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.

The laboratory of Pan Guangming at the School of Physical and Mathematical Sciences are seeking a Research Assistant to contribute to a project focused on large random matrices and machine learning.

Key Responsibilities

Conducting research in one or more of the following fields:

• Large random matrices
• Machine Learning

Job Requirements

• A Bachelor’s Degree in statistics or related areas.
• Experience in random matrices or machine learning.
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Strong publication record

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Position Type: Postdoctoral 

Quantity: 1 

Location: NTU, Singapore

Deadline: 30/4/2024

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow in the group of Wang Zhongjian.

Key Responsibilities:

Conducting research in one or more of the following fields:

• Computation of PDE
• Numerical Analysis
• Generative models and Machine Learning 

Job Requirements:

• PhD in Mathematics or closely related fields
• Publication record in the relevant areas
• Strong Python programming skills and knowledge of JAX (or PyTorch, or Tensorflow) will be highly considered
• Strong ability to work independently and as part of a team with strong initiatives

The postdoctoral position is a full-time research position with no teaching responsibilities. The position is for two years with possibilities of renewal for another year, subject to performance and funding availabilities.

To apply for this position, please submit the CV and cover letter. In addition, candidates should arrange at least three recommendation letters to be sent directly to Zhongjian.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Webpage: https://ntu.wd3.myworkdayjobs.com/en-US/Careers/job/Research-Fellow--Machine-learning---Generative-models-_R00015447

Job Contact Name: Wang Zhongjian

Location: NTU, Singapore

Deadline: The position is open until filled

A Research Assistant position is currently available in the School of Physical and Mathematical Sciences (SPMS) with a focus on robust optimization and procurement management. The incumbent will be encouraged to pursue his or her own, and newly arising, applications using a data-driven robust optimization approach.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Conducting research on robust optimization for material procurement management problem

• Developing collaboration with other research teams, public agents and particularly industry partners

• Provide basic administrative support

Job Requirements:

• Bachelor Degree in Operations Research, Mathematical Optimization, Industrial Engineering, or a related field, before the anticipated start date of June 1, 2024

• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management

• Strong coding skills (one or more of R, Julia or Python) and experience using one or more commercial optimization solvers

Position Type: Postdoctoral 

Location: NTU, Singapore  

Deadline: No Deadline

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a Research Fellow with strong expertise and publication record in algebra, combinatorics, finite geometry, or a closely related area of mathematics.

Key Responsibilities:

• Propose methods to tackle open problems concerning optimal configurations in finite geometry

• In cooperation with PI and Co-PI, carry out numerical studies to identify promising directions for constructions and nonexistence results for equiangular tight frames

• Produce mathematical proofs for conjectures that arise from numerical studies

Requirements:

• PhD in mathematics

• Deep knowledge in algebra, combinatorics, finite geometry, or a closely related area of mathematics

• Good track record of publications in algebra, combinatorics, finite geometry, or a closely related area of mathematics

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

• publication record in the relevant areas 
• strong R/MATLAB programming skills 
• strong ability to work independently and as part of a team with strong initiatives. 

• stochastic optimal control 
• model uncertainty in finance 
• distributionally robust optimization (DRO) 
• financial and insurance mathematics 
• machine learning algorithms, their convergence rates and complexity analysis, and their applications in finance and insurance