Research Assistant

Job Details

Registration number: fb12-0015-wmz-2026

Entry date: as soon as possible

Final date to receive applications:

Salary: E 13 TV-H

Duration: 2 years

Volume of employment: fulltime

The Department of Mathematics and Computer Science, Artificial Intelligence:
Multimodal Modelling and Machine Learning (Ewerth Research Group) is currently accepting applications for a Research Assistant. The position focuses on research software engineering and is offered for a period of 2 years at full time with a salary and benefits commensurate with a public service position in the state of Hesse, Germany (TV-H E 13). The externally funded project "Science‑Supporting Recommendation System for Reviewers (WISENT)" focuses on developing an open recommendation system for reviewers, designed to meet real‑world requirements of the publication process.

The prototype will be made freely available as a service and will include an implementation for Open Journal System.

• Development of high‑performance recommendation algorithms that combine semantic text analysis and bibliometric methods for identifying reviewers
• Implementation and improvement of bibliometric and network analysis methods (citation networks, co‑author networks) in accordance with defined requirements
• Evaluation of the algorithms and system components using established evaluation metrics
• Design and implementation of a REST API and a web interface to enable editors and editorial teams to use the recommendation system
• Prototype implementation and evaluation of database architectures (PostgreSQL, Neo4j) in close consultation with the SLUB to implement its specifications
• Documentation of the system architecture, API specifications and technical components to support reuse by partners

• MSc‑degree or equivalent in Computer Science, Information Science or a related subject, with a very good or good grade
• In‑depth knowledge of natural language processing and/or machine learning methods for text and data analysis; familiarity with scientific information systems is desirable
• Solid programming skills in Python and SQL; proven experience with common ML frameworks
• Proven experience in developing web applications using APIs and database‑driven systems (SQL) in professional contexts; experience with graph databases (e.g. Neo4j) is an advantage
• Strong communication and teamwork skills, demonstrated through previous collaboration with interdisciplinary research teams or external partners/clients
• Commitment to open‑source development and open scientific infrastructures

• Options for remote work
• Flexible working hours
• Ticket for free use of public transport in the state Hesse, Germany
• Family support services
• University sports programmes
• Company pension scheme (VBL)

Dr. Anett Hoppe
+49 6421‑28 25621
anett.hoppe@uni‑

We support women and strongly encourage them to apply. In areas where women are underrepresented, female applicants will be preferred in case of equal qualifications. As a certified family‑friendly university, we support our employees in balancing family and career. A reduction of working time is possible.

Applicants with a disability, as described in the Social Security Code (Section 2(2) and (3) of Book IX of the Social Security Code (SGB IX)), will be preferred in case of equal qualifications. Application and interview costs cannot be refunded.