Total 5,928 research associate job vacancies

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more details, please view https://earthobservatory.sg/

We are looking for an ambitious and highly motivated Research Assistant to work under the supervision of a Project Manager. The role will focus to support the communication and translation of various research outcomes to various stakeholder groups, including but not limited to the public, government agencies, and NGOs through clear, engaging and evidence-based content and outreach activities. As ASE and EOS together form an interdisciplinary research and education ecosystem, the incumbent may also be required to support with content development and communications activities related to Asian School of the Environment (ASE). The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school that aims to be a world leader in environmental research focused on Asian environmental challenges.

Key Responsibilities:

• Generate social media and digital content on topics related to geohazards, environment, and the funded research projects.

• Research and evaluate effective science communication strategies, including the potential role of Generative AI in facilitating science communication of research topics to diverse audiences.

• Support the research group in science communication and outreach activities.

• Assist with stakeholder engagement activities related to earthquake hazards, disaster response, and sea-level rise.

Job Requirements:

• Bachelor’s degree in Communications or a related discipline.

• Background in art, design or digital media, with familiarity or interest in environmental science.

• Strong design and copywriting skills, with a deep understanding of digital culture and social media trends and the ability to create engaging content for student and young adult audiences.

• Ability to work methodically and collaboratively, with strong problem-solving skills and the ability to meet deadlines.

• Proactive and detail-oriented, with a growth mindset and eagerness to learn.

• Proficiency in Adobe Photoshop, Canva, CapCut, DaVinci Resolve, and other relevant video editing tools.

• Proficiency in photography, photo editing, and videography using mirrorless and DSLR cameras.

• Existing networks or connection with nature, climate action, or environmental communities in Singapore and/or Southeast Asia.

We seek 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.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Interdisciplinary%29%2C-ChBE/33228-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Interdisciplinary%29%2C-ChBE/33230-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/33226-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst.  Prof. Julian Sester on developing mathematical methods for Distributionally Robust Reinforcement Learning.

The main responsibilities of the position include:
•    Developing rigorous mathematical foundations for distributionally robust reinforcement learning under model uncertainty; 
•    Studying robust Markov decision processes, dynamic programming principles, and convergence properties of robust learning algorithms; 
•    Designing and analysing reinforcement learning algorithms based on Wasserstein, Sinkhorn, or related ambiguity sets; 
•    Establishing theoretical guarantees such as stability, convergence, approximation error bounds, or sensitivity estimates; 
•    Implementing and testing proposed methods in numerical case studies, with possible applications in quantitative finance, stochastic control, or risk management; 
•    Preparing research manuscripts for publication in leading journals and presenting results at seminars, workshops, and conferences; 
•    Contributing to the research environment of the group, including discussions with PhD students, postdoctoral researchers, and collaborators.

Qualifications / Discipline:

•    PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Quantitative Finance, or a closely related discipline.

Skills:
•    Strong background in probability theory, stochastic processes, stochastic control, optimization, or reinforcement learning; 
•    Solid mathematical training and ability to work with rigorous proofs; 
•    Familiarity with Markov decision processes, dynamic programming, distributionally robust optimization, optimal transport, or reinforcement learning is highly desirable; 
•    Programming skills in Python are desirable, especially experience with numerical experiments, machine learning libraries, or reinforcement learning environments; 
•    Good written and oral communication skills; 
•    Ability to work independently and collaboratively in an interdisciplinary research environment. 

Experience:
•    Prior research experience in one or more of the following areas is desirable: reinforcement learning, robust control, stochastic control, distributionally robust optimization, optimal transport, mathematical finance, or machine learning; 
•    A track record of high-quality research, demonstrated through publications, preprints, or a strong PhD thesis; 
•    Experience with numerical implementation of mathematical or machine learning methods would be an advantage; 
•    Experience in quantitative finance or financial applications is welcome but not required.

Job Title: Research Technician/Assistant (Sputtering Systems)

About Us
We are an early-stage venture team developing advanced thin film materials and deposition workflow technologies for applications in optics, photonics, and memory. Our work focuses on high quality coatings and process development using sputtering-based techniques.

Role Overview
We are looking for a hands-on and reliable research technician to operate and manage our sputtering system, support day-to-day experimental work, and ensure smooth lab operations. This role is critical in enabling consistent thin film deposition for internal R&D and external projects.

