Research Associate (Computer Science/Engineering)

The School of Computer Science and Engineering (SCSE) is seeking a dedicated Research Associate in Computer Science and Engineering with a focus on advancing the fields of diffusion models and machine generalization.
This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in computer science and engineering.
Key Responsibilities:

• Collaborate closely with the Principal Investigator (PI) to design, implement, and analyze novel research projects.
• Conduct high-quality research, developing new algorithms and models, and publishing findings in top-tier conferences.
• Formulate the machine generalization problem in light of recent advancements in foundation models.
• Design algorithms that improve diffusion model generalizations.
• Collect or consolidate data to validate the designed algorithm.
• Communicate research outcomes through papers or presentations.

Job Requirements:

• Master's degree in computer science/engineering
• Experienced in PyTorch or Tensorflow
• Relevant publication regarding machine generalization or diffusion model is preferred.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Demonstrated publication record in top-tier conferences such as NeurIPS, ICML, CVPR, or similar.
• Proven experience in designing, implementing, and evaluating algorithms and models, particularly in diffusion models and machine generalization.
• Strong analytical and problem-solving skills, with a solid foundation in mathematics and statistics.
• Ability to work independently and collaboratively in a research environment, with excellent communication skills for presenting research findings.
• Strong background in machine learning, deep learning, or a related field, and exhibit a proven track record of research excellence and publication in reputable venues

We regret that only shortlisted candidates will be notified.
Hiring Institution:
NTU