Research Associates/PhD Students: The School of Embedded Composite AI (SECAI), a prestigious DAAD Konrad Zuse School of Excellence in Artificial Intelligence, in collaboration with Leipzig University, is inviting applications for six Research Associate / PhD Student positions. These roles are aimed at advancing various aspects of AI research, with opportunities to work with leading researchers in Dresden or Leipzig. The positions commence on September 1, 2024, and run for three years.
Research Associates / PhD Students in Embedded Composite AI
Summary Table:
| Designation | Research Associate / PhD Student (m/f/x) |
|---|---|
| Research Area | Embedded Composite AI |
| Location | Dresden or Leipzig, Germany |
| Eligibility/Qualification | Master’s degree in relevant field, fluency in English |
| Job Description | Conduct AI research, publish findings, collaborate internationally |
| How to Apply | Submit application via SecureMail Portal or by mail |
| Last Date to Apply | May 31, 2024 |
Designation:
Research Associate / PhD Student (m/f/x)
Research Area:
Embedded Composite AI, including:
- Composite AI
- AI Compute Paradigms
- Intelligent Medical Devices
- AI Methods for Health
- Societal Framework of AI
Location:
Dresden or Leipzig, Germany (depending on assigned research topic)
Eligibility/Qualification:
- Very good research-oriented university degree (e.g., computer science, mathematics, electronics, medical devices, bioinformatics, law)
- Fluency in English
- Creativity, enjoyment in research, and adherence to research quality and ethics
Job Description:
- Conduct challenging research under supervision
- Develop a personal research profile
- Publish and present findings at international venues
- Collaborate with international researchers and teams from Dresden and Leipzig
How to Apply:
Submit a comprehensive application including CV, transcript of records, and Master’s certificate by May 31, 2024. Applications should be sent as a single PDF document via the TU Dresden SecureMail Portal (https://securemail.tu-dresden.de) to secai-office@tu-dresden.de or mailed to:
TU Dresden, Fakultät Informatik, Institut für Theoretische Informatik,
Professur für Wissensbasierte Systeme,
Herrn Prof. Dr. Markus Krötzsch,
Helmholtzstr. 10, 01069 Dresden, Germany.
Last Date to Apply:
May 31, 2024
For more details on research topics and application procedures, please visit: https://secai.org/topics/.