Key Responsibilities
• Operate and manage a sputtering system (e.g. AJA International sputtering system) independently
• Perform thin film deposition for various projects and customer requirements
• Execute day-to-day experiments following defined process parameters and protocols
• Troubleshoot equipment issues and process deviations
• Perform basic maintenance and minor repairs, including vacuum systems (pumps, leak checks, seals), gas lines and plumbing and electrical connections and wiring
• Support process optimization and data collection
• Maintain proper documentation of experiments, parameters, and results
• Ensure safe operation of equipment and adherence to lab safety protocols

Requirements• Minimum Diploma in Engineering (Materials Science, Electrical, Mechanical, or related field)
• Prior experience operating sputtering or vacuum deposition systems is strongly preferred
• Familiarity with vacuum systems, gas handling, and thin film processes
• Hands-on experience with basic troubleshooting and maintenance
• Comfortable working with electrical systems, plumbing / gas lines, mechanical components
• Ability to work independently and take ownership of equipment and processes

Preferred Qualifications (Nice to Have)• Experience with sputtering systems or similar PVD tools
• Background in thin film characterization or materials processing
• Experience in a research lab or cleanroom environment

What We’re Looking For• Practical, hands-on problem solver
• Detail-oriented and reliable
• Able to run experiments independently
• Comfortable working in a startup environment (flexible, fast-paced)

Why Join Us• Opportunity to work on cutting-edge materials and technologies
• High ownership and impact in a growing startup
• Exposure to both research and real-world applications

Location: Singapore (SUTD campus, with potential access to shared/collaborators’ lab facilities)

Job Title: Research Officer

Working Days & Hours: Monday – Thursday: 8.30am – 6.00pm & Friday: 8.30am – 5.30pm⏰ (Including 1-hour break)

Job Responsibilities:

About Indospace

IndoSpace is the largest investor, developer and operator of industrial and logistics real estate in India, sponsored by leading private equity and real estate firms and backed by global institutional investors. IndoSpace currently manages over US$2.5 billion across 4 private equity funds and a 57 million square foot industrial and logistics real estate portfolio.

Role Description

The Associate, Fund Management position is based in Singapore and is suited to a driven professional with 4 to 6 years of experience in real estate fund management, private equity, or a related investment discipline. The successful candidate will play a central role in fund operations, financial modelling, and investor relations, working closely with senior leadership to manage existing funds and support new initiatives. This is a high-impact role for an individual who combines strong analytical capability, strategic mindset and communication skills.

Main Responsibilities & Accountabilities

Financial Modelling / Technical Excellence

• Take full ownership and accountability for financial modelling and analysis maintaining the highest standards of accuracy, rigour, and consistency
• Develop and maintain fund-level financial models encompassing NAV calculations, waterfall distributions, carried interest, and performance attribution
• Build, stress-test, and maintain rigorous financial models incorporating DCF, IRR, equity multiple, and returns sensitivity analysis across various hold periods and exit scenarios
• Conduct sensitivity and scenario analyses to evaluate the impact of key assumptions — including leasing, cap rates, financing costs, and exit timing — on fund returns and investor outcomes
• Develop and maintain financial models tracking for management company’s revenues, expenses, and profitability
• Continuously enhance and standardise modelling frameworks and templates across the platform to improve efficiency, comparability, and analytical depth

Fund Management & Reporting

• Support fund-level decision making through the review of detailed budgets, rolling forecasts, and cash flow projections, ensuring alignment between operational performance and fund strategy
• Lead preparation of management company quarterly and annual business plans and budgets
• Monitor fund-level KPIs and financial covenants, tracking performance against underwriting assumptions and flagging material variances to senior management with clear analysis and recommended actions
• Assist in managing fund liquidity, capital call scheduling, and distribution planning in coordination with the Finance team and fund administrator
• Contribute to the continuous improvement of fund operations processes, reporting workflows, and internal controls to enhance efficiency and scalability across the platform

Investment Support

• Review and analyse investment committee memoranda and supporting materials for acquisition approvals, ensuring analysis is thorough, well-structured, and clearly communicated
• Track and monitor the progress of the deal pipeline, maintaining deal timelines and flagging risks or issues to senior management in a timely manner
• Provide analytical support for ad hoc strategic initiatives including fund extensions, co-investment structuring, capital recycling, and new fund formation

Investor & Stakeholder Reporting

• Assist in the preparation of regular investor, board, and management updates, including quarterly and annual fund reports and fund performance summaries
• Prepare board-level presentations covering fund performance, capital deployment, fundraising status, and strategic initiatives
• Work closely with shareholders on strategic ad hoc initiatives

Qualifications & Requirements

Education

• Bachelor's degree in Finance, Real Estate, Accounting, Economics, or a related discipline; CFA charterholder or progress towards the CFA designation is advantageous
• A postgraduate qualification (MBA or Master's) in a relevant field is a plus but not required

Experience

• 6 years of experience in real estate fund management, private equity, investment banking, or a related field, with demonstrable exposure to fund reporting and investor relations
• Proven track record of building and managing complex financial models in a real estate or private equity context

Skills & Competencies

• Exceptional financial modelling skills with expert-level proficiency in MS Excel; experience with Argus Enterprise is highly desirable
• Strong understanding of real estate fund structures, private equity mechanics, waterfall distributions, and fund accounting principles
• Excellent written and verbal communication skills, with the ability to present complex financial information clearly to sophisticated institutional audiences
• High attention to detail and strong organisational skills, with the ability to manage multiple workstreams and meet tight deadlines in a fast-paced environment
• Proficient in MS PowerPoint with the ability to craft compelling, visually polished investor presentations.
• Demonstrates sound commercial judgment, intellectual curiosity, and a proactive approach to problem-solving
• Strong team player with the confidence to work independently and engage directly with senior stakeholders

Job Description

Technology Innovation & Strategy

• Define and drive the Company’s technology roadmap and long-term innovation strategy.
• Identify, evaluate, and adopt emerging technologies that enhance product capabilities and operational efficiency.
• Lead technical research initiatives, feasibility studies, proof-of-concept projects, and prototype development.
• Monitor industry trends and technological advancements relevant to creator platforms, software engineering, intelligent systems, and content creation technologies.
• Advise executive management on technology investments, technical risks, and innovation opportunities.

Creator Platform & Product Development

• Lead the evolution of the Company’s game editor, creator tools, and supporting platform technologies.
• Drive improvements in creator workflows, content creation pipelines, development tools, and platform architecture.
• Collaborate with product and engineering teams to translate business requirements into scalable technical solutions.
• Establish engineering standards, software development best practices, and technical governance processes.
• Support the development of next-generation creator experiences that improve usability, efficiency, and content quality.

AI-Assisted Content Creation & Automation

• Research, evaluate, and implement AI technologies that enhance creator productivity and content production workflows.
• Drive the development of AI-assisted capabilities for 3D asset generation, character generation, environment generation, and procedural content creation.
• Explore AI technologies for animation generation, motion synthesis, auto-rigging, skinning, and character behavior generation.
• Research and support intelligent solutions for game logic understanding, gameplay generation, scripting assistance, and content authoring.
• Evaluate Large Language Models (LLMs), multimodal AI systems, generative AI technologies, and intelligent agents for practical integration into creator workflows.
• Lead initiatives to improve development efficiency through AI-powered automation and intelligent tooling.

Engineering Leadership

• Lead, mentor, and develop engineering and research team members.
• Manage technical planning, resource allocation, project execution, and delivery schedules.
• Foster a culture of innovation, collaboration, technical excellence, and continuous learning.
• Facilitate effective communication between engineering, product, and management teams.

Job Requirements

• Master’s Degree or PhD in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical discipline.

• Minimum 10 years of experience in software engineering, system architecture, engineering research, or technology leadership roles.

• Proven experience leading engineering teams and delivering complex software development projects.

• Strong knowledge of software architecture, distributed systems, scalable platform development, and software engineering best practices.

• Experience developing software platforms, development tools, creator tools, content creation systems, workflow platforms, or technology products.

• Strong programming and technical problem-solving skills with experience in Python, Java, C++, C#, JavaScript, or similar technologies.

• Experience evaluating, adopting, and integrating emerging technologies into commercial software products.

• Familiarity with Artificial Intelligence, Machine Learning, intelligent automation, Large Language Models (LLMs), multimodal AI systems, or AI-assisted software solutions is highly preferred.

• Strong analytical thinking, research capability, and technical decision-making skills.

• Excellent communication, leadership, project management, and stakeholder management abilities.

Preferred Qualifications

• PhD in Computer Science or a related technical field.
• Experience leading technology innovation programs, engineering research initiatives, or advanced product development projects.
• Experience founding, scaling, or managing technology startups.
• Experience working with creator platforms, UGC ecosystems, development tools, content creation workflows, or interactive software products.
• Experience with Generative AI, LLMs, multimodal AI systems, AI agents, or AI-powered productivity tools.
• Experience with 3D asset generation, animation generation, motion synthesis, auto-rigging, skinning, procedural content generation, or related technologies.
• Experience applying AI technologies to improve product functionality, creator productivity, or operational efficiency.
• Demonstrated ability to bridge research, engineering, and product development to deliver commercial value.

