Duties primarily include teaching and research. Research associates may also pursue further academic qualifications outside of their work responsibilities.
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. As Technical Lead, your role encompasses guiding the team of research software engineers from a technical perspective. You ensure sustainable software design, establish architectural patterns, and enable scalability of solutions. Based on extensive experience, you will also drive research projects and support the ongoing development of HCDS.
Specific Duties
leading the team of research software engineers
consulting for scientists of all faculties about possibilities, requirements and implementations of data science and general digital solutions for research
planning, implementation, maintenance, and quality assurance 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
DevOps tasks within the scope of application development
work at the interdisciplinary intersection within the scope of application development and strategic development of (international) cooperation
teaching 4 hours per week (4 LVS)
A university degree in a relevant field, plus doctorate.
extensive experience in technical multi-project management
experience in leading large, international teams of researchers in academic workshops, conferences, and shared tasks
extensive track record of impactful research in the area of NLP, Data Science, and applications of AI in humanities and beyond
multilingual and multimodal research experience, both for high and low-resource languages
participation in international committee for research, training, and development
experience in DevOps, MLOps, and Cloud infrastructure
showcased research on the state of the art methods in machine learning (esp. transformer models) for multiple years
excellent programming knowledge in python and other relevant languages
extensive experience in Data Management and Data Engineering
expertise and ongoing interest in interdisciplinary research on digitalization challenges
intermediate German language skills (B1) and fluency in English is required
Stellenmerkmale
Dein Beschäftigungsumfang
Vollzeit (unbefristet)
Dein Gehalt
E14
Dein Arbeitsplatz:
z.T. im Homeoffice
Dein Büro:
Raum Hamburg