Research Fellow (Additive Manufacturing, Data Analytics, Machine Learning)

Updated: about 2 years ago
Location: Kent Ridge,
Deadline: The position may have been removed or expired!


Job Description

The Research Fellow will work closely with the Principal Investigator (PI) for material development in AM using data-driven approaches. The duties of this position include:


• Carrying out literature reviews
• Planning and executing experiments
• Analysing and interpreting the experiment data collected
• Developing simulations and algorithms
• Writing progress reports, research publications and general documentation of results


Qualifications

• PhD in Mechanical Engineering, Materials Science, Computer Engineering or Computer Science
• Experience with metal additive manufacturing (eg. powder bed fusion, directed energy deposition)
• Experience with data analytics, machine learning and/or artificial intelligence 
• Experience related to material characterisation and mechanical testing will be advantageous
• Knowledge of other domains within Industry 4.0 will be advantageous 
• Self-motivated, good team player


More Information

Location: Kent Ridge Campus

Organization: Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 7855




Similar Positions