Singapore University of Technology and Design, Information Systems Technology and Design

Position ID: 2464-POSTDOC [#15711]
Position Title: AI Research Fellow
Position Type: Postdoctoral
Position Location: Singapore, Singapore 487372, Singapore
Subject Areas: Commutative algebra, computational algebra, homological algebra, deep learning, artificial intelligence
Application Deadline: 2020/04/15 11:59PMhelp popup (posted 2020/02/20)
Position Description:    

SUTD was established in 2009 as a collaboration with MIT, and has recently in 2018 topped the list of emerging engineering schools in the world. At SUTD, there is a strong emphasis on interdisciplinary and collaborative research. Our unconventional naming of departments (or pillars) is a reflection of our philosophy that impactful research would naturally encompass multiple disciplines. SUTD is located in Singapore, a multiracial multicultural country, where English is the main language used in all schools and most workplaces, especially among people of different races.

We are seeking two highly motivated research fellows with strong algebraic backgrounds, who are interested to explore new research directions in deep learning, and more generally in Artificial Intelligence. A successful candidate can expect to conduct research on a completely new topic that combines commutative algebra with AI, and will work closely with other team members.

The goal is to develop an algebraic framework for understanding the architecture hyperparameters of deep neural networks, especially in relation to unsupervised feature learning. This framework shall be based on methods from both commutative algebra and computational algebra. We shall also build upon this algebraic framework and develop algorithms for generating optimal neural network architectures that are able to perform optimized feature learning on unlabeled data sets.

Duration of position: 2 years. (Two post-doctoral positions available.)
  • Required: PhD degree in mathematics, with experience in commutative algebra, computational algebra, homological algebra, or a related algebraic area.
  • The candidate is expected to have at least some programming experience, and must be open to learning new things (e.g. in computer science).
  • An ideal candidate is excited by the possibility of applying algebraic methods (e.g. in computational commutative algebra or homological algebra) to problems in Artificial Intelligence, specifically in machine learning and machine reasoning.
  • Candidates with strong algebraic backgrounds are prioritized.
Interested candidates should submit a cover letter, a current CV and copies of academic transcripts (from both undergraduate and post-graduate studies), as well as arrange for one reference letter. The candidate should ideally start as soon as possible, but the starting date is negotiable. Any queries can be sent directly to Ernest Chong (ernest_chong@sutd.edu.sg) with the email subject header "AI Research Fellow position for project on algebraic framework".

Application Materials Required:
Submit the following items online at this website to complete your application:
Further Info:
www.sutd.edu.sg
 
8 Somapah Rd, #05-101
Building 1, Level 5
Singapore 487372

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