ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig. It is one of five new AI centers in Germany funded under the federal government’s AI strategy and is established as a permanent research facility with currently more than 60 PIs. To promote research excellence in the field of AI and data science, ScaDS.AI supports early career researchers in this field that complement and extend our current research areas. As a modern employer, TU Dresden (TUD), offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Center for Interdisciplinary Digital Sciences, Department ScaDS.AI, the Junior Research Group „Situating AI-based Mentoring“ offers a position as

Research Associate (m/f/x)
AI-research associate in educational contexts
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L )

starting as soon as possible with a duration of 12 to 36 months. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). Balancing family and career is an important issue. The position is generally suitable for candidates seeking part-time employment. Please indicate your request in your application.

Tasks: The applicants should dispose of research work on interactive and/or AI-based systems. They investigate frameworks, tools and models including analyses of machine learning algorithms. As part of an interdisciplinary research group, they design and implement AI systems to solve real-world problems in educational contexts, train, optimize and maintain AI models, improve existing AI models and applications and find solutions to build powerful end-user tools.

Further information on the focal points in the competence center can be found at https://www.scads.ai/nachwuchsforschungsgruppen.

Requirements: Researchers (university degree in a field suitable for the activity) with a proven research track record in data science and AI. Applicants require strong background in algorithms, machine learning, neural networks, data structures, and programming languages such as Python, Java, CSS. Proficiency in AI technology such as Natural Language Processing (NLP) is essential. Knowledge of ChatGPT and ActivityPub is desired. Experience developing and deploying AI solutions is preferred, as is understanding of applicability in the context of real-world applications and working in interdisciplinary teams. 

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Please submit your comprehensive application (including Cover Letter; detailed CV, including list of publications, work in progress, AI experience and two letters of reference) under the job ID "JRG 002 1" by May 4, 2023 (arrival date at the university applies) preferably via the SecureMail Portal of the TU Dresden https://securemail.tu-dresden.de as one PDF document to scads.ai@tu-dresden.de or to: TU Dresden, ScaDS.AI, z. Hd. Dr. Sandra Hummel, Helmholtzstr. 10, 01069 Dresden, Germany. Expenses incurred in attending interviews cannot be reimbursed.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis