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

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential) - Demonstrated experience in using a range qualitative research methods (essential)
  - Track record of publishing in international peer-reviewed journals (desirable)
  - Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply
  

Skills

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

Job Description:

This job involves producing biomaterials through engineered cyanobacterial cell factories by direct carbon capture. To meet the objective of this activity, fundamental study on the improvement of photosynthetic efficiency and carbon utilization, the production performance and efficiencies of assembled cyanobacterial cell factories, bioreactor design for high production of the products will be conducted.

The Research Fellow will have the opportunity to conduct independent research, collaborate actively with multiple research groups and to develop technologies.

Job Requirements:

i) At least a Ph.D degree in chemistry, biological sciences, chemical engineering, materials science and engineering or related areas

ii) Independent, resourceful and able to work in a team

iii) Strong communication skills (both written and verbal), good English writing skills for writing reports and publications

We are seeking highly motivated goal-oriented persons to join our team.

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

A research position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• Bachelor’s / Master's degree in computer science or related degree
• Strong publication record in top-tier IEEE conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

A research position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• Bachelor’s / Master's degree in computer science or related degree
• Strong publication record in top-tier IEEE conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

Our mission in the experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decisions for the products. The supported scenarios include recommendations, push, ads, search, mobile app, UI interaction and service upgrades etc.

Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, and statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.

Responsibilities

• Analytics: Work independently to define, design, prototype, and implement complex exploratory analysis, w.r.t both theoretical and business perspectives.
• Methodology development: Leverage deep statistical expertise to improve and/or create methodologies
• Teamwork: Participate actively and thoughtfully in multidisciplinary teams to implement algorithms in production
• Communication: Effectively communicate insights and recommendations to support decisions on future research directions
• Mentorship: Oversee the analyses of junior statisticians and data scientists, and support their professional development

Minimum Qualification

• M.S. or Ph.D. in Statistics, Econometrics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• Passion for solving unstructured and non-standard mathematical problems
• Expertise in experimental design and/or Bayesian inference & optimization
• Fluency with SQL or similar
• Proficiency with Python, or other interpreted programming language like R or Matlab

Preferred Qualification

• 2 years experience with Bayesian experiment/optimization system design
• Experience with quasi-experimental causal inference (Rubin causal model/ structural causal model/ instrumental variables etc.)
• In-depth understanding and hands-on experience in wielding tools like graphs.
• 2 years experience with applying modern machine learning techniques and/or collaborating with ML scientists
• Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience
• Comfortable with massive paper searching, reading and composing.

This is a short term research assistant role to assist a research project on the topic of carbon capture, the role requires theoretical and hands-on experiences in the synthesis of porous carbon, specifically in techniques such as material formulation, freeze casting, and characterization techniques such as scanning electron microscopy, BET, FTIR and XRD.

The individual will also have proven technical writing experiences, having first-authored published manuscript in peer reviewed journals. In the short contract, the individual will aim to 1) complete a manuscript 2) participate in proposal writing 3) collaborate with a postdoctoral fellow on a carbon capture material research project

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

Industry : Legal /Law

Location : MBFC

Main responsibilities

Service Orientation

§ Maintains and builds strong relationships with Partners and Lawyers in Office/Country, the Information & Research Manager (Country), Regional I&R Lead, regional Expert functions (Information Product Lead/Manager and Research Lead/Manager), Knowledge Lawyers and with the center-based I&R teams, as well as with external suppliers for local information resources

§ Demonstrates value through effective communication with stakeholders and key relationships

Knowledge & Expertise

§ Responds to research enquiries requiring in-market expertise for research, information or initial current awareness set-up as applicable. Manages and coordinates the referral of local enquiries to the appropriate Service Centre.

§ Understands and promotes the role and functionality of the firm's research, content and information repositories and resources.

§ Develops information alerts and newsletters to provide legal and regulatory updates.

