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.

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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