Overview
A postdoctoral position in the field of Machine Learning is currently open at the Institute of Science and Technology Austria (ISTA), specifically within the ELLIS Unit led by Christoph Lampert. This role presents a significant opportunity for researchers interested in advancing their careers in a dynamic and innovative research environment.
Background & Relevance
Machine learning continues to evolve rapidly, becoming integral to various applications across industries. Research in trustworthy machine learning, including aspects such as privacy, fairness, and robustness, is increasingly vital as AI systems become more pervasive. Additionally, areas like transfer learning, continual learning, and the integration of classical AI with machine learning are crucial for developing systems that can adapt and perform effectively in diverse contexts. This position at ISTA is particularly relevant for those looking to contribute to cutting-edge research in these areas.
Key Details
- Position: Postdoctoral Researcher in Machine Learning
- Location: Institute of Science and Technology Austria (ISTA), Vienna
- Research Topics:
- Trustworthy machine learning (privacy, fairness, robustness, federated learning, LLM security)
- Transfer/continual/meta learning (multi-task learning, domain adaptation, lifelong learning)
- Intersection of machine learning with classical AI (logic, knowledge representations, SAT/SMT)
- Application Deadline: Open until positions are filled
- Starting Date: Flexible
- Salary: Competitive, with potential for extensions
Eligibility & Participation
Candidates should possess a PhD or be nearing completion in machine learning or a related field. A strong foundation in mathematics, programming, and analytical reasoning is essential. Applicants must have a proven research record, evidenced by publications in top-tier machine learning conferences or journals, such as NeurIPS, ICML, ICLR, JMLR, or TPAMI. The position seeks highly motivated individuals who thrive in collaborative research settings.
Submission or Application Guidelines
To apply, candidates should prepare a formal application that includes:
– Curriculum Vitae
– Statement of research experience and interests
– List of publications
– Academic transcripts
– Contact information for three references
All documents must be compiled into a single PDF and sent to Prof. Christoph Lampert at chl@ist.ac.at.
More Information
The Institute of Science and Technology Austria (ISTA) is a young and vibrant research institution established in 2009, dedicated to pioneering basic research in computer science, mathematics, and natural sciences. The primary language of instruction and communication at ISTA is English, fostering an inclusive environment for international researchers. The successful candidate will benefit from state-of-the-art computational resources and support for conference travel, enhancing their research experience.
Conclusion
This postdoctoral position at ISTA offers a unique opportunity for researchers eager to contribute to significant advancements in machine learning. Interested candidates are encouraged to apply and join a team dedicated to exploring the frontiers of AI research.
Category: PhD & Postdoc Positions
Tags: machine learning, postdoc, transfer learning, federated learning, trustworthy AI, meta learning, AI research, ISTA, Vienna, Christoph Lampert, ELLIS, data analysis