§ Ensures and facilitates timely access to relevant legal information and research resources to support lawyers providing advice to clients

§ Manages the procurement of local information resources in alignment with Information Product Management policies and in consultation with the Information Product Management Lead/Regional I&R Lead. Manages the relationship with local external information vendors

§ Assists with delivery of I&R resource training support, as well as Knowledge resource training support where relevant. Assists with developing and running training plans and programmes for lawyers, BDMC and in-market staff as required.

§ Uses information and research platforms and technology (e.g. InfoNgen, GLMS) effectively and understands their capabilities (e.g. modules) and functionalities. Able to offer guidance to users when using information and research platforms.

§ Working with the Information & Research Manager (Country) and Research Lead/Business Research Manager, liaises with internal clients to learn about their business focus and information needs

People Management

§ Collaborative, supportive, team player working with other in-market Librarians and the wider Knowledge community

§ Demonstrates ongoing learning and professional accountability that cultivates communication and collaboration, fostering immediate and long-term goals

Work Management

§ Supports and participates in the adoption and use of Knowledge and I&R systems

§ Participates in and leads projects as requested

§ Aware of and participates in firm's goals. Participates in setting and aligning Library team goals with PG goals, managing resources, and evaluating use. Reports on usage and space management

Requirements

• Relevant undergraduate degree 
• Good relevant experience with strong experience of Knowledge, information and research in professional services environment 
• Ability to manage multiple stakeholders, build strong relationship virtually, communicate effectively, comfortable working in large, complex environment, highly credible and persuasive 
• Strong people management and organizational skills; ability to prioritise and manage people's time to meet deadlines 
• Demonstrated ability to drive results and sense of urgency in setting strategies and executing against the objectives 
• Proven ability to influence, interact and consult with senior leaders, strong collaboration skills and effective stakeholder management 
• Strong communication skills, and highly credible presentation skills 
• Comprehension of a diverse set of knowledge and information resources

We are seeking a motivated and innovative Post-Doctoral Research Fellow to conduct cutting-edge research in AI safety. The candidate will focus on curating data, aligning AI models, identifying gaps between academic research and industry practices, and developing tools to govern AI behavior. The position also requires regular publication in top-tier AI conferences and journals. This role offers the opportunity to contribute to the development of responsible and safe AI systems while working at the forefront of AI research.

Key Responsibilities:

1) Data Curation and Management: Collect, clean, and organize datasets relevant to AI safety research. Ensure data quality and accessibility for model training and evaluation.

2) Model Alignment and Development: Align AI models with safety objectives, ethical guidelines, and societal norms. Design and evaluate methods to prevent unsafe or unintended AI behavior.

3) Gap Analysis: Identify gaps between current AI safety research and industry practices. Propose actionable solutions and frameworks to address these gaps.

4) User Interviews and Research: Conduct interviews and surveys with stakeholders (users, developers, policymakers) to understand real-world challenges in AI safety. Integrate findings into research and tool development.

5) Tool Development: Develop practical tools, frameworks, or methodologies to govern and evaluate AI behavior. Prototype solutions that enhance AI interpretability, robustness, and compliance with ethical guidelines.

6) Research and Publication: Conduct high-quality, novel research in AI safety. Publish findings regularly in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated research experience in AI safety, ethical AI, alignment, or related areas.
• Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven experience with data curation, analysis, and cleaning.
• Track record of publications in top AI/ML conferences and journals.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities.
• Experience in user research, including conducting interviews and surveys.
• Familiarity with fairness, robustness, and interpretability in AI.
• Knowledge of industry trends and challenges in deploying safe AI systems.
• Ability to collaborate across interdisciplinary teams and with external stakeholders.

Joel Yang's Nanolab at SUTD is at the forefront of nanoscience research, particularly in high-resolution lithography and nanofabrication for optics and nanophotonics.

Role:

We seek motivated individuals to join our diverse team of researchers for a 2 year contract, with continuation based on performance. This position offers opportunities to realize radical new ideas and break new ground in aspects related to nanofabrication process and capability development. Specifically we are looking for experts in electron-beam and two-photon polymerization lithography, preferentially with experience working on devices related to nanophotonics and nano optics.

