Wallenberg-NTUPostdoctoralFellow

The Wallenberg-NTU Postdoctoral Fellowship is to bring outstanding young researchers, who have graduated from a Swedish university, to NTU for two years of postdoctoral research and studies. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU’s approach to research and education. **Key Responsibilities:** The fellow in this research project is required to: * **Literature Review & Methodology Design: **Conduct a comprehensive review of state-of-the-art SSL techniques * **Algorithm Development** Design and implement novel regularization strategies and loss functions that leverage entropy principles to improve the stability of SSL training loops. * **Diffusion Model Integration:** Adapt and apply denoising diffusion probabilistic models (DDPMs) to the problem of manifold learning and data augmentation within the SSL pipeline. * **Experimental Execution:** Design rigorous benchmarking protocols to test the new methods against baseline algorithms using challenging, noisy industrial datasets (e.g., anomaly detection, predictive maintenance data). * **Code Maintenance & Documentation: **Write clean, efficient, and reproducible Python code (JAX/PyTorch/TensorFlow) and maintain technical documentation for all developed modules. * **Dissemination:** Prepare results for publication in high-impact machine learning conferences (e.g., NeurIPS, ICML, ICLR) and contribute to internal technical reports. **Job Requirements:** * A Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field * Strong Programming: Python proficiency and experience with high-performance computing (HPC) clusters or cloud GPU instances. * Analytical Rigor: Ability to design ablation studies to isolate the impact of individual loss components. * Communication: Ability to clearly articulate complex mathematical concepts to an interdisciplinary team of engineers and researchers. * Prov