The University of Stuttgart represents outstanding, world-renowned research and first-class teaching in one of Europe's most dynamic industrial regions. As a reliable employer, the university supports and promotes the academic careers of its researchers. It is proud of its employees, who currently come from over 100 different countries. The university is a partner for knowledge and technology transfer and focuses on multidisciplinary.
The Data Engineering department at the University of Stuttgart is regularly looking for new members to join its team. Current openings are described below.
Applicant profile
- You are passionate about delving into new problems and tackling challenges that arise in the context of data-driven processes?
- You are interested in questions around the preparation, cleaning, integration, massaging, or otherwise wrangling with and managing large and complex data and eager to devise novel solutions to advance the state-of-the-art in these areas?
- You appreciate the beauty of solid foundations and general algorithms, yet with a clear practical context in a variety of applications?
- You work independently, methodologically, and organize your work efficiently and effectively?
- You look forward to working in an inspiring, international, and interdisciplinary environment offered by the Data Engineering team and the University of Stuttgart?
- You enjoy contributing to the education of the next generation of computer scientists by participating in the group’s teaching activities?
- You have a very good Master's degree in Computer Science, are proficient in German and/or English (written and spoken), have a background in data management, databases, or information systems, and have demonstrated advanced programming skills?
Then, you could soon be the next member of the Data Engineering team.
Position profile
Our research is centered around questions about the management and processing of diverse kinds of digital data to make them ready for decision-making or gaining new insights, which commonly requires high-quality data. Thereby, data engineering is the basis for many data-driven approaches, including Data Science or Machine Learning. In this context, we contribute foundations, algorithms, and systems for various data engineering problems. We also cover these topics in our faculty's different computer science study programs.
The research to be conducted relates to one of the four core research areas the Data Engineering group currently pursues, namely data transparency, data wrangling, data exploration and analytics, and complex data processing. You can find out more about these on the group’s website. The position also offers the opportunity to participate in the Clusters of Excellence on Data-Integrated Simulation Science (SimTech) or Integrative Computational Design and Construction for Architecture (IntCDC). We also expect participation in our teaching activities, for instance in giving tutorials or advising student projects.
We have one position to fill as soon as possible. The fully funded position is a research assistant position (TV-L 13), amounting to roughly 4100 Euro per month gross salary on a full-time basis. The positions can be filled by a doctoral student, either full-time or part-time.
Interested?
We look forward to receiving your application documents in a single PDF. These should at least include a CV, transcripts, a 1-page summary of your Master's thesis topic, and possibly links to code repositories or other demonstrations of your software engineering skills. Please send your application by email to Prof. Dr. Melanie Herschel, including the posting reference DE-PHD24-1 in the subject line. If you have further questions, please contact her via email as well. We accept applications until the positions are filled.
Applicant profile
- You are passionate about delving into problems and tackling challenges to shape the future of Architecture, Engineering, and Construction (AEC), one of the largest industries in the global economy?
- You are eager to devise novel solutions to advance the state-of-the-art in the preparation, cleaning, integration, and management of complex and multi-modal data?
- You appreciate the beauty of solid foundations and general algorithms, yet enjoy implementing them in a practical context?
- You work independently, methodologically, and organize your work efficiently and effectively?
- You look forward to working in an inspiring, international, and interdisciplinary environment offered by the Data Engineering team and the University of Stuttgart?
- You have a very good Master degree in Computer Science, are proficient in English (written and spoken), have a background in data management, databases, or information systems, and have demonstrated advanced programming skills?
Then, you could soon be the next member of the Data Engineering team.
Position profile
Within the Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC), we investigate how to obtain and leverage a unified view of a construction project that bridges the different phases of a building process (e.g., design, prefabrication, construction). A successful candidate will investigate how to create data management solutions that perform data preparation and integrate data from multiple phases of the building process, thereby supporting co-design based on artificial intelligence (AI).
The open position is a part-time (50%) funded research associate position (TV-L 13), amounting to roughly 2100 Euro per month gross salary. The position can be filled by a doctoral student.
Interested?
We look forward to receiving your application documents in a single PDF. These should at least include a CV, transcripts, a 1-page summary of your Master's thesis topic, and possibly links to code repositories or other demonstrations of your software engineering skills. Please send your application by email to Prof. Dr. Melanie Herschel, including the posting reference DE-IntCDC-24-1 in the subject line. If you have further questions, please contact her via email as well. We accept applications until the positions are filled.