Responsibilities:

As a Postdoctoral, you will engage in diverse tasks ranging from experimental work in the cleanroom and optical bench, to supervision and mentoring of PhD students and project management.You'll be leading research initiatives, plan experiments, innovate, and publish findings in esteemed conferences and journals. This role requires dedication, perseverance, strong interpersonal skills, effective presentation abilities, problem-solving skills, leadership, and accountability.

Qualifications:

• PhD degree in electrical engineering, mechanical engineering, Physics, Materials Science or related fields.
• Experience with cleanroom equipment such as lithography, thin film deposition and etching.
• Preference for candidates with track record of publishing impactful journal articles
• Organized, driven, and self-motivated with meticulous attention to detail.

Duration:

The initial contract is for 2 years, with the possibility of renewal.

Location: Singapore

Application Procedure:

Interested candidates should submit their CV, cover letter, and contact information of at least one reference (Faculty/Previous Supervisor) to [email protected] with the subject line "Postdoctoral Associate [Nanofabrication] Application".

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires min Diploma in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

Project Overview

This research project aims to grasp dynamic changes in hotel capital investments and their influences on tourism-related local businesses before, during, and after the pandemic on two geographic scales -- region (Asia-Pacific) and city (Singapore). This aim is outlined by the following three objectives:

• Examining the significance of sustainable development attributes in explaining the spatial distribution of new hotel development projects across selected cities in the Asia-Pacific region;
• Estimating the influences of new hotel development projects on the establishment of tourism-small business enterprises within and around hotel districts in Singapore; and
• Drawing evidence-based policy implications along with specific measures for cities to rebuild and expand the capacity of urban tourism in the Asia-Pacific region and Singapore.

Job Description

The Research Assistant (one-year contract) will undertake the following research activities:

• Meeting with the principal investigator (PI) and team members regularly;
• Supporting the progress of key tasks;
• Collecting and organizing international hotel investment and other urban spatial datasets
• Visualizing multiple urban tourism, transport, environment, and economic attributes on a geographic information system (GIS) platform; &
• Developing hotel location choice and small business birth models
• Exploring new software applications for spatial data analyses.

This Research Assistant position will be arranged based on the Urban Planning & Economic/Environmental Policy Research Team, led by PI Prof. Jin Murakami, with support from the Humanities, Arts and Social Sciences (HASS) Cluster/Green Economy and Sustainability Initiative in SUTD.

Requirements

• Bachelor degree in Urban Planning, Environmental Studies, Economics, Business, Civil Engineering, Systems Engineering, Information Science, or related fields*
• Strong data management and quantitative analysis skills
• Proficiency with programing, coding, and/or statistical software (e.g., Python, R, STATA)
• Knowledge and experience of GIS software applications (ArcGIS and/or QGIS)
• Interest in data visualization skills – preferred
• Sufficient report writing and communication skills in English

To Apply

Interested applicants should email:

(1) a cover letter expressing specific interest in this position.

(2) a detailed CV with information on (i) education qualifications, (ii) working

experience, (iii) list of publications, (iv) name/title/contact of at least one reference, and (v) citizenship status.

(3) any writing sample to Dr. Jin Murakami at [email protected]. Subject should indicate: Full-time Research Assistant – Urban Tourism Research

We regret that only shortlisted candidates will be notified.

