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Christoph Lampert

6 days ago

Postdoc in Trustworthy Machine Learning and Transfer Learning at ISTA Institute of Science and Technology Austria in Austria

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Austria

University

Institute of Science and Technology Austria

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Keywords

Computer Science
Information Technology
Mathematics
Data Privacy
Transfer Learning
Computer Vision
Robustness Analysis
Statistics
Continual Learning
Machine learning

About this position

Christoph Lampert, Professor for Machine Learning and Computer Vision at the Institute of Science and Technology Austria (ISTA), is hiring postdoctoral researchers in Trustworthy Machine Learning and Transfer Learning.

The position is based in the Machine Learning and Computer Vision Group at ISTA in Austria. Research topics mentioned include privacy, fairness, robustness, federated learning, LLM security, transfer/continual/meta learning, multi-task learning, domain adaptation, lifelong learning, and the interface between symbolic AI and statistical machine learning.

This is a postdoc opening with 100% research, no teaching or administrative duties. The appointment is for one or two years, with a very competitive salary and possible extensions. The group also highlights generous funding for equipment and conference travel.

Applicants should have a PhD in machine learning or a related area, with a strong background in mathematics, programming, and analytic reasoning. A strong publication record is expected, and English fluency is required; German is optional.

To apply, send a single PDF by email including CV, research statement, publications list, academic transcripts, and three references. Applications are considered until all positions are filled.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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