
GESIS - Leibniz Institute for the Social Sciences · Köln
GESIS – Leibniz-Institut für Sozialwissenschaften ist eine von Bund und Ländern finanzierte, international tätige sozialwissenschaftliche Einrichtung der Leibni...
GESIS – Leibniz-Institut für Sozialwissenschaften ist eine von Bund und Ländern finanzierte, international tätige
sozialwissenschaftliche Einrichtung der Leibniz-Gemeinschaft.
Wir suchen zum 01. Oktober 2026 für den Standort Köln in der Abteilung Knowledge Technologies for the Social Sciences,
Team Information and Data Retrieval eine*n
Postdoctoral Researcher in Natural Language Processing und Research Knowledge Graphs
(Entgeltgruppe 13 TV-L, Arbeitszeit 100 %, befristet bis 31.12.2028, Option auf Verlängerung)
Die Abteilung Knowledge Technologies for the Social Sciences (KTS) forscht an der Schnittstelle von Information Retrieval, Natural
Language Processing, semantischen Technologien und Human Information Interaction als Grundlage für innovative Webportale und
Plattformen für die Suche und Nutzung von Forschungsdaten wie bspw. der GESIS Knowledge Graph.
KI verändert den wissenschaftlichen Prozess disziplinübergreifend. Im Projekt NFDI4DS entwickeln wir Infrastrukturen, die
Forschende dabei unterstützen, KI-Methoden verantwortungsvoll einzusetzen – beispielsweise durch die Etablierung fairer
Benchmarking-Protokolle, die Gewährleistung transparenter Evaluations- und Dokumentationsverfahren für KI-Modelle und LLMs sowie
die Kuratierung eines offenen, wiederverwendbaren Repositoriums KI-basierter Methoden einschließlich zugehöriger
Schulungsmaterialien und Veranstaltungen. In diesem Kontext suchen wir eine*n motivierte*n wissenschaftliche*n Mitarbeiter*in zur
Koordination und Leitung dieser Aktivitäten.
Projektpartnern und der Betreuung von Promovierenden
Knowledge Graphs (z. B. GESIS KG)
Schulungsmaterialien) sowie die Integration mit Drittanbieter-Infrastrukturen
Workshops auf nationaler und internationaler Ebene
verwandten Fachgebiet
Informationen
Kindern
Für weitere Informationen zu den Aufgabengebieten wenden Sie sich bitte per E-Mail (Philipp.Mayr@gesis.org) oder Telefon +49 221
47694 533 an Dr. Philipp Mayr. Bei Fragen zum Bewerbungsprozess steht Ihnen Franca Tosetti per Email
(franca.tosetti@gesis.org) zur Verfügung.
Dann bewerben Sie sich bitte bis einschließlich 27.07.2026 über unser Online-Bewerbungsportal.
Die Kennziffer lautet: KTS-83
ABOUT THE POSITION You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) . As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile. ---------------------------------------------------------------------------------------------------------------------------------- MANDATORY REQUIREMENTS * PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. * Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI). * Demonstrated expertise in at least two of the following areas: * semantic parsing or structured NLP * knowledge representation, reasoning graphs, or GNNs * natural language generation, explainability, or rationale modeling * ontology alignment, cross-domain transfer, or representation learning * personalization algorithms, metacognition, or educational AI * human-in-the-loop systems or RLHF * Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects. * Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). * Strong analytical, communication, and academic writing skills. * Demonstrable ability to design rigorous experimental pipelines and validation methodologies. * Responsible, independent, and proactive research personality with strong teamwork skills. * Intercultural experience and readiness to work in an international research environment. * Fluency with AI co-pilot assistants for coding and writing. * Fluency in English, the primary language of research and instruction on campus. PREFERRED QUALIFICATIONS: * Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets. * Prior involvement in interdisciplinary or applied research projects. * Potential to contribute to competitive funding applications. * Experience with open-source releases or reproducible research pipelines. APPLICATION DETAILS * Starting date: September, 2026 * Contract: Full-time (100%), TV-L E13 * Work mode: Hybrid APPLICATION PACKAGE MUST INCLUDE: * Curriculum Vitae (CV); * A detailed letter of motivation outlining research interests and career goals; * 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help develop the data-driven foresight methods to find out. About us At the Division of Physical Resource Theory, we study how societies can transition towards sustainability. Building on physics and systems analysis, our interdisciplinary research connects technical and social sciences to address challenges such as climate change, energy transitions and sustainable land use. The position(s) will be based in the Energy Technology and Policy group which develops methods to evaluate the realism of energy and climate futures. About the research project The Energy Technology and Policy group (http://www.entap.net/) is recruiting up to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling of new technologies, both established technologies like solar and wind as well as emerging technologies like hydrogen. The positions will be linked to a number of national projects and embedded in the ENTAP group, with a strong international network and tradition of interdisciplinary collaboration through shared work spaces and a joint seminars. Who we are looking for The following requirements are mandatory: To qualify as a postdoc, you must have a doctoral degree or an equivalent foreign degree in energy studies, environmental science, complex systems studies, economics, public policy, political science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python) Strong written and verbal communication skills in English You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: Experience in developing technology foresight models Experience in policy analysis Experience in publishing in high impact journals is preferred What you will do Develop and apply probabilistic foresight models for policy-driven technologies and explore the meaning of uncertainty in such projections. Analyse the extent to which policy interventions can accelerate technological change. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to up to 20 percent of working hours Contract terms The position is a temporary full-time employment for two years with the possibility of a one-year extension. The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn. What we offer As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/ for employees. A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en. Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/ Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A comprehensive CV, including a complete list of publications. Details of previous teaching and pedagogical experience. Personal letter A brief introduction about yourself. A brief motivation as to why you are interested in this position. Bachelor's, master's, and if available PhD thesis together with the transcripts. Two publications which you think best represent your work (can be pre-prints) Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than August 14th, 2026 For questions please contact: Professor Jessica Jewell Email: mailto:jewell@chalmers.se We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.