Job Responsibilities:

• Manage research data and keep up-to-date research records, be able to perform data analyses and critically interpret generated data, and summarise research findings
• Search and sort out literature and database, identify key findings of previous research, and be able to paraphrase and consolidate key concepts of literature
• Conduct data collection independently (survey, classroom observation, FGD, interview, spoken and written language data)
• Process and generate descriptive data from surveys, classroom observation, FGDs, interviews and corpora independently
• Be able to construct teaching plans or test items independently
• Be able to design research tools for school-based project
• Project administration tasks such as scheduling and liaise with schools
• Be able to develop and maintain co-operative working relationships with Principal Investigator, colleagues and collaborators, be able to give feedback and share ideas or experience with others, and resolve problems in most situations
• Be able to report clearly on design and progress of research project
• Write research reports and papers, and be able to produce relevant write-ups for proposals under PI’s supervision

Job Requirements:

• Master’s degree or equivalent
• Excellent organizational skills and able to work independently within given deadlines
• Experience in working with teachers and students in Singapore schools
• Excellent problem-solving skills and project management skills
• Basic statistical knowledge and skills
• Good theoretical knowledge of research designs in general
• Good IT skills
• Strong interpersonal, written and verbal communication skills in both English and Chinese, to liaise with Chinese-speaking associates
• Basic knowledge in Chinese Linguistics and Language Teaching and Learning

(All applications will be in strict confidence. We regret that only short-listed 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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills.

About Chicago Global Capital

Chicago Global is a data-driven investment management firm, which run timeless investment strategies powered by advanced technology.

Our investment philosophy is deeply rooted in the University of Chicago’s heritage in finance and economics, where much of the foundational work in these fields was conducted.

By benefitting from advances in machine learning to embrace the speed and complexity of financial information, we can harness and distil market-moving data into investment intelligence.

We engineer portfolios that learn and adapt faster than humans using supermassive datasets that are distilled into a set of well-documented strategies, relying on inference to detect phase changes and inflection points in every corner of the world.

The Role

As the Investment Research Analyst you will work closely with the CG investment team, uncovering investment opportunities using the tools provided within our framework, with a focus on Equities & Derivatives across global markets.

Key Responsibilities:

Execution & Trading:

• Execute day-to-day trading activities for the company's investment funds, ensuring seamless interaction with Prime Brokers and Fund Administrators.
• Monitor market conditions and execute trades in accordance with established trading strategies and risk parameters.

Strategy Development & Implementation:

• Test, implement, and scale new and existing quantitative investment strategies across various asset classes and portfolios.

Financial Modeling & Analysis:

• Establish and maintain robust financial models to assess portfolio risk, evaluate investment performance, and conduct scenario analysis.
• Analyze financial data, identify market trends, and generate actionable insights to inform investment decisions.

Research & Development:

• Conduct in-depth research on cutting-edge quantitative finance research published in academic and industry journals.
• Stay abreast of the latest advancements in quantitative trading techniques, machine learning, and artificial intelligence.
• Assist in the preparation of monthly research reports and develop concise research digests for internal dissemination.

Performance Monitoring & Reporting:

• Calculate and update performance reports for investment funds and portfolios, including key performance indicators (KPIs) and risk metrics.
• Prepare insightful presentations and reports to communicate investment performance and risk to senior management.

Regulatory & Compliance:

• Assist with the preparation and submission of regulatory filings and compliance reports.

Business Operations:

• Assist with day-to-day business operations as may be necessary.

Qualifications:

· Master’s degree

· Experience 5 to 8 years

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

We are seeking a motivated and capable researcher to join our research group. The successful candidate will contribute to development of cultured meat and sustainability, focusing on developing innovative media and sustainable processes. This position enables the researcher to work on issues in food and sustainability.

Key Responsibilities:

• Conduct research on media development and cultured meat
• Collaborate with cell biologists, biotechnologists, team members and other stakeholders
• Scientific writing

Qualifications

Job Requirements:

• Ph.D degree in a relevant field such as cell culture, fermentation, food bioscience and food science
• Ability to work independently to plan, design and conduct experiments, analyse and interpret data
• Proficiency in English, with good scientific writing and oral communication skills
• A good understanding of media formulation, cell physiology, nutrients, growth and metabolism
• Analytical skills, especially analysis of chemical components

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3 project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow with experience in techno-economics and object-oriented programming. The candidate would have experience in assessing engineering reports and scientific papers on novel synthesis technologies, extracting key process performance parameters. The successful candidate would also have experience in designing and performing simple experimental work in the broad area of process and reaction engineering.

