The Dementia Research Centre (Singapore) [DRCS], part of the Lee Kong Chian School of Medicine (LKCMedicine), is dedicated to advancing research on cognitive impairment and dementia spectrum disorders. As a multi-study research center, DRCS focuses on the pathobiology of Asian dementia and innovative models of care for cognitive disorders. Led by Associate Professor Nagaendran Kandiah, an internationally renowned clinician-scientist, DRCS is spearheading transformative research initiatives like the BIOCIS study, CHOICE project, and AMBITION study.

Position: Research Assistant

We are seeking a highly skilled and motivated Research Assistant or Research Associate with a Bachelor’s or Master’s in Biomedical Engineering or Neuroscience or Psychology and related fields, to contribute to ongoing and future research initiatives, including BIOCIS (Biomarkers and Cognition Study, Singapore), CHOICE (Cerebrovascular Health, Optical Imaging, Cognition, and Evaluation of Lifestyle Intervention Study), and AMBITION (Asian Mild Cognitive Impairment – Blood-based Biomarkers, Ischemia, and Neuroinflammation Changes in the Asian Brain). The successful candidate will play a key role in advancing neuroimaging and optical imaging research in dementia.

Key Responsibilities:

Data Management and Analysis:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging and eye imaging studies
• Collaborate with data analysis teams to ensure integrity and clarity in the research outputs across all studies.
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Collaboration and Communication:

• Work collaboratively with multidisciplinary teams within DRCS and external collaborators to ensure the success of multi-study initiatives.
• Communicate research findings in peer-reviewed publications, internal seminars, and conferences.

Requirements:

• Bachelor's or Masters in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging or eye imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

The Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. Learn more about ROSE Lab at http://rose.ntu.edu

Key Responsibilities:

The Research Associate will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, as well as Hallucination Detection and Mitigation. The roles of this position include:

• Working in research teams on Multimedia Forensics projects in Generative AI, Hallucination Detection, and DeepFake Detection.
• Creation of large-scale datasets for research and algorithm evaluation.
• Be part of a research team in the execution of funded research projects.
• Assist in drafting of proposals for research grants in the above areas.

Job Requirements:

• Masters in Computer Science, Data Science, Electrical/Electronic Engineering, or related field.
• Research experience in Computer Vision, Multimedia Forensics, Deep Learning, Trustworthy Machine Learning, and AI Security, as well as working with large-scale datasets.
• Experience with deep learning for image/video understanding, Generative AI, hallucination detection & mitigation, and adversarial/backdoor/poisoning attack/defense is essential.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds.
• Excellent verbal and written communication skills.
• Entry level candidates are welcome to apply

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

Job Summary:

As a Market Research Analyst at A2000 Solutions, you will contribute to data-driven marketing strategies while supporting the marketing team with content creation and design-related tasks. This role involves gathering market data, preparing actionable insights, and creating compelling visuals and marketing materials to enhance our brand presence and drive customer engagement. The ideal candidate combines analytical expertise with creative skills to support ERP, POS, and inventory management solutions marketing efforts.

Key Responsibilities:

Market Analysis:

• Conduct market research to identify trends, customer needs, and competitive activities in the business solutions industry.
• Analyse market data to provide actionable insights for the marketing team.

Customer Insights:

• Design and conduct surveys, focus groups, and questionnaires to gather customer feedback.
• Translate customer data into strategies to improve product positioning and marketing effectiveness.

Competitor Analysis:

• Research competitor strategies, pricing, and customer engagement tactics.
• Prepare detailed competitor analysis reports and recommend strategies for A2000's competitive advantage.

Content Preparation:

• Create and refine marketing materials such as brochures, social media posts, email campaigns, and infographics.
• Collaborate with the design team to develop visually appealing content that aligns with A2000’s branding.

Design Support:

• Assist in designing promotional materials, including posters, banners, and digital ads.
• Ensure all designs are consistent with A2000’s corporate identity and marketing goals.

