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

768 24877
Position ID:
NTU-RS1 [#24877]
Position Title:
Research Staff
Position Type:
Postdoctoral
Position Location:
Singapore, Singapore 637371, Singapore
Appl Deadline:
none
Position Description:
   

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: Postdoctoral Research Fellow in Statistics and Applied Mathematics

Position Type: Postdoc

Location: NTU, Singapore 

Deadline: The position is open until filled

Research positions in Statistical Learning at the School of Physical and Mathematical Sciences of NTU Singapore

There will be multiple postdoc positions available in 2025 as part of the research group of Dr. Hemant Tyagi at NTU Singapore (in the School of Physical and Mathematical Sciences).

The positions pertain to the research topic "Learning high-dimensional (networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc. The positions will be suitable for candidates with an interest in high-dimensional statistics, probability and optimization.

 

Requirements:

  • PhD in Mathematics/Computer Science/Statistics or related fields
  • Good research background in Statistical learning problems -- especially from a theoretical perspective -- as evidenced by publications
  • Knowledge of at least one of: MATLAB, R, Python or similar languages

The earliest starting date possible will be around June/July 2025 (but this is flexible). In general, administrative formalities can take up to 4-5 months (in the worst case) from the time an offer is made, so the exact starting date will depend on this.


Interested candidates who "fit" the criteria should contact Dr. Hemant Tyagi by email along with their CV. Shortlisted candidates will be contacted for an online interview.

Job Contact Name: Assoc. Prof. Hemant Tyagi

Job Contact Email: hemant.tyagi@ntu.edu.sg



Position Title: Postdoctoral Research Fellow in Mathematics

Position Type: Postdoctoral 

Location: NTU, Singapore 

Deadline: The position is open until filled

Research Opportunities at the Division of Mathematical Science of NTU Singapore

We are excited to announce multiple research opportunities in mathematics at the level of PhD positions for graduate students and postdoctoral research fellowships within the framework of a 5-year research grant on Geometric Optimization and Design in Learning and Robotics. The positions are ideal for pure and applied mathematicians, physicists, and candidates with expertise in closely related fields who are interested in research at the interface between geometry, analysis, computation, and machine learning.

Postdoctoral positions

Applicants for postdoctoral positions are expected to have a strong background in mathematics with a PhD degree in mathematics or a closely related field, combined with recent research experience in the development of mathematical results or tools with potential or realised applications to problems in fields such as data science, robotics, and machine learning. Postdoctoral appointments will be for an initial duration of 1 year with the possibility of renewal to 2 or 3 years depending on research outcomes. Postdoctoral appointments can commence at any time during the year.

Requirements:

  • PhD degree in Mathematics/Physics/Computer Science/Statistics or related fields
  • Evidence of excellence in at least one of the following areas: analysis, differential geometry, optimization, probability and statistics
  • Evidence of recent high-quality research output
  • Good communication skills including fluency in English

Interested candidates should contact Asst. Prof. Cyrus Mostajeran with their CV for consideration.

Job Contact Name: Cyrus Mostajeran

Job Contact Email: cyrussam.mostajeran@ntu.edu.sg



Position Title: Postdoctoral Research Fellow in Computational and Applied Mathematics

Position Type: Postdoctoral 

Location: NTU, Singapore 

Deadline: The position is open until filled 


Research Opportunities at the School of Physical and Mathematical Sciences of NTU Singapore

We are excited to announce multiple research opportunities in applied mathematics at the level of PhD positions for graduate students and postdoctoral research fellowships within the framework of a 5-year research grant on Geometric Optimization and Design in Learning and Robotics. The vacancies are targeted at applied mathematicians, computational scientists, physicists, and candidates with expertise in closely related fields who are interested in research at the interface between geometry, mechanics, materials science, computation, and control theory. 

Postdoctoral position

Applicants for postdoctoral positions are expected to have a strong background in applied and computational mathematics with a PhD degree in mathematics, physics, mechanical engineering, or a closely related field, combined with recent research experience in the development of mathematical or computational tools with applications to problems in mathematical biology, mechanics, control theory, or robotics. Postdoctoral appointments will be for an initial duration of 1 year with the possibility of renewal to 2 or 3 years depending on research outcomes. Postdoctoral appointments can commence at any time during the year.

Requirements:

  • PhD degree in Mathematics/Physics/Computer Science/Mechanical Engineering or related fields
  • Evidence of excellence in at least one of the following areas: analysis, differential geometry, optimization, mechanics, scientific computing, control theory
  • Evidence of recent high-quality research output
  • Good communication skills including fluency in English

Interested candidates should contact Asst. Prof. Cyrus Mostajeran with their CV for consideration.

Job Contact Name: Cyrus Mostajeran

Job Contact Email: cyrussam.mostajeran@ntu.edu.sg




Position Title: Research fellow 

Position Type: Postdoctoral 

Location: NTU, Singapore 

Deadline: The position is open until filled 

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

  • Conduct independent research

  • Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

  • Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

  • Supervise and lead a team of full-time and part-time research staff

  • Play a central role in coordinating and running of neuroimaging study

  • Develop and/or manage data analysis pipelines

  • Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

  • Carry any other duties as required by PI and co-PI(s)

Job Requirements:

  • PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields

  • Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

  • Knowledge and experience in social science research methodologies

  • Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

  • Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)

  • Familiar with coding (e.g., in R, MATLAB, Python)

  • Experience with research project management and supervision of research staff and students

  • Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

  • Good leadership skills

  • Self-directed learner who can effectively picks up relevant skills as needed

  • Self-motivated, able to work independently to collect data, analyse data, and communicate findings

  • Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred

  • Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred

  • Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred

  • Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

  • Good knowledge of cognitive functions and cognitive neuroscience theories and techniques

  • Good or working knowledge of machine learning techniques

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


Webpage: https://ntu.wd3.myworkdayjobs.com/en-US/Careers/job/Research-Fellow--Experimental--Computational-Neuroscience-_R00016052 


Job Contact Name: Cheong Kang Hao

Job Contact Email: kanghao.cheong@ntu.edu.sg



Position Title: Research fellow 

Position Type: Postdoctoral 

Location: NTU, Singapore 

Deadline: The position is open until filled 

A Postdoctoral Research Fellow position is available in the School of Physical and Mathematical Sciences at Nanyang Technological University with a focus on robust optimization and procurement management. The post-holder 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 Responsibilties:

  • Conducting research on online resource allocation with limited offline data for generalized assignment problems.

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

  • Providing basic administrative support.

Job Requirements:

  • Ph.D. in Operations Research, Mathematical Optimization, Industrial Engineering, or a related field.

  • 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.

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


Webpage: https://ntu.wd3.myworkdayjobs.com/en-US/Careers/details/Research-Fellow--Operations-Research-_R00018021?q=R00018021


Job Contact Name: Yan Zhenzhen

Job Contact Email: yanzz@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: 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


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