We are seeking a Research Associate to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to Developing Video Traffic Data based Intelligent Transport Fundamental Core Techniques.

Key Responsibilities:

• To independently undertake research in spatial temporal learning
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
• To provide guidance and support to any students associated with the project
• To attend, contribute, and where necessary lead relevant meetings
• To undertake any other duties relevant to the programme of research

Job Requirements:

• Master’s degree in Computer Science, or a related discipline
• Have a solid foundation in at least two of following areas: Computer Science, Machine Learning, Deep Learning, Data Management
• Strong publication records in top-tier machine learning conferences/journals, such as NeurIPS, ICLR, ICML, AAAI, etc.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn

We regret that only shortlisted candidates will be notified.

Position Title: Accountant

Job Summary: To be responsible for managing financial information, maintain financial records, prepare financial statements and ensure compliance with accounting regulations. You will work closely with other departments to ensure financial data is accurate and up-to-date.

Responsibilities:

• Maintain financial records and ensure accuracy of information

• Prepare full set of financial statements such as balance sheets, income statements, and cash flow statements

• Help to manage accounts payable and receivable

• Ensure compliance with accounting regulations and standards

• Prepare tax returns (GST) and other statutory filings

• Assist in budget preparation and forecasting

• Develop and maintain accounting policies and procedures

• Liaise with external auditor, tax agent and authorities

• Handle other ad-hoc financial and accounting tasks as required

Requirements:

• Bachelor's degree in Accounting, Finance or equivalent

• At least 2 to 3 years of relevant experience in accounting or finance

• Strong understanding of Singapore accounting regulations and standards

• Proficient in accounting software such as MYOB advantageous

• Strong analytical and problem-solving skills

• Excellent attention to detail and accuracy

• Strong communication and interpersonal skills

• Ability to work independently and as part of a team

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract at the Science of Learning in Education Centre, Office of Education Research (renewable).

Project Title:

"Peer Power 2.0: A Longitudinal Investigation of Students’ Peer Networks and

their Academic, Motivational, Social and Psychological Outcomes" (OER 30/22 ISC)

Project Introduction:

Social networks are webs of relationships that serve as means for individuals to have access to knowledge, resources, support and opportunities. In particular, peer networks play a significant role in influencing students’ behavior, dispositions, well-being, and academic performance, especially during secondary school years. Peer networks provide a context for knowledge sharing, which guides the formation of self-identity and emergence of group norms. The proposed study is a longitudinal investigation aiming to examine the interplay among friendship network dynamics and academic, motivational and socio-emotional outcomes of students attending mixed-ability (i.e., with different academic achievement levels) or similar-ability (i.e., with similar academic achievement levels) form classes. In particular, the proposed study aims to examine (1) how the students’ peer relationships change over four years in secondary school; (2) how such changes in peer relationships are associated with changes in student outcomes; and (3) how students facing the risk of social isolation can be supported. The study is framed in a unique situation that allows the comparison of peer relationships and related outcomes of two groups of students: those from schools piloting a new education policy initiative that no longer segregates students into different academic courses and provides in-class opportunities for cross-ability interactions and those from schools that are streaming students into different academic courses and placing students with similar abilities and strengths (i.e., same academic course) in the same class. The study has important policy and practice implications as it provides insights into the potential benefits and challenges of introducing socialization structures at school.

Requirements for Research Associate

Essential

• Master’s degree in a relevant discipline (e.g. Data Science and Analytics, Education, Psychology, Social Sciences)
• Proficiency in academic writing
• Good organizational skills and able to work within tight deadlines
• Good interpersonal, written and verbal communication skills
• Interest in education and/or educational research
• Proficiency in R, SPSS, Qualtrics and Microsoft Office
• At least one-year experience in conducting social network analysis
• Proficient in quantitative data analysis
• A strong team player who is also able to work independently and flexibly in a small team

Preferred

• Master’s Degree in Data Science and Analytics
• Experience in working with teachers and students in Singapore schools
• Experience in doing qualitative and longitudinal data analysis
• With evidence of proficiency in academic writing, such as published journal papers and/or book chapters

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00015829

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Science-of-Learning-In-Education-Centre--Office-of-Education-Research---NIE-_R00015829)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

A Research Assistant/Research Associate position is currently available in the Nanyang Environment & Water Research Institute.