Campaign Optimization:

• Support marketing campaigns by providing data-driven insights to improve targeting and engagement.
• Evaluate and report campaign performance metrics, suggesting areas for improvement.

Trend Monitoring:

• Stay updated with industry trends, market demands, and technological advancements affecting the ERP and business solutions landscape.
• Recommend innovations to align marketing strategies with current trends.

Collaborative Efforts:

• Work closely with sales, product development, and marketing teams to ensure cohesive messaging and strategy.
• Contribute to the preparation of reports, case studies, and presentations for internal and external use.

Content and Presentation:

• Prepare professional, data-backed reports and presentations for stakeholder engagement.
• Assist in drafting scripts, storyboards, and layouts for marketing videos or webinars.

Process Improvement:

• Identify inefficiencies in marketing processes and suggest improvements.
• Propose new tools and technologies to streamline research, content creation, and campaign execution.

Ad-Hoc Tasks:

• Perform any additional duties as and when assigned by the reporting head to support the marketing department’s goals.

Key Requirements:

Education: Bachelor’s degree in Marketing, Business Administration, Communications, Design, or a related field.

Experience: 1-2 years of experience in market research, content creation, or a similar role. Fresh graduates with relevant internships are encouraged to apply.

Skills:

• Proficiency in data analysis tools (e.g., Excel, Power BI) and design software (e.g., Adobe Photoshop, Canva).
• Strong communication and content writing skills.
• Knowledge of digital marketing metrics and platforms (e.g., Google Analytics, SEO tools).
• Creative mindset with an eye for design and branding consistency.
• Excellent organizational and project management skills.

What We Offer:

• An opportunity to shape marketing strategies for leading ERP and business solutions.
• A collaborative and innovative work environment.
• Training and development in market research, design, and digital marketing tools.
• Competitive salary and performance-based incentives.

About A2000 Solutions:

A2000 Solutions is a leading provider of ERP, POS, and inventory management solutions. Our innovative tools are designed to help businesses thrive by improving efficiency and scalability. Join us in creating impactful marketing strategies that drive growth and customer satisfaction.

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

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.

Evaluating the errors associated with Machine Learning (ML) predictions is an active area of research crucial for the safe and effective deployment of ML techniques. These errors have two components. The epistemic error refers to the degree of similarity between the analysed data and the ones the uses to train the machine. The uncertainty error refers to the noise in the training and test data.

The Pica Ciamarra groups is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research to develop physics-inspired model for error estimation in ML. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing, in strict collaborations of partners of the CNRS@Descartes.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Devise physics-inspired ML approaches to estimate epistemic and uncertainty errors.
• Construct synthetic dataset suitable to the designed models.
• Implement models for error estimation in classification and regression tasks.
• Interact with partners of the CNRS@Descartes project to foster the application of the developed models to use cases.
• Validate models via large scale simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• Ph.D in physics or related disciplines
• 2 years of relevant experience is preferred
• Experience in Machine Learning and modeling
• Knowledge of Python and C++
• Able to multitask and work in a multidisciplinary team, demonstrate initiative and work independently with strong interpersonal skills.
• Good publication record in international journals

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 to inform that only shortlisted candidates will be notified.

Research Assistant

The Earth Observatory of Singapore (EOS) invites applications for the position of Research Assistant who will work with Assistant Professor Aron Meltzner’s research group.

Key Responsibilities:

• Assist with surveying, sample collection, sample processing, carrying of equipment, and similar tasks
• Analyze and interpret tide-gauge data and sea-level proxy data from coral microatolls
• Arrange logistics and handle administrative requirements associated with field work, locally and overseas
• Assist with procurement of equipment and supplies, and similar administrative tasks
• Assist with obtaining research permits, and writing and submitting annual reports
• Participate in the preparation of presentations for conferences and of manuscripts for publication

Job Requirements:

• The candidate should possess a Bachelor’s degree in geological or environmental sciences or similar field.
• The candidate should have extensive field experience in geological or environmental sciences, including field surveying and working in coastal environments.
• The candidate should have working knowledge of coral microatolls and how they grow.
• The candidate should have experience in Adobe® Photoshop®, Adobe® Illustrator®, Microsoft® Excel®, QGIS, R, RStudio, and Agisoft Metashape.
• The candidate must be able to swim, as this will be essential when working in the field.
• Experience doing remote field work overseas will be advantageous.
• Willingness to work occasional early mornings, evenings, or weekends (with time off in lieu as appropriate) is essential, as the timing of field work is dictated by tides and seasons.

Application Procedure:

Interested applicants are invited to submit a full CV for consideration for the post.

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

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Carry out geochemical surveys
• Conduct field and lab work to measure carbon flux
• Assist in administrative work to support the project
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Job Requirements

Bachelor’s and/or Masters degree in Earth Sciences, Geochemistry Marine Biology, Ecology, Geography, Environmental Studies, or other similar discipline. The candidates should have a strong passion for marine environment-related research. Research skills include geochemical survey techniques and analysis, sampling designs and lab protocols to measure carbon flux, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Skills:

• Geochemical survey techniques and analysis
• Sampling designs and lab protocols to measure carbon flux
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience:

• Ability to conduct survey and analytical work in field and lab
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:

We are seeking for an enthusiastic and capable computational scientist to help identify protein or metabolite biomarkers of disease risk or treatment response. The scientist will work with an interdisciplinary team of molecular biologists, clinicians, epidemiologists, statisticians and engineers to analyses human data from diverse cohorts. The research will have an impact on adolescent and adult health, as well as develop AI technologies for developing interventions.

Job Responsibilities:

• Apply advanced statistical and computational methods to analyze large datasets of protein or metabolite profiles.
• Develop multi-modal data analysis pipelines for drug discovery and disease modifying strategies
• Perform machine learning analyses on large biomedical datasets for diagnostic or therapeutic applications
• Manage research projects, from hypothesis generation to results dissemination
• Design protein profiling studies and help prepare funding proposals
• Coordinate collaborations with external advisors, institutions, and interdisciplinary teams.

Job Requirements:

• PhD in Chemistry, Bioinformatics or Biomedical Engineering or a related field
• Expertise in protein profiling and computational modelling of multi-modal patient datasets
• Developed or used machine learning approaches to predict diagnosis or health outcomes
• Demonstrated ability to publish in high-impact journals on protein biomarkers in humans and approaches to profile them

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture

About the Company

DQ Lab Pte Ltd is a global social enterprise based in Singapore. It is dedicated to providing global benchmarking tools of the DQ global standards through real-time data assessment and visualization that empower individuals, organizations, and nations to be digitally safe and competent. DQ Lab is affiliated withDQ Institute (DQI), an international think-tank that is dedicated to setting global standards for digital intelligence and to ensuring the safety, empowerment, and well-being of individuals, organisations, and nations in the digital age. DQI seeks to promote and coordinate digital intelligence education worldwide by using the DQ framework as a set of global standards for digital literacy, skills, and readiness (https://www.dqinstitute.org/; https://www.poweredbydq.com/ ).

Responsibilities

We are looking for researchers who can bring their talents to contribute to the evaluation and accreditation of digital literacy educational programs. This exciting project will involve partnership work with large scale international organisations such as the international telecommunications union (ITU), IEEE, the G20 Civil Society, and others.

As a Research & Development Analyst, you will bring enthusiasm, energy, and passion to your work on issues at the forefront of education and technology. Our team values problem-solving, analytical and statistical skills. Our ideal candidates are smart, creative, analytical thinkers with meticulous attention to detail.

The researcher will take the lead on a scheme where DQ Lab evaluates and accredits the educational content of partners and clients. You will manage relationships with international partners including governments, NGOs, schools, universities, and private companies. Moreover, you will study their educational materials, evaluate their alignment with DQ Global Standards and produce on-/off-line reports and presentations while working alongside our partner organisations.

You will be part of an international team working closely with colleagues from data science and IT development. In addition, you will work closely with partners and advisors who work at the cutting edge in the fields of psychology, public policy and education research. You will engage with partners from globally renowned NGOs and social enterprises as well as figures from various governments.

Important Requirements

● Highly knowledgeable in psychology, education or political science

● Have a keen interest in education, technology and future readiness

● Have a bachelor’s or master’s degree in psychology, education or another relevant field

● Should be independent and able to work as part of a small team

● Curious, creative and willing to learn

Desired Background

● Education: Hold a bachelor’s or master’s degree in psychometrics, psychology, education, political science, global studies or a related field.

● Experience: Relevant professional experience with research or technology companies is desirable.

Knowledge, Abilities, and Skills

MUST

● Exceptional theoretical and practical knowledge in the conception of studies and questionnaires.

● Excellent verbal and written communication skills.

● Be able to research strategy and support the strategic direction.

● Be able to translate science to educators and policy makers.

● Be able to understand statistics and to communicate with data scientists.

● Be able to work effectively independently and as part of a team.

● Be able to adapt to a dynamically changing environment.

PREFERRED

● Agile in managing multiple tasks and priorities.

● Strong analytical and problem-solving skills.

● Experienced in UX/UI design or product management.

● Strong interpersonal skills; ability to work effectively independently and as part of a team.

● Proven problem-solving skills.

● Excellent interpersonal and communication skills.

Please apply here: https://talent.sage.hr/jobs/55729b46-20ca-4792-9df2-360f30fbb5e3

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Research Software Engineers with the following backgrounds and experience:

- Full-stack Software Development

- Distributed Systems

- Hospital Information Systems and Healthcare Applications

- Cybersecurity and Software Security

- High-performance Computing

- Network/System Administration

As a Research Software Engineer, the successful candidate will contribute to these developments by producing software tools, platforms and libraries as vehicles to carry out impactful research, develop engaging and interactive demonstrators and translate early-stage research prototypes into robust and usable applications.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Life Sciences Institute is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

We are looking for an individual trained in cell culture, transfection and standard molecular biology assays such as confocal microscopy, flow cytometry, western blot, immunohistochemistry.

The job would include performing:

1. In vitro experiments with cell culture
2. Standard molecular biology assays such as immunostaining, convocation microscopy, flow cytometry, cryosectioning
3. Performing in-vivo experiments with rodents - involves rodent anaesthesia, perfusion, dissection
4. Helping out with purchasing items and laboratory housekeeping

Qualifications

Applicant should:

• Successfully completed Bachelor's Degree in Life Sciences
• Preferably have prior knowledge in tissue cryo-sectioning, preparation of paraffin-embedded tissues and familiar with immunofluorescence staining of animal tissues.
• Be comfortable with animal handling. Prior experience is preferred but not required
• Preferably have prior experience in basic laboratory techniques such as cell culture, histology, and confocal microscopy is advantageous.
• Proficient in English.
• Preferably be proficient in lists of software eg. ImageJ, GraphPad Prism and BioRender.
• Be highly motivated, independent, detail-oriented

Please include your cover letter, CV and names of 3 references (name, institution, email) upon application. Shortlisted candidates will be contacted.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for a Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for optimizing enzyme production.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statistical analysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently hiring for a position of Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for food product development.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statisticalanalysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

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

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1

Project Introduction:

This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.

Project 4 Research Questions

1. To what extent do adolescent lifestyles and wellbeing differ across groups of students cross-sectionally,?

2. What are the contributions of individual, school, and home factors to adolescents' emotional wellbeing?

3. What is the association between adolescent relationships (with parents, teachers, peers) and wellbeing?

Project 6 Research Questions

1. What is life like for adolescents with SEN in secondary schools?

2. How do their lifestyle similar or different from that of their peers?

3. How do students with SEN in secondary schools do in terms of their wellbeing?

Requirements

• Bachelor’s degree or above, preferably in Psychology, Sociology, or a related field
• Familiar with the Singapore education system (mainstream / special education)
• Familiar with survey data collection and management
• Able to perform statistical analysis confidently (e.g., factor analysis, regression)
• Proficient in Microsoft WORD, EXCEL, and POWERPOINT, TEAMS applications
• Possess strong interpersonal communication, writing and language skills
• Possess knowledge of qualitative and quantitative statistical software programs
• Able to work independently with minimal supervision.
• Able to work cooperatively in both small (<3 pax) and large teams (>10 Pax)

