Première détection par notre source: hier
📣 PhD opportunity in Montréal — Human-Guided Evaluation of Generative AI Systems
@ Université Paris-Saclay
Montréal, Québec
En bref
Université Paris-Saclay is offering a full-time PhD position in Montréal, starting January 2027, researching human-guided evaluation of generative AI systems. The work combines probabilistic modelling, adaptive testing, simulated users and targeted human feedback to assess reliability and uncertainty of language models. Funding is competitive, a cotutelle with McGill University is possible, and applications are accepted on a rolling basis until the position is filled.
Responsabilités :
- Design evaluation methods for generative AI systems
- Explore probabilistic modelling and adaptive testing
- Run experiments on language models
- Use targeted human feedback to assess reliability
Résumé des exigences :
- Background in computer science, mathematics, statistics or engineering
- Interest in combining theory with experimentation
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-11-14
- Mise Ă jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
DĂ©tails du poste
| Niveau | DĂ©butant |
| Domaine | Recherche et sciences |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Laboratoire |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Doctorat (exigé) |
| Domaines d’études | Computer science, Mathematics, Statistics, Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Université Paris-Saclay
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
📣 PhD opportunity in Montréal — Human-Guided Evaluation of Generative AI Systems
How can we evaluate AI systems in realistic situations—and decide which tests or expert judgments will provide the most valuable evidence about their risks?
Together with Jackie Cheung and our partners at Waterloo, Université Aix-Marseille and Orange, I am seeking a PhD candidate within REGARD project to explore these questions through probabilistic modelling, adaptive testing, simulated users, and targeted human feedback.
The research will connect mathematical foundations with experiments on language models, focusing on reliability, uncertainty, and the efficient use of human expertise.
📍 Montréal, with research activities at ILLS and Mila
📅 Intended start — January 2027
🎓 Possibility of a cotutelle between Université Paris-Saclay and McGill University
đź’° Competitive funding
đź“© Rolling applications until the position is filled
We welcome applicants from computer science, mathematics, statistics, engineering, and related disciplines who enjoy combining theory with experimentation.
Full description and application details
https://pablo-piantanida.org/openings/phd-ai-evaluation/
Please share with students who may be interested!
#PhDPosition #AIEvaluation #GenerativeAI #MachineLearning #NLP #ResponsibleAI
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