Skip to main content

This job has expired

Research Fellow, Machine Learning Safety

Employer
NANYANG TECHNOLOGICAL UNIVERSITY
Location
Singapore
Closing date
9 Aug 2020

Job Details

NTU Main Campus, Singapore

School of Computer Science and Engineering invites applications for the position of Research Fellow.

In this research project, the research team will explore the problem of achieving safety assurance for learning enabled components in safety-critical cyber-physical systems. A classic example is the object detection and classification component in an autonomous vehicle.

In this project, the research team specifically focus on two research problems in this area:

  • Detecting out-of-distribution images efficiently at runtime so that appropriate fail-safe operations can be performed when images outside of the training space are encountered
  • Probabilistic formal verification of learning enabled components using scenario optimization so that a high performance and high assurance safety controller can be designed

Key Responsibilities:

  • Conduct research on high assurance techniques for efficient runtime detection of out-of-distribution images in vision based applications for CPS (training space characterization)
  • Collaborate with and manage a team of PhD students and research assistants, including support for implementation activities related to the simulation platform and embedded test-bed
  • Lead activities to produce research manuscripts
  • Provide support in other project management activities such as procurement and reporting
  • Work with a globally renowned research team in cyber-physical systems (https://cps-research-group.github.io/)

Job Requirements:

  • PhD in Computer Science, Computer Engineering or related fields
  • Research background and experience in the application of mathematical, particularly probabilistic, analysis techniques for reasoning about safety assurance in CPS
  • Good research publications records
  • Research experience in runtime techniques for detection of out-of-distribution images in vision based applications for CPS and familiarity with programming in C and Python will be a plus

We regret that only shortlisted candidates will be notified.

Company

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is placed 11th globally, and 1st among the world's top young universities for six consecutive years (QS university rankings). It is also ranked No.2 among the world's elite young universities (aged 50 and under) that have excelled in producing high-quality research (Nature Index Young Universities).


We invite you to be part of this world-class university through the prestigious Lee Kuan Yew Postdocotoral Fellowship programme. 

About Lee Kuan Yew Postdoctoral Fellowship (LKY PDF)

The prestigious Lee Kuan Yew Postdoctoral Fellowship (LKY PDF) was established in 1991 under the Lee Kuan Yew Endowment Fund. The Fellowship supports and promotes young and outstanding researchers to realise their full potential in the areas of Engineering, Science, Humanities, and Medicine.

The Fellowship will be awarded concurrently with the candidate's appointment as a research staff in NTU.

Please click here for the detailed list of research areas available in the respective Colleges/Schools/Research Centres.

Eligibility: 

• Excellent academic records and research potential.
• Recent PhD graduates, or with at most 1 postdoctoral training from a reputable university. 

Terms and Conditions: 
• The Fellowship will be tenable for a period of 3 years.  
• In addition to an attractive remuneration, the successful candidate will be awarded a research grant of S$180,000 for research consumables and research related expenditure. 

Application Procedure:

Please click here for more information.

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

Application Closing Date: 28 February 2020

Company info
Telephone
+(65)67911744
Location
50 NANYANG AVENUE
SINGAPORE
639 798
SG

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert