Doctoral Student

PhD Position Opening on Statistics and Machine Learning at Sorbonne Universit | SCAI Sorbonne Center for Artificial Intelligence | Sorbonne University Abu Dhabi

I am excited to announce that we are hiring fully funded PhD students to join our SCAI research group! All the projects are posted under the SCAI tab here at https://lnkd.in/dYPjZ_mN

I (primary supervisor) and Maharajah Ponnaiah (co-supervisor) are hiring one PhD student to work on 'Advancing Machine Learning Systems for Temporal Healthcare Data'.

Project Overview:

The PhD project will focus on developing advanced machine learning models for healthcare time series data, emphasizing spatiotemporal modeling, graph-based deep learning, and interpretable AI. Theoretical developments (asymptotic analysis) of the models are an integral part of the project.

What were looking for:

Strong background in Probability, Statistics, and Machine Learning/Deep Learning.

Interest in time series analysis, graph neural networks, or healthcare applications

Programming experience in Python and ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)

Eligibility: 2 Years Masters degree (or equivalent) in Mathematics/ Statistics/ Computer Science/ a related field from a Premier Institution.

Location: Sorbonne University, Abu Dhabi (registration and degree will be awarded by Sorbonne Universit, Paris, France).

Start Date: Fall 2025

Funding: Fully funded with a competitive salary for 3 years.

Application Deadline: April 27, 2025

To apply, please send your CV, transcripts, cover letter, research statement/copy of MS thesis/publication/writing sample, and contact info for two references to: [Confidential Information] (AVOID sending over LinkedIn)

PhD Opening on Interpretable/Probabilistic Machine Learning:

My colleague Dr. Samuel Feng and Dr. Omar El Dakkak have a similar opportunity on 'Energy Based Methods on Biomedical Data', please see the project here: https://lnkd.in/dKn9aCCF. Interested applicants should contact [HIDDEN TEXT] with the same materials as mentioned above by April 27.

Feel free to reach out if you have questions or want to discuss the opportunity further! Also, we will notify selected candidates only.