Research Engineer (6-month contract), SCIS

Borr Drilling; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading university in Singapore seeks a researcher focusing on AI-driven solutions for combinatorial optimization in logistics. Candidates should hold a Master's in Computer Science, possess deep learning experience, and exhibit strong problem-solving abilities. Join a dynamic research team to advance innovative algorithms and contribute to academic publications.

Benefits

Competitive compensation packages

Generous professional development opportunities

Qualifications

• Minimum 1 year of relevant research experience in deep learning.
• Proficiency in Python required.
• Applicants with research publications in AI area will be advantageous.

Responsibilities

• Developing novel deep learning-assisted algorithms for optimization problems.
• Implementing traditional optimization algorithms.
• Writing papers for publication.

Skills

Deep Learning

Combinatorial Optimization

Programming in Python

Diffusion Models

Technical Skills in PyTorch

Problem-Solving

Education

Master's degree in Computer Science or related disciplines

Job description

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on AI-driven solutions for combinatorial optimization problems in logistics. Successful candidate will be part of an active research team led by Ass.Prof CAO Zhiguang from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

Candidate's core responsibilities are:

• Developing novel deep learning assisted generalizable algorithm for solving combinatorial optimization problems.
• Implementing traditional optimization algorithms.
• Collecting real-world dataset and testing the above algorithms for benchmarking.
• Writing paper for publication.
• Other duties as assigned.

QUALIFICATIONS

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on Artificial Intelligence
• Minimum 1 year of relevant research experience in deep learning
• Proficiency in programming software/languages such as python will be positively considered/ is required
• Proven track record and professional experience in deep learning
• Demonstrated experience and know-how on diffusion models
• Excellent working knowledge of combinatorial optimization• Technical skills in PyTorch
• Ability to break down complex problems and design effective solutions
• Innovating new approaches and thinking outside the box
• Applicants with research publications in AI area will be advantageous
• Ability to work cooperatively as part of a small, agile academic research team is essential
• Self-motivated individual who can work independently and collaboratively with team members

OTHER INFORMATION

#LI-JN2

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University