What skills do you have?

Working with chemical process simulators (e.g. Aspen Plus). Coding in Python or C++. Hands-on experimental experience in building and operating chemical reactors on laboratory scale.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-techno-economicobject-oriented-for-sm3-em. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Dr Ewa Marek ([email protected]).

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Location: Neuros

Job Summary

The Genomics lab is looking for a Research Scientist, whose main focus is to develop NGS workflow for academic and clinical research service, and train technical personnel, leading to the implementation of these new workflow in a commercial service lab environment. The appointment holder is expected to have advanced degree with working experience in NGS technologies. The ideal candidate would be well-balanced between having the discipline to work in a commercial service laboratory environment, and a passion for translating innovative, newly developed laboratory tests for commercial implementation.

Roles and Responsibilities

• Lead the molecular assay development and validation efforts in a commercial service lab setting.
• Demonstrate hand-on leadership to successfully implement NGS service workflow in the commercial service laboratory.
• Design, plan and execute validation tests, establish QC criteria, write validation plan and report.
• Lead the SOP writing and technology transfer to the operations team.
• Propose and implement process improvements and EQA.
• Work closely with other Scientists and Product Managers to provide scientific inputs related to company products and testing services.
• Support other commercial activities as required.

Desired Skills & Competencies

• PhD. in related Science background with 1 – 2 years’ experience in molecular biology or related field.
• MSc. in related Science background with 3 – 5 years’ experience in molecular biology or related field.
• Demonstrated independent research & development work in a molecular biology lab setting.
• Strong understanding and working experiences on NGS technologies is highly desirable.
• Experience in developing and implementing new molecular assays in a commercial service laboratory is an added advantage.
• Experience in single cell sequencing will be added advantage.
• Be a ‘hands-on’ person who welcomes challenges, works independently or as part of a team, and can communicate effectively at all levels.

We appreciate your interest in the above-mentioned position, however, due to overwhelming response, only shortlisted candidates will be contacted.

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

An exciting opportunity has arisen for a highly motivated Senior/Research Fellow to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD brings together experts in the field of translational research, child health and development, and implementation science to accelerate the use of evidence in policy and practice and give every child the best start in life.

The successful candidate will support the Centre by i) conducting research projects aligned to the Centre’s strategy and key priorities, ii) preparing reports, publications and materials for funding bids, iii) providing supervision and mentorship to junior researchers, particularly in the area of mixed methods research, and iv) facilitating workshops and engagement activities.

Job Responsibilities

The successful candidate will:

• Work closely with the team leads, cross-disciplinary research teams and collaborators.
• Design, plan, undertake and deliver research and evaluation projects using a combination of methods – with a focus on mixed methods studies and related designs.
• Provide expert methodological advice in mixed methods to Centre staff and related inputs across Centre projects.
• Lead on writing for reports, peer-reviewed publications and grant proposals for a variety of audiences.
• Contribute and lead, where appropriate, research dissemination activities at internal and external meetings and conferences.
• Provide supervision and mentorship of research students, interns and research assistants, where required.
• Work closely with stakeholders from across the early childhood sector.

Qualifications

Qualifications: A PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.

Experience: Candidates with experience in the following areas are encouraged to apply:

• Mixed methods applied research
• Implementation Science
• Behavioural or Social Sciences applied to child health/development
• Programme Evaluation
• Education/Health Services or Applied Research

Additional Requirements

The candidate should also possess:

• Experience in undertaking or leading independent research studies, as appropriate for career stage.
• A strong grounding in mixed methods and applied educational, behavioural or health research – broadly defined.
• Track record of publishing in peer-reviewed journals and presentations in international or national scientific conferences, commensurate with career stage.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented
• Keen interest in the area of early child development and passion for research translation and communication will be advantageous.