Preferred

• Proficient in using at least one statistical software package (e.g., SPSS, R, Stata, Mplus)
• Experience in working with databases.
• Experience with Qualtrics
• Familiar with major theories in educational social psychology (e.g., motivation, self and identity, social and cultural capital)
• Possess relevant experience in educational or psychological research.
• Familiarity with the Special Education Sector will be beneficial for Project 6

Responsibilities

• Liaise with participating schools/parents/teachers and other researchers involved in the project
• Prepare for, and implement data collection
• Maintain records and document research progress
• Assist with data preparation, entry, and analysis
• Assist in the administration and management of project related matters
• Assist in writing of reports and papers for publication
• Conduct and summarise academic literature reviews
• Learn and perform statistical analysis independently
• Support the project in Administrative work (handling PTRAs, logistics, voucher distributions, participant engagement events, Taking meeting minutes, supporting International Advisory Panels
• Other tasks as assigned by the Principal Investigator / Co-PIs

Application

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

Please include your name in your CV file name.

Workday Job Requisition ID: R00019321

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019321)

Closing Date

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

The National Institute of Education (Nanyang Technological University, Singapore) invite suitable applications for the position of Research Associate on a one-year contract (with possibilities of extension) at the Office of Education Research, Science of Learning in Education Centre (SoLEC).

Project Title: Science of learning-based interventions to improve literacy, numeracy, and well-being in students: an umbrella review

Project Information: The main objective of this project is to synthesize work on interventions that have been designed to level-up students who face difficulties in literacy, numeracy, and well-being from Primary to Secondary levels, including those from disadvantaged backgrounds or with special needs. By means of a PRISMA framework, we will conduct a systematic literature search and screening to identify eligible articles for each topic. A preliminary literature search will be conducted to estimate the amount of literature on each topic. As approach to synthesize the literature, we will use an umbrella review for each topic, i.e., focusing on meta-synthesis, synthesis, and review literature. The findings will allow the identification of effective interventions for each topic in facing challenges throughout the students’ school period.

Requirements:

• Academic qualification:

Master’s degree in Education and/or Psychology or similar areas

• Work experience:Prior experience conducting systematic literature reviews
  Prior experience conducting qualitative and quantitative analysis
  Prior experience conducting meta-analysis
  Prior experience disseminating research findings targeting the general public and academic audiences
  
  
• Desirable interests, skills, and attributes:Passion for teaching and learning
  Interest in effective teaching in school settings
  Have good communication and organizational skills
  Have good interpersonal skills
  Be a good team-player, proactive, and able to work independently
  

Responsibilities:

• To conduct systematic literature reviews (summarizing, coding, and organizing relevant literature).
• To compute different statistical analyses for the findings obtained.
• To contribute to research translation and dissemination of findings targeting the general public and academic audiences.
• To perform other tasks as required by the Principal Investigators.

Application

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

Workday Job Requisition ID: R00019323

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019323)

Closing Date

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

Desire Lines provide strategic consultancy for environmental, cultural, and social-impact organisations and initiatives. Based in Asia and well-connected with the world, we’re curious about places, people, policies and their potentials.

We are looking for a proactive and positive Editorial & Research Assistant to join our team. In this new role, you will work closely with DL colleagues, along with a dynamic group of external partners to support our projects. If you enjoy paying close attention to detail, are professional, discreet and meticulous in your work and have a flair and interest in writing, editing and research, this could be the role for you.

The Editorial & Research Assistant will provide support to the team through:

• Writing and editing texts for reports, books, articles and web
• Conducting image research and securing rights
• Conducting desktop research in support of publication development
• Proofreading documents
• Editing interview and event transcripts
• Participating in meetings with DL team / partners / clients, including note-taking
• Various administrative and logistical tasks as the need arises.

This is a 90% virtual role; the successful candidate will work independently from Singapore using their own laptop.This job description covers the main responsibilities and conveys the spirit of the sort of tasks that are anticipated proactively from the Editorial & Research Assistant. Other tasks may be assigned as necessary according to emerging organisational needs and the Assistant’s individual talents.

Required Skills and Competencies

• Minimum two years of working experience after completing a university degree in a relevant subject (e.g. Liberal Arts, English, Journalism, Media, Creative Writing). Superb knowledge of and love for the English language, with outstanding written and spoken communication skills.
• Demonstrable track record in writing, editing and proofreading in professional, academic or voluntary (e.g. an independent publication) settings.
• Proficiency in desktop and bibliographic research and fact-checking.
• Demonstration of initiative, proactiveness and planning; able to anticipate needs.
• Strong problem solving, prioritization, organizational and time management skills.
• Comfort alternating between independent work with light-touch guidance, andsprints of close team working.
• Able to maintain professionalism, composure and confidentiality under conditionsof stress (e.g. short time lines, multi-stakeholder management).
• Strong proficiency with Word/Pages/Google Docs, Google Slides, Excel required;Adobe Creative Suite a welcome bonus.
• Working knowledge and interest in creative industries, culture and sustainability isdesirable.
• Experience working with digital-first outputs (e.g. websites) is a plus.

Further Information
Working hours: Part time, 24 hours per week, for an initial six month period, with a possibleextension, starting from end February or start of March 2025.

Remuneration: SGD1,920/monthApplicants must legally reside in Singapore and be either Singaporean Citizens or Permanent Residents.

This role involves leveraging computational tools and methodologies to analyze and interpret complex biological data, particularly in the context of lymphoma studies. The incumbent will be responsible for utilizing programming languages such as Python or R, to develop and implement bioinformatics pipelines that facilitate genomic and proteomic analysis. This role requires proficiency in bioinformatics tools and software, as well as familiarity with databases and data management systems relevant to biological data.

You will apply strong statistical analysis skills and data visualization techniques to translate findings into actionable insights, thereby supporting research objectives and enhancing our understanding of lymphoma. Critical thinking and problem-solving abilities are essential for addressing research challenges, while excellent verbal and written communication skills will enable effective collaboration with multidisciplinary teams. Additionally, experience with high-throughput sequencing data analysis and interpretation is crucial for the successful execution of the role, ensuring that the organization remains at the forefront of innovative research in the field.

Requirements:

- PhD in Bioinformatics or its equivalent.

- Proficiency in programming languages such as Python or R.

- Experience with bioinformatics tools and software for genomic and proteomic analysis.

- Familiarity with databases and data management systems relevant to biological data.

- Strong statistical analysis skills and experience with data visualization techniques.

- Ability to interpret complex biological data and translate findings into actionable insights.

- Strong critical thinking and problem-solving abilities to address research challenges in lymphoma studies.

- Excellent verbal and written communication skills to collaborate with multidisciplinary teams, including healthcare professionals and local/international research collaborators.

- Experience with high-throughput sequencing data analysis and interpretation.

- Proficient in Microsoft Office applications.

- Proficient in English.

- Meticulous, fast and accurate, independent and self-motivated with good time management skills.

- Experience working in a research lab would be an advantage.

Job Description

The Skin Research Institute of Singapore (SRIS) is a world-class research institute dedicated to improving skin health for all. Lee Kong Chian School of Medicine’s Skin Program has an important role in SRIS, focusing on inflammation and skin integrity and led by prominent scientists in the field. Our research covers the full spectrum from basic to applied, always departing from practical issues faced by consumers and people with skin diseases alike. Our work has strong impact as reflected in publications in high-ranking journals, high-value collaborations with industry and successful commercialization in spin-out companies

We are looking for a Senior/Research Fellow to work on advanced in vitro models of Asian aging skin. The role will focus on < the development of skin equivalents that mimic key aspects of aging in Asian skin types as faithfully as possible. The work is a key effort in a large Programme that aims to improve our understanding of Asian skin aging and develop interventions to support Asian skin health.

