Research Fellow

About SUTD

SUTD is the world's first Design.AI university. With Design.AI, artificial intelligence is treated as a partner and a member of the team - not just a tool. As a result of this unique SUTD treatment, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD's unique cohort-based interdisciplinary pedagogy. As a trailblazer in the field of design and technology education and research, SUTD has been pioneering innovative programmes and initiatives since its formation 16 years ago. As part its new mid-term growth strategy called SUTD Leap, it will work closely with industry to co-create solutions in both education and research - for a better world.

About the Job

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our AI-RAN efforts in FCP and FCC Lab. The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for 6G technologies. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

What You'll Do

• Undertake research in the field of wireless communications, with a primary focus on pioneering algorithms and methodologies with AI-RAN.
• Design and execute demos to validate the proposed approaches in robotic applications and token communications.
• Stay up-to-date with the latest advancements in AI-RAN and related fields and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Who We're Looking For

• A PhD degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision or robotics.
• A strong background in wireless communications, machine learning, optimization, and large language models.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of concepts related to large language models, including transformer architecture, token optimization, and neural network.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.