As part of Germany's national artificial intelligence strategy, the ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is expanding into a leading AI competence center for Big Data and Artificial Intelligence. The center is jointly located at the University of Leipzig and TUD Dresden University of Technology, bringing together over 150 staff members at each site. ScaDS.AI offers a vibrant, multidisciplinary research environment within a structured graduate school focused on the fundamentals and applications of data science and artificial intelligence. PhD students at ScaDS.AI engage in cutting-edge research across a broad spectrum of AI topics, including AI theory, hardware, mathematical foundations, applications, and societal aspects. The program is highly interdisciplinary, with opportunities to collaborate with partner organizations from both academia and industry. Students benefit from access to state-of-the-art technologies and outstanding high-performance computing infrastructure, supporting scalable AI research. The position is offered by the Center for Interdisciplinary Digital Sciences (CIDS) and ScaDS.AI Dresden, and is suitable for candidates seeking part-time employment or balancing family and career. The employment is limited to three years, governed by the Fixed Term Research Contracts Act (WissZeitVG), and aims at obtaining further academic qualification (usually a PhD). The structured PhD program is designed to enable completion of a doctoral thesis within three years, with regular feedback, reading groups, summer schools, specialized courses, lecture series, and soft skill training. International orientation is emphasized, including guest programs for research stays abroad and mentoring by two principal investigators. Applicants must hold an outstanding university degree (typically M.Sc.) in Computer Science, Data Science, Statistics, Mathematics, or a related field, with a good GPA and degree completed before July 2025. Strong programming skills and AI/ML knowledge are essential, along with good written and spoken English skills (CEFR level C1 or higher). Non-native speakers must provide proof of English proficiency (e.g., TOEFL, IELTS, CAE) not older than 12 months, unless exempted by prior education in Germany. Required application documents include a master certificate and transcript of records (with official translation if not in German or English), curriculum vitae (PDF), research statement (motivation and topics of interest, max 3 positions), and contact information for two references. The position offers full funding according to salary group E 13 TV-L, with a minimum monthly gross salary of about 4,500 Euro (full time) for three years. The university is committed to diversity and family-friendly policies, and encourages applications from women and candidates with disabilities. If multiple candidates are equally qualified, those with disabilities or equivalent status will receive priority for employment. Applications should be submitted as a single PDF file quoting job number w25-063 by January 5, 2026, preferably via the TUD SecureMail Portal or by email to Prof. Dr.-Wolfgang E. Nagel at [email protected]. For more information about available topics and supervisors, visit scads.ai/positions2025 . Further details on data protection are available at tu-dresden.de/karriere/datenschutzhinweis .

The ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is expanding as part of Germany's national AI strategy, offering a dynamic and interdisciplinary research environment at both the University of Leipzig and TUD Dresden University of Technology. With over 150 staff members at each location, ScaDS.AI is recognized as a leading German competence center for Big Data and Artificial Intelligence, fostering collaboration across disciplines and with numerous industry and scientific partners. This PhD student position is offered within the Center for Interdisciplinary Digital Sciences (CIDS) and ScaDS.AI Dresden, providing a structured graduate program focused on the fundamentals and applications of data science and artificial intelligence. Research topics span a broad spectrum, including AI theory, hardware, mathematical foundations, practical AI applications, and societal impacts of AI. The program is designed to enable completion of a doctoral thesis within three years, with the location (Dresden or Leipzig) determined by the assigned research topic. Successful candidates will join a vibrant, international research community and benefit from access to state-of-the-art technologies and high-performance computing infrastructure. The program includes regular feedback mechanisms, reading groups, summer schools, specialized courses, lecture series, and soft skill development. International orientation is emphasized, with opportunities for research stays abroad and mentoring by two principal investigators. Applicants must hold an outstanding university degree (typically M.Sc.) in Computer Science, Data Science, Statistics, Mathematics, or a closely related field, with a good GPA and degree completed before July 2025. Strong programming skills and expertise in AI/ML are essential, along with excellent English proficiency (CEFR level C1 or higher). Non-native speakers must provide recent proof of English language skills unless exempted by prior education in Germany. The position is fully funded according to TV-L E13, with a minimum monthly gross salary of about 4,500 Euro (full time) for three years. The program supports work-life balance and is suitable for candidates seeking part-time employment. TUD Dresden University of Technology is committed to diversity and encourages applications from women and candidates with disabilities, offering a family-friendly environment and prioritizing qualified candidates with disabilities in the selection process. To apply, submit a single PDF file including your master certificate, transcript of records (with official translation if necessary), CV, research statement (indicating motivation and preferred research topics), and contact information for two references. Non-native speakers should include proof of English proficiency. Applications should be sent via the TUD SecureMail Portal or by email to [email protected], quoting job number w25-063, by January 5, 2026. For further details on available topics and supervisors, visit scads.ai/positions2025 . Data protection information is available at tu-dresden.de/karriere/datenschutzhinweis . Please note that application documents will not be returned and interview expenses cannot be reimbursed.