Application

Please submit your application, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

The appointment title and salary grade will be commensurate with the candidates’ qualifications and experience. Interested applicants are invited to submit a cover letter and full CV via the NUS careers portal. Applicants can email [email protected] with any questions. Only shortlisted candidates will be contacted.

What Being Successful in the Role Looks Like: The successful candidate will work closely, collaboratively and competently as part of an interdisciplinary team within CHILD. They will have excellent writing, presentation, and project management skills. They can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up CHILD’s open and positive work culture.

About Us

About CHILD: The Centre for Holistic Initiatives for Learning and Development or CHILD was established under the umbrella of the NUS Yong Loo Lin School of Medicine (NUS Medicine) with the Lien Foundation. In collaboration with partners - the Centre for Evidence and Implementation (CEI) and A*STAR’s Singapore Institute for Clinical Sciences (SICS), CHILD brings together experts in the field of translational research, child development, and implementation science to help give children the best start to life.

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, NTU and NUS within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Work Package 1, led by Assoc. Prof. Rudi STOUFFS (NUS) and Ronita Bardhan (Cambridge), targets the identification and assembly of existing geocoded environmental datasets and linkage to individual behaviour and health outcomes. We will use existing data to analyse the built and natural environments in Singapore and construct profiles of urban environmental exposures at both population and individual levels. We will compile and map a set of environmental indicators and discover urban environmental exposure archetypes. These will be linked to the record of each study participant’s individual behaviour and health outcome.

Who are we looking for?

A postdoctoral research fellow to conduct the following work activities:

· Coordinate the work package activities and report on these activities and their results.

· Daily supervise other researchers and their activities in the work package.

· Take the lead in writing articles for publication in reputable journals.

· Collect open-source data and fuse this data towards a comprehensive and integrated city model of Singapore.

· Transform this data for use in a knowledge graph.

· Apply data-driven clustering techniques to define urban exposure archetypes.

· Apply urban analytics and deep learning to understand and demonstrate relevant data correlations.

What skills will you need?

· A doctoral degree in architecture, urban planning, building physics, and or a strongly related field from a reputable university.

· Expertise in urban science, building physics, city modelling and GIS.

· Well conversant in coding in Python and/ or R and data science

· Expertise in development of AI driven physics based deep learning models, with an emphasis on graph-oriented data and network science.

· Experience with writing and publishing articles in reputable scientific journals.

When is position available and for how long?

The position is available immediately initially as a fixed-term 1.5-year contract. The position will be offered subject to a probationary period of three-months.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A comprehensive medical insurance cover as part of your employment.

· Opportunity to work as part of a world-leading scientific research programme.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-ai-researcher. If you have any questions, please feel free to reach out to the HR team at [email protected].

The Bio-inspired Robotics and Design Laboratory at SUTD (https://brd.sutd.edu.sg) is seeking to hire a Research Assistant and a Senior Research Assistant to support projects in soft grasping.

The Roles:

The Research Assistant and Senior Research Assistant will contribute to both fundamental and applied research in dexterous manipulation and grasping. They will be involved in developing advanced control systems for novel soft and hybrid mechanisms, aimed at next-generation applications in diverse environments, from harsh to delicate.

We are looking for innovative and passionate researchers eager to work within a multi-disciplinary team.

Responsibilities:

• Integrate sensors.
• Develop high-level robot control systems.
• Implement advanced low-level control and soft sensor feedback mechanisms.
• Support the design and prototyping of mechanisms for various grasping applications.
• Design and conduct manipulation and grasping experiments in both laboratory and real-world settings.
• Assist with publications and grant writing.

Key Requirements:

• Bachelor's or Master's degree in Electronics Engineering, Computer Science, Mechanical Engineering, Robotics, or related fields.
• Experience with ROS (Robot Operating System).
• Proficiency in SolidWorks.
• Experience in sensor integration and embedded system design.
• Familiarity with soft robotics and additive manufacturing processes is a plus, but not required.
• Familiarity with the use of LLMs for intuitive robot control is a plus, but not a required.