Applicant profile
- You are passionate about delving into problems and tackling challenges to shape the future of Simulation Science for a large variety of engineering applications?
- You are eager to devise novel solutions to advance the state-of-the-art in simulation model selection and parameterization?
- You appreciate the beauty of solid foundations and general algorithms, yet enjoy implementing them in a practical context?
- You work independently, methodologically, and organize your work efficiently and effectively?
- You look forward to working in an inspiring, international, and interdisciplinary environment offered by the Data Engineering team and the University of Stuttgart?
- You have a very good Master degree in Computer Science, are proficient in English (written and spoken), have a background in data management, databases, or information systems, and have demonstrated advanced programming skills?
Then, you could soon be the next member of the Data Engineering team.
Position profile
Within the Cluster of Excellence on Data-Integrated Simulation Science (SimTech), we explore how to leverage metadata and provenance collected a priori and during the execution of a simulation based on differential equation models, with the goal of using these to adapt, improve, and predict the simulation performance. A successful candidate will investigate algorithms and system components for simulation model selection and parameter tuning for a variety of simulation pipelines targeting applications with different requirements.
The open position is a fully funded research associate position (TV-L 13), amounting to roughly 4100 Euro per month gross salary on a full-time basis. The position can be filled by doctoral students as well as postdoctoral students, either full-time or part-time.
Interested?
We look forward to receiving your application documents in a single PDF. These should at least include a CV, transcripts, a 1-page summary of your Master's thesis topic, and possibly links to code repositories or other demonstrations of your software engineering skills. Please send your application by email to Prof. Dr. Melanie Herschel, including the posting reference DE-SimTech-24-1 in the subject line. If you have further questions, please contact her via email as well. We accept applications until the positions are filled.
Applicant profile
- You are passionate about delving into new problems and tackling challenges that arise in the context of data-driven processes?
- You are interested in applications around the preparation, cleaning, integration, massaging, or otherwise wrangling with and managing large and complex data?
- You are eager to contribute to the development and deployment of innovative software solutions in these areas?
- You are not afraid of delving into existing code bases in order to understand and extend them?
- You have prior programming experience in at least two programming languages and are familiar with cooperative coding, for instance, via git?
- You have demonstrated a very good level in programming and software engineering concepts, as well as in databases, and have ideally completed your Bachelor's degree with a good or very good grade?
- You work independently, methodologically, and organize your work efficiently and effectively?
- You look forward to working in an inspiring, international, and interdisciplinary environment?
Then, you could soon be the next member of the Data Engineering team.
Position profile
We have several positions available, dedicated to supporting our research staff in their various projects. These projects generally fall in the areas of data transparency, data wrangling, data processing and analytics, and complex data processing (see our website). Some of these projects also relate to one of the Clusters of Excellence at the University of Stuttgart (EXC SimTech and EXC IntCDC).
We are seeking applications for student research assistant positions to support the development of data engineering research software. Typical tasks include identifying existing algorithms or libraries that can be applied, implementing or using these, testing their functionality, and supporting the evaluation of scientific experiments.
The positions follow the state regulations for student research assistant positions (Wissenschaftliche Hilfskräfte). Funding is available for up to 80 hours/per month; we expect a minimum of 32 hours per month. Given the interdisciplinary context and larger-scale software the student will work on, we consider students with a completed Bachelor's degree as better qualified. However, we will consider applications of excellent Bachelor students as well.
Interested?
We look forward to receiving your application documents in a single PDF. These should at least include a CV, transcripts, a 1-page motivation letter, and possibly links to code repositories or other demonstrations of your software engineering skills. Please send your application by email to Prof. Dr. Melanie Herschel. If you have further questions, please contact her via email as well. We accept applications until the position is filled.
At the University of Stuttgart, we actively promote diversity among our employees. We have set ourselves the goal of recruiting more women scientists and employing more people with an international background, as well as people with disabilities. We are therefore particularly pleased to receive applications from such people. Regardless, we welcome any good application.
Women who apply will be given preferential consideration in areas in which they are underrepresented, provided they have the same aptitude, qualifications and professional performance. Severely disabled applicants with equal qualifications will be given priority.
As a certified family-friendly university, we support the compatibility of work and family, and of professional and private life in general, through various flexible modules. We have an employee health management system that has won several awards and offers our employees a wide range of continuing education programs. We are consistently improving our accessibility. Our Welcome Center helps international scientists get started in Stuttgart.
Information in accordance with Article 13 DS-GVO on the processing of applicant data can be found here.