Research Assistant (Computing)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading research university in Singapore is seeking a research assistant to focus on the development of asymptotic behaviors of eigenvectors of kernel matrices. Responsibilities include investigating kernel random matrices and conducting high dimensional cluster analysis. The ideal candidate should have a bachelor’s degree in Computing and at least 3 years of relevant experience. Excellent analytical and interpersonal skills are essential for success in this role.

Qualifications

• Minimally a bachelor’s degree in Computing.
• At least 3 years of relevant experiences in a similar role.
• Familiarity with kernel matrices and cluster analysis.

Responsibilities

• Investigate Kernel random matrices.
• Analyze the population eigenvectors.
• Study high dimensional cluster analysis.

Skills

Analytical skills

Proficiency in programming languages

Interpersonal skills

Meticulousness

Education

Bachelor’s degree in Computing

Job description

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

For more details, please view School of Physical and Mathematical Sciences | NTU Singapore

We are looking for a research assistant. The role will focus on developing asymptotic behaviors of eigenvectors of kernel matrices for the purpose of high dimensional clustering.

Key Responsibilities

• Investigate Kernel random matrices
• Analyze the population eigenvectors
• Study high dimensional cluster analysis

Job Requirements

• Minimally a bachelor’s degree in Computing
• At least 3 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Familiarity with kernel matrices and cluster analysis
• Good written and oral communication skills (if applicable)
• Proficiency in hard skills / job-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skills
• Competent in soft skills / general personality traits e.g. information visualization, interaction design
• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

We regret to inform that only shortlisted candidates will be notified.