Key Responsibilities:

• Develop and test in vitro aging skin models in collaboration with other partners in the program
• Communicate and coordinate with other efforts (work packages) in the program
• Regular reporting of findings to program stakeholders
• Support programme manager in reporting and (financial) administration on the skin model work package
• Where necessary, support/supervise research assistants and (under)graduate students
• Participate in general lab upkeep and maintain the highest lab safety standards
• Active participation in scientific lab and institute events such as lab meetings and seminars

Job Requirements:

• PhD degree in a biomedical (or related) research field
• Excellent written and oral communication skills
• Proficient in general molecular biology, (advanced) mammalian cell culture, modern microscopy techniques and image analysis
• Committed to scientific excellence, and with a practical mindset.
• Preferred: prior exposure to skin research, knowledge of microbiology, some experience with R/Python and data analysis.
• Able to work collaboratively in a multidisciplinary environment and to deal with time pressure.
• Entry level candidates are welcome to apply

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with PIs Associate Professor Duane Loh and Assistant Professor Tan Yongzi on computational phase retrieval for cryo-electron microscopy of floppy, low-contrast RNA molecules.

The main responsibilities of the position include:

1. Develop realistic forward model to simulate noisy cryo-electron micrographs from RNA biomolecules.
2. Perform computational phase retrieval on 2D micrographs using physics-informed neural networks.
3. Infer structural variability of floppy biomolecules from computationally phase-retrieved micrographs.

Qualifications

Ph.D. in physics-related disciplines.

Experience:

• Fluent in high-performance scientific computing and imaging in python, and comfortable in the Unix environment.

Skills:

• Strong foundation in computational optics, deep learning, high performance computing, and structural biology in cryo-EM

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

Our research group focuses on research areas relevant to macromolecular and hybrid materials, including topics in the fields of polymer science and engineering, composite science, environmental science, and so on.

Key job purpose is to develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.

Key Responsibilities:

• Develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.
• Conduct research and development activities on polymer pre-treatment and mechanical/chemical upcycling, including formulation of problem statement, design and execution of lab-scale and pilot-scale experiments/operations, sample characterizations, data analysis, and so on.
• Engage industrial and academic collaborators to advance the developed technologies from lab-scale verification to pilot implementation.
• Prepare technical reports, intellectual properties documents, safety documents, and academic publications

Job Requirements:

• PhD degree in Materials Science, Polymer Science, Chemical Engineering, or fields related to polyurethane.
• At least 4 years graduate study or working experience in research and development on topics on polymer science, chemical engineering, and green technologies.
• Proficiency in hands-on and characterization techniques such as TGA, DSC, FTIR, DMA, rheology, NMR, CHNS, XRD, XPS, etc.
• Software skills relevant to process design, mass balance, cost analysis, and life-cycle-analysis are favorable
• Industrial experience in polymer upcycling and productization is favorable
• Good team-player, good communication skill, problem solver, thinker and doer, able to exhibit leadership when needed
• Good wet laboratory practice and familiar with considerations on laboratory safety
• Passionate in research and solving real-time environmental issues related to plastic upcycling
• Entry level candidates are welcome to apply

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

The Dementia Research Centre (Singapore) at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore is looking for candidates with PhD training and a research track record in Biomedical science, Psychology and engineering or related disciplines to support our growing portfolio of exciting multimodal neuroimaging analyses in neurodegenerative disorders, especially under the Science of Learning initiative. We are a vibrant team studying brain alterations in the preclinical cognitively normal individuals and in early stages of young and late-onset dementia in subjects from Singapore using multimodal structural and functional brain imaging and statistical analyses to predict disease progression and conversion.