Join us in advancing the field of soft robotics and contributing to innovative solutions for complex grasping challenges!

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Process Systems Engineering and Machine Learning (AI) for Chemical Engineering. The ideal candidate would have experience in developing first principle process models in Matlab/gPROMS or Python, process optimization, machine learning for chemical processes.

What skills do you have?

Working with chemical process data. Understanding process design, process optimization. Coding in Python. Developing ML workflows.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-process-system-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Summary:

Being a new entrant in Singapore's R&D landscape, Skywork AI Singapore is dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation models and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. The work on Agents delives into both virtual and physical agents, propelling us into the forefront of AGI development.

Skywork AI Singapore is partnering with universities in Singapore, to invite motivated candidates to enroll in a PhD program and work at Skywork AI Singapore. Successful candidates will become full-time employees of Skywork AI and should qualify to be admitted into the PhD Programme at one of the universities in Singapore.

Candidate's Expectation:

• Work with our research scientists to conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into business products

Desirable Experience:

• Demontrate a strong interest in a career in computer science
• Keen to study and perform research in areas such as Artificial Intelligence, Computer Vision, Deep Learning, Game AI, Natural Language Processing, Reinforcement Learning, and Speech Recognition. (Preferably but not limited to)
• Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX
• Possessed Bachelor's or Master's Degree in Computer Science/Engineering, Statistics, Mathematics, Data science, or related fields is highly desirable
• Not a recipient of, or hold any other scholarship or other award of a monetary nature (Excluding bursary and financial aid);
• Must meet the postgraduate admission and academic requirements
• For existing PhD candidates, must be 2 years or less into the postgraduate program

IPP trainees will be able to enjoy the following benefits:

• A Monthly salary of SGD6,000, in addition to CPF (for citizens and PRs), Medical Insurance, and many employment perks
• Sponsorship of tuition fee for 4 years
• Conference and travel allowances
• Computing equipment and GPU resources

Apply:

Interested candidates may send the latest Curriculum Vitae, transcripts, motivation letter and publication list to [email protected] to explore this exciting opportunity. Kindly indicate in your motivation letter, the University and intake that you have applied to e.g. NUS August 2025 intake.

We are committed to fostering diversity and welcome candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab.

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 Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

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

We are seeking a highly motivated Research Engineer to join our team, specializing in the hands-on experimentation and characterization of materials. The successful candidate will work closely with the research team to conduct materials characterization, perform electrochemical testing, and contribute to the development of innovative solutions for lithium battery recycling. This role requires a candidate with hands-on experience in material science techniques and electrochemical methods.
Key Responsibilities:

1. Perform experiments and characterization of materials using analytical techniques such as ICP, XRD, and FTIR.
2. Conduct electrochemical analysis, including cyclic voltammetry, LSV and other related techniques.
3. Prepare samples for testing and ensure proper calibration and maintenance of equipment.
4. Analyze and interpret experimental data, providing clear and concise reports to the research team.
5. Collaborate with cross-functional teams to ensure experimental objectives are achieved.
6. Maintain accurate records of experiments and uphold laboratory safety protocols.
7. Assist in troubleshooting and optimizing experimental procedures as needed.
8. Assist in lab procurement activities.

Qualifications

1. Bachelor’s or Master’s degree in Materials Science and Engineering, Chemical Engineering, or a related field.
2. Hands-on experience with material characterization techniques such as ICP, XRD, SEM and FTIR.
3. Proficiency in electrochemical methods is highly preferred.
4. Strong analytical and problem-solving skills with attention to detail.
5. Effective communication skills, both written and verbal, to document and present findings.
6. Ability to work independently as well as collaboratively within a team.
7. Knowledge of laboratory safety protocols and best practices.
8. Experience in data analysis and interpretation software (e.g., Origin).
9. Familiarity with additional characterization techniques is an added advantage.
10. Prior experience in an R&D or industrial laboratory setting.