tuebingen.de/machine_learning_XRR.html and http://www.soft-matter.uni-tuebingen.de/machine_learning_GIWAXS.html

The University of Tübingen has ~ 28,000 students and more than 500 years of academic tradition. It has national excellence status as is ranked in the top 100 universities worldwide. You will benefit from a variety of training opportunities and language courses as well as the university’s graduate academy. See also https://uni-tuebingen.de/en/excellence-strategy.

Applications should include a cover letter describing research interests, achievements, motivation and capabilities; curriculum vitae; academic certificates; names and email addresses of two professional references (e.g., current or previous research advisors). The opening will remain valid until the position is filled.

The positions are available immediately. Salary will be determined according to the German collective wage agreement in public service. Please send your application within one PDF file to softmatterspam prevention@ifap.uni-tuebingen.de

The University aims to increase the proportion of women in research and teaching and therefore urges suitable qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Severely disabled persons with equal aptitude will be given preferential consideration.