Job
- Level
- Experienced
- Job Field
- IT, Data, System
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Mannheim
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop the AI infrastructure, support the implementation of large language models, and manage server and database infrastructures while providing analytical data support and IT assistance for the team.
Job Technologies
Your role in the team
- You will oversee and develop the MZES's AI infrastructure (the primary focus of the position): advising researchers on the use of large language models (BERT, GPT variants, Llama, among others), supporting project-specific setup of computations on the MZES HPC, presenting the infrastructure internally, and working on its strategic further development in alignment with the AI strategy of the university, the state of Baden-Württemberg, and the federal government.
- You will assist in managing the MZES server infrastructure: Linux and Windows servers, virtual machines (VMware vSphere), HPC resources, backup (Veeam), monitoring, as well as contributions to IT security and web server hardening.
- You support the IT support for the employees of the MZES: setting up clients and software (Microsoft 365, R/RStudio, among others), license and software management, as well as maintaining conference room technology — insofar as not covered by the central UNIT.
- You participate in data-driven processes: maintaining the MZES databases (employees, projects, publications), automating recurring analyses, assisting with employee surveys, and co-managing the MZES intranet (Typo3).
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Our expectations of you
Education
- At least a completed Bachelor's degree / university degree in Computer Science or a comparable qualification.
Qualifications
- Knowledge in data analysis, artificial intelligence, and data science – especially in machine learning and working with large language models (e.g., BERT, GPT variants).
- Good knowledge of Linux (server environment) and Bash/Shell as well as a basic understanding of CPU/GPU parallelization.
- Excellent knowledge in, for example, Python as well as in common development environments (e.g., VSCode) and Git/GitHub.
- Good communication and coordination skills, as well as good spoken and written English and German.
- Independent, analytical, and conceptual working style as well as the willingness for continuous further training.
- Advantageous: Basic understanding of interdisciplinary research designs and methods (e.g., Computational Social Science).
- Knowledge of Windows system administration, Active Directory, as well as VMware environments and Veeam backups.
- Knowledge of Content Management Systems (especially Typo3), PHP, SQL/MariaDB, as well as HTML/CSS.
- Basic statistical knowledge for the analysis of survey data.
Experience
- Experience with monitoring solutions (e.g., Nagios, Check_MK) and IT security techniques.
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What we offer
- A technically and content-wise versatile position at the intersection of AI, IT, and cutting-edge social science research.
- Participation in the development of a decentralized AI infrastructure - with the clear goal of establishing the MZES as an AI hub in social science research.
- Embedded in a team consisting of IT, data and methodology units, as well as researchers from sociology, political science, communication science, psychology, and economics.
- Flexible working models and the possibility to work both on-site and remotely in a hybrid model.
- Diverse training and development opportunities to keep pace with developments in the field of AI.
- Remuneration according to E 12 TV-L BW including the usual social benefits of the public service (e.g., annual special payment, supplementary pension scheme).
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Benefits
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
This is your employer
Universität Mannheim
Die Universität Mannheim ist eine Universität im baden-württembergischen Mannheim und zählt – 1907 als städtische Handelshochschule gegründet und 1967 in Universität umbenannt – zu den jüngeren Universitäten Deutschlands.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Education System
IT/AI staff
- Location
- Mannheim
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
