Wissenschaftliche*r Mitarbeiter*in im Bereich Künstliche Intelligenz – Multimodale Modellierung und Maschinelles Lernen

Position Summary

The Philipps-Universität Marburg, established in 1527 and serving approximately 22,000 students, is seeking a Research Software Engineer for a two-year, full-time limited position in the Department of Mathematics and Computer Science, focusing on Artificial Intelligence – Multimodal Modeling and Machine Learning (AG Ewerth). This role is funded through third-party resources, classified under pay group E13 TV-H, and is available immediately.

Project Overview

The position involves contributing to the "Wissenschaftsunterstützendes Empfehlungssystem für Gutachterinnen (WISENT)" project, which aims to develop a prototype for an open recommendation system tailored for reviewers, addressing real publication process needs. The system targets scientific and technical communities, aiding journal editors in identifying expert reviewers for individual submissions. This identification is especially challenging for independent publishing venues. The prototype will be made freely available as a service, and integration with Open Journal Systems, a widely used journal platform, will be implemented.

Key Responsibilities

• Develop high-performance recommendation algorithms combining semantic text analysis and bibliometric approaches for reviewer identification.
• Implement and optimize bibliometric and network analysis methods, including citation and co-author networks, following specified requirements.
• Evaluate algorithms and system components using established evaluation metrics.
• Design and build a REST API and a web interface for editors and editorial teams to utilize the recommendation system.
• Prototype and assess database architectures using PostgreSQL and Neo4j, coordinating closely with SLUB to meet their specifications.
• Document system architecture, API specifications, and technical components to facilitate reuse by partners.

Scientific Contribution

The project offers opportunities for scientific work relevant to the position, with arrangements to enable research outcomes to contribute to personal academic qualification beyond working hours. The fixed-term contract complies with § 2 Abs. 1 WissZeitVG.

Requirements

• Completed degree (Diplom, Master, or equivalent) in Computer Science, Information Science, or a related field, with good to very good academic standing.
• Strong expertise in Natural Language Processing and/or machine learning techniques for text and data analysis; familiarity with scientific information systems is beneficial.
• Proven programming skills in Python and SQL, along with experience using machine learning frameworks.
• Experience developing web applications with APIs and database-backed systems (SQL); knowledge of graph databases like Neo4j is advantageous.
• Excellent communication and collaboration abilities demonstrated through interdisciplinary team projects or collaboration with external stakeholders.
• Commitment to open-source development and open scientific infrastructures.

Benefits

• Option for mobile working
• Flexible working hours
• Free public transportation within Hesse (Landesticket)
• Family support services
• Access to university sports programs
• Company pension scheme (VBL)

Additional Information

The university actively promotes gender equality and strongly encourages women to apply, particularly in underrepresented areas where women receive preferential consideration given equal qualifications. The institution supports work-life balance, including options for reduced working hours. Persons with disabilities are given preferential treatment as defined under SGB IX § 2 Abs. 2 and 3. Travel and interview expenses will not be reimbursed. Applications are accepted until August 2, 2026, via the official application channel specified.

Contact

Dr. Anett Hoppe
Phone: +49 6421-28 25621
Email: anett.hoppe@uni-marburg.de