PhD opportunity in Montréal — Human-Guided Evaluation of Generative AI Systems CNRS, CentraleSupélec in Canada

Zhijing Jin at the University of Toronto says that Jinesis Lab is always hiring and is looking for strong PhD and pre-doctoral students. The lab focuses on Responsible AI , Large Language Models , and Causality , with openness to research collaboration in both remote and in-person formats. The post also notes that UofT CS hires all ranks of professors across all computer science areas, especially AI, and that the formal call will be released soon. For PhD applicants, the post highlights that Uof...

Duke University is inviting applications for a Postdoctoral Associate in the DukeNLP group in the Department of Computer Science. The position focuses on natural language processing , machine learning , and reliable AI, with research directions including factual and robust language generation, long-horizon and agentic workflows, human verification of AI-generated work, and the provenance, transparency, and accountability of human-AI-produced artifacts. The successful candidate will work with Pro...

Doctoral researcher opening at the University of Luxembourg , within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) and the Security, Reasoning and Validation (Serval) research group, in partnership with STATEC (Luxembourg’s National Statistics Institute). The PhD topic is Machine Learning for Official Statistics , with the thesis titled “Exploring Large Language Models for Data-to-Text Problems” . The research focuses on software engineering practices for machine learnin...

Applications are invited for a fully funded two-year postdoctoral position in Statistics , Machine Learning , or a closely related field at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) . The position is supervised by Prof. Souhaib Ben Taieb and is based in Abu Dhabi, United Arab Emirates . The research focus includes modern statistics and machine learning, with possible topics such as probabilistic machine learning , decision-focused uncertainty quantification , conformal pre...

PhD opportunity in Machine Learning at the University of Arkansas with the Arkansas Machine Learning Group. The group works on adaptive decision-making in complex systems , including sample-efficient sequential decision-making , Bayesian optimization , active learning , and search/exploration/planning for language models . Students may also apply these methods to scientific discovery, supply chains, and other real-world decision-making problems. Ideal applicants have a strong background in compu...