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Robotics%29/33299-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•             Robot design.

The candidate is expected to assist in the design, fabrication, and testing of a novel robotic system based on application-related specifications.

•             Robot experiments.

The candidate is expected to support the definition of experimental protocols, in terms of trials and parameters to measure, to help with the experimental set-up, experimental validation, performance testing, and iterative improvements of developed prototypes and with the recording and analysis of experimental results.

•             Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.

•             Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.

•             Present research findings at international workshops, conferences, and internal project meetings.

•             Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.

Qualifications

•             Mechanical Engineering degree

•             Robotics expertise: knowledge of robotics and soft robotics fundamentals, skills for robot design.

•             Research experience, even as a student, including skills for experimental research and paper preparation.

•             Hands-on experience in robotics, soft robotics, or interactive systems.

•             Proficiency in CAD software, prototyping, and mechatronics.

•             Ability to work collaboratively in a multidisciplinary team environment.

•             Strong problem-solving skills and creativity.

The School of Electrical and Electronic Engineering (EEE) at NTU is one of the world’s largest engineering schools and ranks 4th globally for Electrical & Electronic Engineering (2025 QS World University Rankings by Subject). Sia Laboratories, led by Asst Prof Brian Sia, is affiliated with the National Centre for Advanced Integrated Photonics (NCAIP) and a DSO Quantum Sensing Centre, and works across heterogeneously-integrated photonics, hybrid III–V/Si and III–V/TFLN lasers, optical frequency combs, RF photonics, FMCW LiDAR, and quantum photonic sensing. We are seeking a Research Fellow, Integrated Photonics, to advance the design, fabrication, and characterisation of next-generation hybrid photonic devices and to lead system demonstrations relevant to RF channelisation, coherent LiDAR, and rubidium-based atom interferometry.

We are looking for a Research Assistant, Integrated Photonics to advance the design, fabrication, and characterisation of next-generation heterogeneously-integrated photonic devices for laser, RF photonic, LiDAR, and quantum-sensing applications. The role will focus on hybrid III–V on silicon and III–V on thin-film lithium niobate (TFLN) integration, semiconductor laser physics (E-DBR Pockels FM lasers, Vernier external-cavity lasers, optical frequency combs), and end-to-end system demonstrations in coherent FMCW LiDAR, photonic RF channelisation, and rubidium-based quantum sensing.

Key Responsibilities:

• Design, simulate, and tape-out integrated photonic devices on silicon, thin-film lithium niobate (TFLN/TFLT), Si₃N₄, and III–V/Si heterogeneous platforms using FDTD, EME, and photonic-circuit simulators (e.g., Lumerical, Tidy3D, INTERCONNECT).

• Develop, fabricate, and characterise hybrid III–V/TFLN and III–V/Si₃N₄ semiconductor lasers — including E-DBR Pockels FM lasers, Vernier external-cavity lasers, and optical frequency-comb sources — and lead device runs from layout (GDSII) through foundry submission, post-fab assembly, and packaging.

• Build and operate optical and RF measurement setups for laser linewidth, frequency-noise, RIN, optical-spectrum, electro-optic S-parameter, and FMCW-LiDAR ranging characterisation.

• Publish first-author papers in leading journals (e.g., Nature Photonics, Optica, Light: Science & Applications, JLT, JSTQE, APL Photonics) and present at flagship conferences (CLEO, OFC, ECOC, IPC, Photonics West).

Job Requirements:

• Bachelor in Electrical and Electronic Engineering or related field

• At least 2 years of relevant experiences in integrated photonics research

• Familiarity with photonic design tools (Lumerical FDTD/EME/INTERCONNECT, Ansys, Synopsys RSoft, or Tidy3D) and GDSII layout in KLayout, gdsfactory, IPKISS, or PHIDL

• Good written and oral communication skills evidenced by first-author publications in leading photonics journals and presentations at flagship conferences (CLEO, OFC, ECOC, IPC, Photonics West)

• Proficiency in practical optical and microwave measurement (tunable lasers, OSAs, ESAs, VNAs, lock-in detection, RF probing); familiarity with phase-noise / linewidth / RIN measurement and coherent detection is a strong advantage