Department of Forest Bioeconomy and Technology We are seeking an engaged and motivated Postdoctoral Researcher to join an interdisciplinary research collaboration between the Swedish University of Agricultural Sciences (SLU), Umeå University, and the University of Massachusetts. As Sweden and the EU work towards ambitious biodiversity and ecosystem restoration goals, understanding the human dimensions of forest management is increasingly important. This position offers a unique opportunity to contribute to research at the intersection of psychology, economics, and forestry, helping to inform decisions towards more resilient forest landscapes. The complete advertisement is available at: https://www.slu.se/en/about-slu/work-at-slu/jobs-and-vacancies/ About the position The EU Nature Restoration Law and Sweden’s environmental quality goals stipulate societal demands for more biodiverse landscapes. In Sweden, some 300,000 individuals and families own about 50% of the forestland that spans across two-thirds of the country. These family forest owners will need to undertake the preponderance of actions for creating more biodiverse forests in Sweden. In an interdisciplinary project funded by the Marianne and Marcus Wallenberg Foundation, we pose three specific research questions: What salient elements in cognitive models represent family forest owners’ perceptions and judgement strategies about forest biodiversity on their ownerships? Do family forest owners have the capability, opportunity and motivation to change towards biodiversity-enhancing forest management behaviors? Can interventions providing financial compensation encourage family forest owners’ change toward adopting biodiversity-enhancing forest management behaviors? To help answer these questions, we seek to recruit a postdoctoral researcher to join researchers in applied economics, psychology, and forestry. The candidate will support the integration of behavioral science principles and natural resource management knowledge into relevant research designs; developing research questions; applying appropriate analytical methods; and writing scientific manuscripts. This is a two-year full-time post. A specific task is the development of protocols to engage in interviews with family forest owners, support data collection, and lead analyses. The workplace is the SLU campus in Umeå. Your profile An eligible candidate should hold a Ph.D. obtained within the last three years in a relevant field (e.g. applied economics, cognitive sciences, psychology), or a strong interdisciplinary program. In exceptional circumstances, the degree may have been obtained earlier. Exceptional circumstances include leave of absence due to illness, parental leave, positions of trust within trade unions, service in the armed forces, or other similar circumstances, as well as clinical service or service/assignments relevant to the subject area. Applicants are expected to demonstrate excellent communication skills in English, both written and spoken, and a clear motivation to pursue an academic career. The ability to work independently, show initiative, and collaborate effectively in interdisciplinary and international research environments is essential. Additional merits include demonstrated ability to integrate behavioral concepts into decision-making research, experience in writing scientific manuscripts, and advanced, documented proficiency in R, Stata, or similar analytical software used for modeling. Further advantages include working knowledge of Swedish and experience in conducting surveys and/or interviews as data collection methods. About us The Department of Forest Bioeconomy and Technology at SLU brings together broad expertise in engineering, natural sciences and social sciences. By integrating interdisciplinary perspectives, we conduct research spanning the entire forest value chain, and explore how raw materials, materials, processes, and systems can be developed to contribute to the sustainable development of forest resources and a circular bioeconomy. The Department is located on campuses in both Umeå and Uppsala. For more information about the department or division visit: https://www.slu.se/om-slu/organisation/institutioner/skoglig-bioekonomi-och-teknologi/?gad_source=1&gad_campaignid=21086656031&gclid=EAIaIQobChMIwMj3yOmalQMVdluRBR3n7yxAEAAYASAAEgKD_fD_BwE Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Umeå, Sweden. Form of employment: Temporary employment 24 months. Scope: 100% Start date: As soon as possible, negotiable, upon agreement. Application: We welcome applications until 30 September 2026 using the button below. Candidates are encouraged to review research by Francisco X. Aguilar, Professor (available https://www.slu.se/en/profilepages/c/francisco-aguilar/ and on https://scholar.google.com/citations?user=GD4lKi8AAAAJ&hl=en), and coinvestigator Linus Andersson, Associate Professor, Docent (available https://www.umu.se/personal/linus-andersson/ and on https://scholar.google.se/citations?user=TzmSEKsAAAAJ&hl=sv&oi=sra). Please read an overview of the project available https://mmw.wallenberg.org/en/project/how-private-forest-owners-choices-shape-swedens-forest-biodiversity before applying. Applicants must submit: a CV a two-page research statement describing how the candidate can be an integral part of the team answering the three specific research questions copies of degrees and transcripts of all academic records contact information for at least two referees familiar with the applicant's qualifications certified knowledge of the English language, and current knowledge of the Swedish language if relevant, copies of scholarly publications. Final selection will be conducted after an interview. By the time of the interview, shortlisted applicants shall provide certified true copies of certificates, diplomas and transcripts from previous studies at an internationally recognized higher education institution (university or university college) and transcripts. If the applicant is a foreign citizen, SLU requires a certified copy of the passport page disclosing personal data and photograph. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/