Research Associate „Scientific software developer

vor 1 Woche


Hamburg, Deutschland Universität Hamburg Vollzeit

Research Associate „Scientific software developer & consultant for data science applications“ § 28 Subsection 3 HmbHGInstitutionHub of Computing and Data Science (HCDS)Salary levelStart dateas soon as possible, 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 deadline24.12.2025Scope of workfull-time position suitable for part-timeYour responsibilitiesDuties primarily include research. Research associates may also pursue independent research and further academic qualifications. 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. Specific Duties 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 profileA university degree in a relevant field. a university degree in a relevant field with a high share of data analytics and/or software development programming knowledge (preferably in Python) experience with one or more of the following: Machine Learning (esp. transformer models) Databases and Data Engineering Infrastructure for search Knowledge-based systems Data visualization 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 offerReliable remuneration based on wage agreementsContinuing education opportunitiesUniversity pensionsAttractive locationFlexible working hoursWork-life balance opportunitiesHealth management, EGYM WellpassEducational leave30 days of vacation per annumUniversität 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.



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