Research Associate (Computer Engineering/Computer Science/Engineering/Mathematics/Biology/Chemistry)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology university in Singapore seeks a researcher to develop deep learning models for biomedical applications. Candidates should have a Master's degree in a relevant field and strong skills in machine learning and Python. The role includes mentoring junior members and collaborating with a multidisciplinary team. Excellent communication skills are required. Only shortlisted candidates will be notified.

Qualifications

• Preferably Master in a relevant field.
• Independent, highly analytical, proactive and a team player.
• Excellent teamwork and communication skills.

Responsibilities

• Develop deep learning models and algorithms for biomedical and healthcare applications.
• Mentor junior research lab members in experiments.
• Present findings to academic and industry stakeholders.

Skills

Machine Learning

Deep Learning

Python programming

Team collaboration

Analytical skills

Education

Master in Computer Engineering, Computer Science, Engineering, Mathematics, Biology, Chemistry

Job description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The group focuses on the development of deep learning technologies for the advancement in medicine and healthcare.

Key Responsibilities:

• Develop deep learning models and algorithms for biomedical and healthcare applications.
• Data processing for training of deep learning models.
• Mentor junior research lab members in experiments.
• Collaborate with a multidisciplinary team of researchers, including wet-lab scientists and engineers.
• Stay current with advancements in deep learning and therapeutics innovation, contributing to the evolution of our methodologies.
• Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Engineering, Mathematics, Biology, Chemistry.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proficiency in Machine Learning/Deep Learning
• Knowledge of Large Language Models
• Python programming skills

We regret that only shortlisted candidates will be notified.