• Competent in scripting and data analysis in Python or MATLAB, with comfort using version control (Git) and reproducible scientific workflows

• Strong interpersonal skills, with the ability to work independently and deliver against tight project milestones, meticulous attention to detail, and excellent organisational, documentation, and time-management habits

• Preferred: prior experience with one or more of — photonic packaging and butt-coupling, flip-chip / wire-bond assembly, electro-optic modulator design, FMCW LiDAR system architecture, or atom-interferometry-grade laser systems

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantFellow/33257-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This lab-based research assistant/fellow will be required to perform the following duties/responsibility:

1. Biophysical and biochemical characterization of human teeth using various non-invasive optical microscopic techniques (e.g. confocal fluorescent microscopy, polarized light microscopy) and biochemical analytical methodologies (e.g. micro-FTIR, micro-XRD, micro-MRI, micro-CT and so on)
2. Bio-sample preparation
3. Literature review, data analysis, writing reports and manuscript

Qualifications

Candidates should preferably possess a Bachelor’s, Master’s, or PhD degree, along with relevant research experience

We are looking for a Research Assistant to support a meaningful longitudinal study focused on understanding the resilience and development of children and young persons (CYPs) aged 4–16 who are placed in out-of-home care due to safety concerns.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/33227-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will work closely with the research team to develop advanced methods in Reinforcement Learning under Uncertainties for Reliable Autonomous Decision-Making in Finance. 

Primary responsibilities will include:
•    Data Management: Utilize proficiency in SQL, NoSQL, and vector databases to collect, clean, and manage data for research projects.
•    Research Assistance: Collaborate on research initiatives focused on decision-making in finance, applying quantitative finance and econometric methodologies to analyze data and develop models.
•    Machine Learning: Apply expertise in reinforcement learning and traditional machine learning algorithms to develop predictive models and optimal strategies.
•    Programming: Utilize skills in Python, TypeScript, and JavaScript, along with frameworks like PyTorch, to implement and test quantitative models.
•    Financial Expertise: Apply knowledge of finance, especially in risk management and equity markets, to contribute valuable insights to research projects.
•    Communicate research outcomes through peer-reviewed publications and other scholarly dissemination channels.

Qualifications / Discipline:

•    PhD in Mathematics/Statistics/CS. 

Skills:
•    Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning.
•    Strong programming skill  in Python, TypeScript, and JavaScript, along with frameworks like PyTorch. 
•    Excellent problem-solving abilities and attention to detail. Strong written and verbal communication skills.

Experience:
•    Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions.

We are looking for a Temporary Research Officer to support a short-term research project focused on child development and early life health outcomes.

Contract Period: 3 months
Working Hours: Mon-Thu: 8.30am to 6pm, Fri: 8.30am to 5.30pm
Location: Central region

What you will do:

• Perform basic statistical data analysis
• Conduct literature reviews and research support work
• Assist in writing and preparing research reports or publications
• Support administrative and coordination tasks for the research team

Requirements:

• Bachelor’s Degree in a relevant field (e.g. Biomedical Science or related disciplines)
• Interest in research and data analysis work
• Knowledge of R or SPSS is an advantage (not compulsory)
• Able to work independently and in a team

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Lim Zi Yu (Crystal) - R26159881

ScienTec Consulting Pte Ltd - 11C5781

Description

We have an opening in our Research team for a Senior Associate or Vice President to conduct research into Vietnamese companies, sector coverage will be broad however primarily focus will include Consumer,Industrials and Financials sectors. This position will be based in Singapore. 

Primary Responsibilities: 

• Report to the Lead Analyst 
• Perform thorough research on the assigned sectors, including sector analysis, investment recommendation
• Perform company, sector research, including commercial & financial analysis, and equity valuation
• Develop and maintain close relationship with foreign institutional clients
• Engage in public relation and marketing activity to promote the Jefferies’s brand image and reputation including presentation to clients in Vietnam and abroad

Qualifications / Requirements:

• Vietnamese language skills for partnership and analysis of local companies.
• Good understanding of Vietnam’s financial markets
• Strong finance and accounting background. Minimum 3-6 years of work experience in investment analysis. Candidates with working experience in an international and diverse environment preferrable.
• Bachelor’s degree in finance, commerce, banking or economics. MBA or CFA is an asset.
• Strong quantitative and analytical skills, ability to perform qualitative industry and business analysis
• Team player and able to work with other sector Researchers.