Job Description

The candidate will provide research support to the principal investigator and team in the organisation, processing and analyses of neuroimaging data as well as using various neuroimaging, biomarker and neurocognitive data for developing advanced machine learning algorithms for disease prediction and progression for dementia-related studies at the Dementia Research Centre (Singapore), in adherence to the International Council for Harmonisation Good Clinical Practice (ICH GCP) and protocol requirements. This position offers an excellent opportunity to develop and refine in demand skills in clinical research in the field of ageing and dementia especially under the new Science of Learning initiative at the centre. Successful candidates will assist in high value research endeavours and perform a variety of functions, such as:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging studies
• Organize, fine-tune and execute neuropsychological testing
• Perform project coordination and assist with data collection, organisation and data management under the purview of the grant
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Job Requirements

• PhD in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

A research fellow position is available in the DNA and RNA Editing (DaRE) Laboratory at the School of Chemistry, Chemical Engineering and Biotechnology (CCEB) in NTU. The laboratory, led by Assoc Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing, CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply new genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Analyze experimental data and prepare reports and presentations
• Write and publish high-impact journal papers
• Guide graduate and undergraduate students

Job Requirements:

• A PhD degree from a reputable university in science or engineering
• Strong research experience in biological sciences, bioengineering, biotechnology, or a related discipline (such as genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.)
• Outstanding publication track record, preferably with a first-author paper in a high-impact journal
• Demonstrated ability to work well in a team
• Good working knowledge of the latest genomic technologies

To apply, please submit a CV, brief statement of research interests, and contact information for at least two references to [email protected].

We regret that only shortlisted candidates will be notified.

Please apply here: https://talent.sage.hr/jobs/b0aa80ab-6951-4717-b49e-37ac3c199206

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Machine Learning Research Engineers with the following backgrounds:

- Generative Modelling (particularly LLMs and multi-Agent systems)

- Data science

- High-performance Computing

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

As a Machine Learning Research Engineer, the successful candidate will contribute to the programme by developing and implementing novel machine learning algorithms with focus on security and data privacy, as well as translating recent AI advancements to the healthcare setting.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

At At Nexus Link Pte Ltd, we’re passionate about uncovering actionable insights that drive innovation and success. As a trusted leader in market research and strategic analysis, we empower businesses to navigate the complexities of their markets. Now, we’re inviting a dynamic and detail-oriented Research Analyst (Consulting) to become part of our dedicated team.

Role Overview

As a Research Analyst (Consulting), you’ll play a pivotal role in shaping the strategies that drive impactful decisions. This position offers a blend of analytical rigor and creative problem-solving, providing you the opportunity to dive deep into market dynamics and help shape the future of businesses.

Your Responsibilities

• Dive into market data to identify emerging trends, consumer behaviors, and competitive landscapes.
• Generate actionable insights to uncover growth opportunities and optimize business strategies.
• Craft compelling reports and presentations to deliver data-driven recommendations to stakeholders.

What We’re Looking For

• A Bachelor’s degree in any discipline.
• Fresh graduates with a passion for research and analytics are welcome – on-the-job training will be provided.
• Good analytical and communication skills, with the ability to manage multiple priorities.
• Proficiency in tools like SPSS or R is a bonus, though not essential.
• Relevant experience in market research may qualify candidates for more senior roles.

Why Join Us?

• Your contributions will be rewarded with a salary reflective of your experience and performance.
• Access to continuous training and development opportunities to advance your career.
• Work in an environment that values teamwork, creativity, and mutual respect.

How to Apply

Interested candidates, please send in your resume stating your full personal particulars, work experience, expected salaries and relevant qualifications. (only shortlisted candidates will be notified).

At Nexus Link, diversity fuels our innovation. We are proud to be an equal-opportunity employer, fostering an inclusive workplace where everyone can thrive.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

The successful candidate will join a multi-disciplinary team developing methods for the experimental synthesis of reticular materials. The vision of the team is to automate the discovery and synthesis of materials with properties that are tuned for specific applications. This position requires close collaboration with other teams, necessitating a multi-skilled individual capable of working effectively in a multidisciplinary team environment.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Good command of English and formal writing - for research work purpose
• Adaptable and able to multi-task
• Proficient in MS office applications.

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