Research Associate as Research Software Engineer § 28 Subsection 3 HmbHG

University of Hamburg; Hamburg; Sur place; EUR 47 000 - 60 000; Plein temps

Avantages offerts par ce poste

30 Tage Urlaub p.a.

Flexible Arbeitszeiten

Betriebliche Altersvorsorge

Gesundheitsmanagement

Résumé du poste

Universität Hamburg—University of Excellence sucht am Hub of Computing and Data Science (HCDS) eine/einen Data-Science-Consultant mit Fokus auf datengetriebene Lösungen. Sie beraten Wissenschaftlerinnen und Wissenschaftler, analysieren Anforderungen und gestalten robuste Software für Forschung und Infrastruktur.

Sie bringen fundierte Kenntnisse in Python, ML/Transformer-Modellen und Dateninfrastruktur mit. Flexible Arbeitszeiten und eine exzellente Forschungsumgebung runden das Angebot ab.

Qualifications

• Universitätsabschluss in einem relevanten Fach mit starkem Anteil an Data Analytics bzw. Softwareentwicklung.
• Programmierkenntnisse, idealerweise Python.
• Erfahrung in ML/Transformer-Modellen, Data Science und Infrastrukturthemen.

Responsabilités

• Beratung von Wissenschaftlerinnen und Wissenschaftlern zu datengetriebenen Lösungen.
• Bedarfsanalyse mit Nutzerinnen/Nutzern aus verschiedenen Fachrichtungen.
• Planung, Implementierung und Wartung von Data-Science-Software.
• Entwicklung datenbasierter Systeme von Analytik bis multimodale Modelle.
• Nutzerfreundliche Oberflächen in Abstimmung mit Fachbereichen erstellen.
• Evaluation und Qualitätssicherung der Anwendungen; DevOps-Aufgaben.

Connaissances

Python

Transformer Models

RAG & Multi-Agent

Databases & Data Engineering

Search Infrastructure

Knowledge-based Systems

Data Visualization

Frontend Development

Formation

Abschluss in Informatik/Data Science/Information Systems

Outils

Docker

PostgreSQL

Elasticsearch

Jupyter Notebooks

Description du poste

InstitutionHub of Computing and Data Science (HCDS)

Salary levelEGR. 13 TV-L

Start date01.01.2027, fixed until 31.12.2028 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline05.11.2026

Scope of workfull-time position suitable for part-time

The Hub of Computing and Data Science (HCDS) is a competence unit for research and forms the core element for the central support of digitalization and digital transformation in research at the University of Hamburg.

Your responsibilities

• consulting for scientists of all faculties about possibilities and implementations of data science and general digital solutions for research
• requirements analysis with the prospective users (researchers of all fields)
• planning, implementation and maintenance of data science software
• development of all kinds of data-driven systems, all the way from advanced data analytics to multimodal transformer models
• creation of user-friendly interfaces tied to expertise and needs of the users
• analysis and recommendation of state-of-the-art technologies for both models and infrastructure
• evaluation and quality assurance of the applications
• DevOps tasks within the scope of application development
• analysis and recommendation of state-of-the-art technologies for both models and infrastructure
• evaluation and quality assurance of the applications
• work at the interdisciplinary intersection within the scope of application development

Your profile

A university degree in a relevant field with a high share of data analytics and/or software development, esp. computer science, data science or information systems.

• programming knowledge (preferably in Python)
• experience with one or more of the following:
• Machine Learning (esp. transformer models)
• RAG and multi agent infrastructures
• Databases and Data Engineering
• Infrastructure for search
• Knowledge-based systems
• Data visualization
• Frontend development
• interest in interdisciplinary research on digitalization challenges
• interest and expertise in interdisciplinary research
• knowledge about Elasticsearch, Jupyter Notebooks, Docker and PostgreSQL is advantageous
• knowledge about DevOps, MLOps and Cloud Infrastructure is advantageous

We offer

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work-life balance opportunities
• Health management, EGYM Wellpass
• Educational leave
• 30 days of vacation per annum

Universität Hamburg—University of Excellence

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.

The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Notice regarding the background check under Section 34a of the Hamburg security clearance act (Gesetz zur Regelung der Sicherheitsüberprüfungen, HmbSÜG): On behalf of the person chosen in the selection procedure, this office submits an inquiry to the state office for the protection of the constitution (Landesamt für Verfassungsschutz) regarding any available findings/information which meet the statutory requirements (background check and data protection information).

Location

Albert-Einstein-Ring 8-10

22761 Hamburg

More information on data protection in selection procedures.