PhD Opportunity in Machine Learning for Multi-omics Data Integration at South Asian University
The Machine Learning and Statistical Inference Laboratory (MLSI-LAB) at the Department of Computer Science and Engineering, South Asian University, New Delhi, led by Dr. Reshma Rastogi, is seeking motivated candidates for a Junior Research Fellow (JRF) position. This opportunity is part of a CSIR-funded project titled “Efficient Machine Learning–based Integrative Approaches for Multi-omics Data and their Applications.” The research focuses on developing advanced machine learning methods for integrating heterogeneous multi-omics data, with significant applications in healthcare and biological data analysis.
The project involves areas such as feature learning, semi-supervised and manifold learning, and adaptive dimensionality reduction, aiming to capture both global structure and local non-linear relationships in complex biological datasets. The lab’s broader research interests include multi-label learning, federated learning, statistical learning, deep learning, robust feature selection, and the extension of support vector machines for various data science tasks.
This JRF position is ideal for candidates with a background in Computer Science or related fields who are interested in pursuing a PhD. The position can be converted into a full-time PhD position based on performance and university norms. Applicants with NET-JRF or GATE qualifications are encouraged to apply, and those with experience or interest in machine learning, deep learning, and Python will be given preference.
The MLSI Lab, established in 2014, has a strong track record of research and training, with numerous publications in top international journals and conferences. The lab currently hosts several PhD and MSc students working on cutting-edge topics in machine learning and data science. The research environment is collaborative and interdisciplinary, offering exposure to both theoretical and applied aspects of machine learning, especially in the context of biological and healthcare data.
Funding for the position is provided by a CSIR research grant. While specific stipend and tuition details are not mentioned, the position is fully funded as a JRF, with the potential for continued support as a PhD student. The application deadline is January 5, 2026. Interested candidates should send their CV to Dr. Reshma Rastogi at [email protected], fill out the provided application form, and review the lab’s website for more information about ongoing research and projects.
For further details, visit the lab’s academic page and the university’s recruitment portal. This is an excellent opportunity for aspiring researchers in machine learning, statistical inference, and computational biology to join a vibrant research group at South Asian University.
