The candidate will be responsible for conducting research and development of mathematical models, algorithms and application prototypes related to multi-agent reinforcement learning and trustworthy federated learning systems. Successful candidate will be part of an active research team led by Prof TAN Ah Hwee at the School of Computing and Information Systems, Singapore Management University.
The main responsibilities of the postdoctoral fellow/research scientist position include:
Research and development of computational models for multi-agent reinforcement learning and trustworthy federated Learning;
Leading the design, development and evaluation of simulation prototypes; and
Documentation, preparation of technical publications and reports
Academic / Professional Qualifications
PhD degree in Computer Science, Cognitive Science, or closely related disciplines from a reputable institution of higher learning
Minimum 3-4 years of relevant research experience in artificial intelligence, cognitive science, or related fields.
Knowledge / Skills / Competencies
Good analytical, technical and problem solving skills
Proficiency in programming languages, in particular Python and Java
Competency in application prototype design and development
Good writing, communication and interpersonal skills
Applicants with research publications in artificial intelligence and cognitive science areas will be advantageous
The candidate will be responsible for conducting research and development of mathematical models, algorithms and application prototypes for scalable and explainable intelligent Computer Generated Forces (iCGF). Successful candidate will be part of an active research team led by Prof TAN Ah Hwee at the School of Computing and Information Systems, Singapore Management University.
Candidate’s core responsibilities are:
Study, design, development and integration of computational models for multi-agent reinforcement learning, knowledge representation, association and reasoning
Responsible for the design and development of application prototype for demonstration
Documentation, preparation of technical publications and reports
Academic / Professional Qualifications
BSc/Master degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
Minimum 1-2 years of relevant research experience in artificial intelligence, cognitive science, or related fields will be an advantage.
Knowledge / Skills / Competencies
Good analytical, technical and problem solving skills
Proficiency in programming languages, in particular Python, Java and C/C++
Competency in application prototype design and development
Good writing, communication and interpersonal skills
Applicants with research publications in artificial intelligence and cognitive science areas will be advantageous
The appointment will typically be for one year initially and renewable for multiple years. The salary and benefits provided will be highly competitive and commensurate with the candidate’s profile and experience.
Interested candidate please send a cover letter and CV with email addresses of three referees to ahtan@smu.edu.sg. Your email should have the subject heading of "Application for Research Position” .
We also welcome candidates who are keen to pursue a PhD in the field of AI, machine learning, neural networks, and cognitive computing. Fully funded scholarships with stipends are available. Visiting students and researchers are also encouraged to contact us to discuss opportunities.
Interested candidate please send a cover letter and CV to ahtan@smu.edu.sg. Your email should have the subject heading of “Application for Postgraduate Study" or “Application for Visiting Position".