Nanyang Technological University, School of Physical & Mathematical Sciences,, Division of Mathematical Sciences

768 20215Position ID: NTU-RS [#20215]
Position Title: Research Staff
Position Type: Postdoctoral
Position Location: Singapore, Singapore 637371, Singapore [map] sort by distance
Application Deadline: none
Position Description:    

Division of Mathematical Sciences, School of Physical & Mathematical Sciences,
NTU Singapore 

The College of Science at Nanyang Technological University, Singapore, 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. 

Division of Mathematical Sciences (MAS) in School of Physical & Mathematical Sciences (SPMS) is looking for candidates to join them as Research Staff. The available job openings are as follows:



Position Title: Postdoc (Research Fellow) position in stochastic optimal control/mathematical finance/model uncertainty in finance/DRO/machine learning in the group of Ariel Neufeld at NTU Singapore 

Position Type: Postdoctoral 

Quantity: 1  

Location: Division of Mathematical Sciences, NTU, Singapore 

Deadline: No deadline 

Postdoc position within the research group of Ariel Neufeld 

The research focuses on:
  • 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 

Webpage: https://personal.ntu.edu.sg/ariel.neufeld/ , https://www.bachelierfinance.org/forum/archives/9033 

Job Contact Name: Ariel Neufeld 

Job Contact Email: ariel.neufeld@ntu.edu.sg



Position Title: Research fellow 

Position Type: Postdoctoral 

Quantity: 2 

Location: NTU, Singapore 

Deadline: The position is open until filled 

2 research fellow positions are currently available under supervision of Professor Xiang Liming to work on developing methods for analysis of complex survival data, including data subject to dependent censoring, interval censoring, competing risks, or data from clustered/longitudinal studies. Candidates must have PhD in Statistics or closely related fields with 
  • 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. 

Expertise in quantile regression and semiparametric modelling/inference would be considered a plus. The initial appointment will be for one year (with potential to renew for a second year). 

Webpage: https://personal.ntu.edu.sg/lmxiang/ 

Job Contact Name: Xiang Liming 

Job Contact Email: lmxiang@ntu.edu.sg



Position Title: Postdoctoral position at NTU Singapore 

Position Type: Postdoctoral 

Quantity: 1 

Location: NTU, Singapore

Research opportunity at the Division of Mathematical Sciences of the Nanyang Technological University (NTU, Singapore) 

I am looking for candidates to fill a position in my research group at the postdoctoral level. I am looking for mathematicians, statisticians, physicists, or candidates with diplomas in closely related fields, interested in research at the interface between geometry, dynamics, and learning. Even though it is not a necessary condition, candidates with expertise in reservoir computing, geometric mechanics, variational and structure-preserving integration, dynamical systems, or statistical learning will be highly considered. 

The postdoctoral position is a two-year full-time research position with no teaching responsibilities. Applicants should hold a PhD diploma already at the time of application. For administrative reasons, the starting date for this position has to be fixed for a date before the end of December 2022. 

Interested candidates should contact Prof. Juan-Pablo Ortega at Juan-Pablo.Ortega@ntu.edu.sg

Job Contact Name: Juan-Pablo.Ortega 

Job Contact Email: Juan-Pablo.Ortega@ntu.edu.sg



Position Title: Research Fellow

Position Type: Postdoctoral 

Quantity: 1 

Location: NTU, Singapore

A research fellow (postdoc) position is currently available at the School of Physical & Mathematical Sciences, Nanyang Technological University (NTU), Singapore. The candidate is expected to work on cryptography and/or machine learning. 

Job Description:

  • Conduct research on cryptography and/or machine learning

  • Help prepare reports and presentations for the project

  • Publish relevant results to cryptography and/or machine learning conferences/journals

Job Requirements:

  • PhD in Mathematics and/or Electronics and/or Computer Science

  • Ability to work independently and as part of a team with strong initiatives.

  • Good communication and interpersonal skills.

  • Expertise in symmetric cryptanalysis/design and/or machine learning is a strong plus

We regret that only shortlisted candidates will be notified.


Webpage: https://ntu.wd3.myworkdayjobs.com/en-US/Careers/details/Research-Fellow--Cryptography-Machine-Learning-_R00012862-1?q=R00012862


Job Contact Name: Thomas Peyrin

Job Contact Email: thomas.peyrin@ntu.edu.sg



Position Title: Research Fellow (Machine learning / Generative models)

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

Job Contact Email: zhongjian.wang@ntu.edu.sg



Position Title: Research Fellow (Analytics and stochastic methods for PDEs in plasma physics)

Position Type: Postdoctoral 

Quantity: 1 

Location: NTU, Singapore

Deadline: The position is open until filled

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.

Key Responsibilities:

  • Development of stochastic and analytical methods for the numerical solution of highly nonlinear partial differential equations arising in plasma physics
  • Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

  • PhD degree in Applied Mathematics
  • Relevant research experience in the numerical solution of PDEs, stochastic and Monte Carlo methods, and neural network coding in Pytorch / Tensorflow
  • Enthusiasm, good communication skills, and being able to conduct independent research

 

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

Webpage:https://ntu.wd3.myworkdayjobs.com/en-US/Careers/job/Research-Fellow--Machine-learning---Generative-models-_R00015447 , https://personal.ntu.edu.sg/nprivault/indexp.html

Job Contact Name: Nicolas Privault

Job Contact Email: nprivault@ntu.edu.sg  



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