The Research Fellow will conduct research on cutting-edge foundation models and their reliability issues. This role involves leading research efforts, developing innovative algorithms, managing large data sets, and ensuring the model's accuracy and reliability. The candidate is also expected to work closely with the Principal Investigator on research publications, project applications, as well as supervising junior researchers in the team.
Qualifications:
- PhD in computer science or related discipline.
- Strong background in machine learning, data science, and statistics.
- Strong programming ability.
- Track record of research experience and publications in the area of artificial intelligence, machine learning, computer vision, and natural language processing.
- Proven experience in the implementation and evaluation of machine learning algorithms.
- Proven experience in supervising junior researchers.