Key Responsibilities:

• Support research work on the application of bioassays in environmental risk assessment and quality monitoring (environmental sample preparation, nucleic acid extraction, reagent preparation, biochemical assays, cell-based assays etc.)
• Validate methods and conduct assays on emerging contaminants and environmental samples
• Document, analyze and manage the data
• Assist on the preparation of research reports, presentations, and manuscripts
• Prepare SOP and risk assessment
• Support existing research personnel in the same projects
• Assist in daily operational, administrative, and logistics duties related to the research activities

Job Requirements:

• Bachelor degree in Life Sciences, Biochemistry, Molecular Biology etc with more than 1-year work experience in laboratory setting or research lab
• Interested candidates holding master degree with no working experience may also apply
• Knowledge and experience on operation, sample preparation, data analysis and essential method optimization for cell assays (cell culture and various cell-based assays) is a must
• Knowledge and experience on operation, sample preparation, data analysis and essential method optimization for molecular assays (qPCR, ELISA, reporter assays, fluorescent staining etc ) is highly preferred
• Knowledge and experience in fluorescent microscopy and imaging-based assays preferred
• Knowledge of environmental sample preparation and assay development is a plus
• Experience in in vivo assays is a plus
• Knowledge and experience on advanced biochemical methods such as MS-based methods is a plus
• Highly motivated person who is able to work independently.
• Good communication skills & team player
• Interest in research work
• Highly driven, independent and resourceful

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

Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

This is a call for hiring researchers to conduct high quality research in the area of quantum thermodynamics, in particular questions of bridging different theoretical frameworks, finding applications in many-body physics, or generalizations of the resource-theoretic approach to account for practical aspects of quantum thermodynamics.

Key Responsibilities:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics
• Conduct research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Job Requirements:

• PhD in the area of quantum information and quantum thermodynamics
• Consistent research track record in terms of publication for the above areas of study.

In particular, the following possible areas:

• Studying the extension of resource-theoretic quantum thermodynamics to account for practical considerations
• Exploring the applications of theoretical quantum thermodynamics to study many-body systems
• ​Establishing the precise role of catalysis in quantum thermodynamics

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

Nanyang Business School (NBS) invites applications for the position of Senior Research Fellow (Post-doc) with Prof. Xin Chang’s research group. This position is supported by a Tier III grant to establish a Climate Transformation Programme (CTP) at NTU. As part of this programme, the Climate Finance Cluster will assess the multifaceted business risks posed by the physical impacts of climate change, narrow the protection gap, and facilitate the transition to a low-carbon economy.

The Senior Research Fellow will be responsible for developing procedures to measure and price risks arising from climate change suitable for each company so that climate risk can be managed by companies and hedged by investors, and seeing this work through to publication in major research journals.

Key Responsibilities:

• Use computational linguistic tools and machine learning techniques to analyze discussions on climate change in corporate social responsibility reports, conference call transcripts, and the Management Discussion and Analysis section of companies’ annual reports
• Construct a dataset that can produce a climate risk fact sheet containing essential information about various climate risk exposure (e.g., drought, flooding) of a region or a city
• Develop a new multifactor asset pricing model containing a climate risk factor, which investors can use to effectively price in climate change risk and hedge climate risk
• Handle data management and statistical analyses
• Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries
• Mentor junior colleagues and students
• Handle writing and publication of results in peer-reviewed journals

Job Requirements:

• PhD degree in statistics, computer sciences, economics, or a closely related field
• Excellent knowledge of computational linguistic tools and machine learning techniques
• Experience with data analysis with Python and STATA
• Prior experience in publishing in peer-reviewed business, economic, or scientific journals
• Excellent oral and written communication skills in English
• Ability to work independently to develop research in challenging environments
• Collaborative, with an interest in working with other researchers and scientists (this is a large team project) to produce high-quality and impactful research
• Interest in climate, green, or sustainable finance

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document. Enquiries about this position can be made to Nur Masturah ([email protected]).

Review of applications will begin on 15th Jan 2024.

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