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Martin Pawelczyk

Professor Dr. at University of Vienna

Universität Wien

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Austria

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Statistics

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Mathematics

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Python Programming

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Deep Learning

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Large Language Models

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Positions2

Publisher
source

Martin Pawelczyk

University Name
.

University of Vienna

PhD Positions in Responsible AI – Faculty of Computer Science, University of Vienna

The University of Vienna invites applications for PhD positions in Responsible AI within the Faculty of Computer Science, starting August 1, 2026. As part of the Responsible Machine Learning (ML) Group, led by Prof. Dr. Martin Pawelczyk, you will join a dynamic team focused on advancing the reliability, transparency, and alignment of large-scale machine learning systems with human values. The group’s research sits at the intersection of AI Safety and Data-Centric AI, with core interests in machine unlearning, privacy-preserving techniques, robust data curation, multi-agent LLM systems, and mechanistic interpretability. Successful candidates will develop novel machine learning methods and tools, particularly in data attribution, privacy preservation for foundation models (LLMs, VLMs), agentic AI, and explainable AI. You will invent, evaluate, and publish algorithms with theoretical guarantees, work with both structured and unstructured data, and pursue a PhD thesis within a maximum 4-year duration. The position includes presenting research at international conferences, contributing to academic community events, and supporting group and faculty administration. Teaching and student supervision responsibilities are also part of the role. Applicants must hold (or be near completion of) a Master’s degree in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. Essential qualifications include a strong background in machine learning, statistics, mathematics, and Python programming, ideally with proficiency in deep learning frameworks such as PyTorch or JAX. Evidence of early research achievements (e.g., thesis, open-source contributions, workshop papers) and excellent English communication skills are required. Desirable skills include experience with large-scale models, distributed computing (SLURM), Linux workflows, prior research lab experience, and teaching. The position offers a competitive salary of EUR 3,776.10 (full-time, paid 14 times a year), with potential increases for credited professional experience. The contract is initially for 1.5 years, automatically extended to 3 years unless terminated, and can be extended up to 4 years based on research progress. The University of Vienna provides a world-class location, a collaborative international academic environment, and access to over 600 free courses for ongoing skill development. To apply, submit your academic CV, cover letter (including earliest start date and motivation), thesis or extended abstract, and official transcripts for both Bachelor’s and Master’s degrees. Optionally, fill out the provided form. The application deadline is May 20, 2026. For questions, contact Prof. Dr. Martin Pawelczyk at [email protected]. The University of Vienna is committed to equal opportunities, diversity, and the advancement of women, and encourages qualified female candidates to apply. Learn more about the lab’s work at https://martinpawelczyk.github.io/ and apply via Nature Careers .

just-published

Publisher
source

Martin Pawelczyk

University Name
.

University of Vienna

PhD Positions in Responsible AI at the Faculty of Computer Science

The University of Vienna invites applications for PhD positions in Responsible AI within the Faculty of Computer Science. As part of the Responsible Machine Learning (ML) Group, led by Prof. Dr. Martin Pawelczyk, you will join a dynamic team focused on advancing the frontiers of AI Safety and Data-Centric AI. The group’s research aims to make large-scale machine learning more reliable, transparent, and aligned with human values, with core interests in data-centric AI, privacy-preserving techniques, robust data curation, AI safety in multi-agent LLM systems, efficiency in model experimentation, and mechanistic interpretability in deep learning. Successful candidates will develop machine learning methods and tools, focusing on data attribution, curation, privacy preservation for large foundation models (LLMs, VLMs), agentic AI, and explainable AI. You will invent, evaluate, and publish novel algorithms, aiming for theoretical guarantees with structured and unstructured data. The position requires pursuing and completing a PhD thesis within a maximum of 4 years, joining the Vienna Doctoral School of Computer Science, and concluding a doctoral thesis agreement within 12 months. You will present research at top-tier international conferences, contribute to the academic community, assist in organizing meetings and symposia, and take on administrative responsibilities within the research group and faculty. Teaching and (co-)supervision of students are also part of the role. Applicants must hold (or be near completion of) a Master’s degree in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. Essential qualifications include a solid background in machine learning, statistics, and/or mathematics, strong programming skills in Python, and ideally proficiency in a major deep learning framework (e.g., PyTorch, JAX). An early research track record, excellent English communication skills, intrinsic motivation, curiosity, and the ability to work independently and collaboratively are required. Desirable skills include experience with large-scale models, distributed computing environments (e.g., SLURM), Linux workflows, prior research lab experience, and teaching. The position offers a competitive full-time salary of EUR 3,776.10 (paid 14 times a year), with possible increases for credited professional experience. The contract is initially for 1.5 years, automatically extended to 3 years unless terminated, and up to 4 years based on research progress. The University of Vienna provides a world-class location, inspiring work atmosphere, and access to over 600 free training courses. The institution is committed to equal opportunities, diversity, and the advancement of women, with preference given to female candidates of equal qualification. To apply, submit your academic CV, cover letter (including earliest start date and motivation), thesis or extended abstract, and official transcripts for both Bachelor’s and Master’s degrees. Optionally, fill out the provided form. For questions, contact Prof. Martin Pawelczyk at [email protected]. The application deadline is 20 May 2026. For more information about the lab, visit https://martinpawelczyk.github.io/ . Apply via the university job portal: https://jobs.univie.ac.at/job/PhD-Positions-in-Responsible-AI/1385351333/ .

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