Junior Research Group Leader UGOE/(NET) (all genders welcome)

IT-Systemhaus der Bundesagentur für Arbeit; Göttingen; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

Eine Forschungseinrichtung sucht einen erfahrenen Junior Research Group Leader, der moderne KI und netzwerkbasierte Methoden zur Förderung wissenschaftlicher Erkenntnisse erforschen wird. Die Rolle umfasst das Leiten von Forschungsprojekten, die Betreuung von Doktoranden sowie die Akquisition von Drittmitteln. Ideale Bewerber haben einen Ph.D. in Informatik oder einem verwandten Bereich, ausgezeichnete Publikationen und starke Team- und Führungskompetenzen.

Leistungen

Familienfreundliche Arbeitsumgebung

Moderne computergestützte Infrastruktur

Flexible Arbeitszeitmodelle

Qualifikationen

• Erforderliche Postdoktoranden-Erfahrung mit Neigung zur Eigenverantwortung.
• Exzellente Publikationsliste im Vergleich zur Karriere.
• Motivation zur Führung einer unabhängigen Forschungsgruppe.

Aufgaben

• Leitung einer Junior Research Group mit Fokus auf moderne KI.
• Akquisition und Management von Drittmittel-Projekten.
• Beitrag zu interdisziplinären Forschungsaktivitäten.

Kenntnisse

Natursprachliche Verarbeitung

Computational Social Science

Datengetriebenes Modellieren

Netzwerkanalyse

Simulation und hybrides Modellieren

Führungskompetenz

Teamfähigkeit

Exzellente Kommunikationsfähigkeiten in Englisch

Ausbildung

Ph.D. in Informatik oder einem verwandten Bereich

Jobbeschreibung

Junior Research Group Leader UGOE/(NET) (all genders welcome)

Junior Research Group Resources:

• Funding for Junior Research Group leader's position as research staff (TV-L E14, 100%) for two years
• Budget for travel and other costs
• Administrative support through the Secretary of Computer Networks Group
• Access to the excellent research infrastructure of the Göttingen Campus

The Junior Research Group will focus on modern AI and network-based methods for understanding and advancing scientific knowledge creation, with particular attention to how language, social structure, and data-driven systems shape innovation outcomes. The position includes a teaching load of 4 semester hours (SWS) per week, primarily in graduate courses. The successful candidate will also contribute to acquisition and management of third‑party research projects.

Core research themes include:

• Data‑driven modeling of scientific and innovation ecosystems, including funding systems, research collaboration networks, and knowledge diffusion
• AI and NLP methods for scientific texts, such as grant proposals, research articles, and technical documentation
• Network-based and simulation-based models of knowledge evolution, novelty, and structural change
• Hybrid approaches combining machine learning with domain knowledge, especially in socio-technical systems
• Applications in research evaluation, funding allocation, and technology transfer, with empirical grounding in large-scale real-world datasets

These research directions align closely with ongoing activities in the Computer Networks Group, while also strengthening Göttingen’s interdisciplinary ecosystem through CIDAS, social sciences, and the broader scientific campus.

Technical and Academic Qualifications:

• A Ph.D. in Computer Science or a closely related field, with specialization in AI, computational modeling, or data-driven analysis of complex systems
• An excellent publication record relative to career stage, including publications in top‑tier interdisciplinary, AI, and science‑focused venues
• Demonstrated expertise in several of the following areas:
• Natural Language Processing and modern AI architectures
• Computational social science and network analysis
• Data-driven modeling of scientific and innovation systems
• Large-scale empirical analysis of socio-technical data
• Simulation and hybrid modeling approaches

Postdoctoral experience is required, with a strong preference for candidates who are currently holding or have held an independent postdoctoral position, such as Research Assistant Professor, Senior Researcher, or equivalent, demonstrating the ability to pursue an autonomous research agenda.

• Strong motivation to build and lead an independent research group
• Enthusiasm for interdisciplinary collaboration
• Team skills and leadership competence
• Excellent communication skills in English
• Commitment to supervising and mentoring doctoral students

We offer:

• An outstanding scientific environment with access to state-of-the-art computing infrastructure
• Integration into the interdisciplinary research environment in Göttingen with partners from computer science, social sciences and humanities, and life sciences
• Opportunity for close collaboration with the Campus Institute Data Science (CIDAS), University Medical Center Göttingen, State and University Library (SUB), several Max Planck Institutes
• Opportunities to actively participate in the strategic development of the Computer Networks Group
• Support in acquiring third‑party funding and building international collaborations
• A family-friendly work environment with flexible working time models
• The benefits of a historic university town with high quality of life

Your application should contain the following documents:

• Cover letter presenting your research vision
• CV with complete publication list
• Brief description of previous and planned research activities (max. 3 pages) and teaching plan (max. 2 pages)
• Contact details of two referees
• Copies of relevant certificates and diplomas