open to PhD students, postdocs, and research staff at any UK or EU university. A solid foundational knowledge of machine learning is assumed. Participants must be available for the

Qualifications (PhD Applicants)* - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - Background in machine learning, computer vision

Max Planck PhD studentship in Population, Health and Data Science. The PhD studentship is funded by the University of St Andrews and the Max Planck Institute for Demographic Research

, and PhD degrees in Applied Mathematics and Data Science. International collaborations and joint research projects are ongoing with several research institutions in Europe and

2026 A PhD or equivalent qualification in statistics, computer science or a closely related field is essential. Experience of statistical or machine learning programming is essential

a motivated PhD candidate to join an interdisciplinary project in investigating *how the brain learns to control biological time*. The candidate will develop computational and

recruiting one PhD student based in Dublin, Ireland for this Autumn in the area of gestures in HRI: https://sites.google.com/view/tu-dublin-phd-2026/robert-ross-2026 As part

and exposure PhD thesis projects are not in scope for this track. We warmly encourage PhD candidates to submit their work to the VARIABILITY 2026 Doctoral Symposium. *Submission Format

Programme We would greatly appreciate it if educators and researchers could share this opportunity with students who may benefit from it. Best regards, Max Patacchiola, PhD

primarily at PhD students (especially in their first and second year), while also benefiting other early-career researchers and professionals in industry. Attendees from both

highly motivated PhD student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring at the IMOS Lab - EPFL as part of an ERC Consolidator Grant. Project description

Pearce, PhD FInstP SFHEA (he/him/his) *Reader in Bioengineering * Head of Biomedical Engineering Research Group (BERG) Deputy Head of School of Engineering College of Science and

and talented PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product

Aniello, PhD Associate Professor University of Salerno email: gidaniello@unisa.it web:https://docenti.unisa.it/giuseppe.daniello IEEE Senior Member Chair IEEE SMC Distinguished

- Recent PhD graduates - Candidates close to submitting their PhD thesis - Researchers with strong backgrounds in AI, NLP, machine learning, or biomedical AI You should ideally have

cohort (PhD, researchers, engineers) 🏡 Full immersive experience in Tuscany 👉 Apply now — Limited to 250 participants, Applications close May 15 — seats filling fast. 🎓 ACDL 2026,

as a PhD student or postdoc in autumn 2026? We have openings on a new project titled “A Mechanistic Framework for Mitigating the Susceptibility of LLMs to Learning False Information

: - PhD (completed or near completion) in *Natural Language Processing, Machine Learning, Computer Science**,* or a related discipline - a strong publication record at top-tier

an exciting PhD opportunity at the intersection of causal inference and ML, developing methods to make causal inference more trustworthy. This is a fully funded, 4-year position

details: https://skilled-llms.github.io/2026/ *Francesco Chiariello, PhD* Inria & École Normale Supérieure on behalf of the SKILLED-LLMs 2026 Organisation Committee

*PhD Scholarship in Decision-Focused Learning, Model Multiplicity and Causal Recourse in Financial Services* *Location*: Trinity College Dublin *School*: School of Computer

Dear PhD candidates, There is an available PhD position at TU Delft (Netherlands) on the topic of Safe Hybrid Learning. The PhD candidate's primary supervisor will be Prof. George

– primarily PhD students and early-career researchers – will attend a lecture delivered by a distinguished guest speaker, followed by hands-on practical sessions and workshops

PhD Position: Structural Generalization in Transformer-based LLMs *Start date:* as soon as possible *Application deadline:* 11 May 2026 The research groups of Michael Hahn and

and support PhD students working on *rule-based formalisms and reasoning in Artificial Intelligence*, offering a unique opportunity to present ongoing research, receive feedback

primarily targets PhD/MSc students and recent graduates, while also welcoming more senior researchers looking to catch up or deepen their knowledge. It's an excellent networking

a completed PhD in Natural Language Processing or Computational Linguistics as well as a track record of publications in *ACL venues, with a particular interest in semantics and/

hiring a PhD student in computerized image processing and physics-informed machine learning for green hydrogen production , with me (Jens Sjölund ) and Ida-Maria Sintorn as supervisors

students, PhD students, researchers and professionals who are interested in learning or refreshing their knowledge about this exciting field. The INIT/AERFAI Summer Seminars

We currently have an opening for a* half-time university assistant *(doctoral student for up to 4 years) at the Computational Data Analytics group of