Research Engineer, Engineering Data Analytics

Updated: about 1 month ago
Job Type: FullTime
Deadline: 15 Jun 2022

Job Description

We are looking for research engineers in the areas of machine learning for anomaly pattern detection on product quality control and advanced optimization for Industry 4.0 through Cyber Physical Production System (CPPS). 

The successful candidate will participate in the team to develop the solution for anomaly pattern detection on product quality control and a prototype system to demo the solution to industrial partners. 

The successful candidate will be exposed to technologies such as big data analytics, data mining, machine learning, artificial intelligence, advanced optimization, etc.

Qualifications

  • Bachelor’s Degree in Mechanical Engineering, Computer Engineering, Computer Science, Electrical and Electronic Engineering, or related fields.
  • Research experience in machine learning, data mining, big data analytics, artificial intelligence, or advanced optimization is helpful. 
  • Good working knowledge in Java, C/C++, C#, database, MatLab, Python Programming.
  • Creative, self-motivated, and excellent communication skills. 

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campu
Organization: College of Design and Engineering
Department : Mechanical Engineering
Employee Referral Eligible: No
Job requisition ID :14849


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