Total 1,905 science rd research job vacancies

Job Overview

Joining the Fuller Impact team, you will be part of the pioneer team and play a key role in increasing the access to sustainability and ESG regionally. You will help design and implement sustainability and ESG strategies while contributing to Fuller Impact’s growth and long-term success.

We are in search of a passionate Sustainability Research Intern with a proactive and growth mindset approach.

Key Responsibilities

1. Sustainability & ESG Research

• Conduct research on sustainability trends, global frameworks (e.g., GRI, TCFD, ISSB), and relevant regulations to support Fuller Impact’s programmes and strategic initiatives.

2. Competitor & Market Analysis

• Benchmark sustainability tools, platforms, and services to identify gaps, opportunities, and innovation pathways aligned with Fuller Impact’s mission.

3. User & Stakeholder Research Support

• Assist in developing and analysing surveys, interviews, and user feedback for programme design and strategic decision-making.

4. Data & Framework Mapping

• Support the organisation and alignment of ESG indicators, metrics, and categories with recognised sustainability standards.

5. Content & Knowledge Development

• Contribute to the creation of knowledge assets such as glossaries, toolkits, guidance documents, training materials, and communication content.

6. Policy & Market Monitoring

• Track sustainability-related policy updates and market developments across regions, summarising insights for internal use.

7. Documentation & Presentation Support

• Assist in preparing internal briefs, research summaries, and presentation materials for stakeholders and project partners.

8. Stakeholder Engagement

• Support relationship-building with internal and external stakeholders to ensure effective collaboration and impactful outcomes.

9. Special Projects

• Support ad hoc initiatives across Fuller Academy and Fuller Solutions, including research, content development, and strategic innovation.

Requirements

● A final year student or recent graduate with a passion for sustainability and research.

● Able to commit to a minimum of 3 months.

● Business-level written and verbal communication skills, strong analytical and creative problem solving abilities.

● Excellent interpersonal skills, organizational, and operational skills.

● Strong attention to detail and ability to work independently.

Perks & Benefits

• Employee equity
• Nearby public transport
• Flexible working hours
• Free snacks / Happy hours
• Personal leave
• Open culture
• Personal development opportunities
• Remote work flexibility

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.

• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.

• Write, publish and disseminate results, including give research presentations at meetings.

• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers

• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.

• Represent the research group at external meetings / seminars, either with other members of the group or alone.

• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.

• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.

• Work with industry and government partners to understand their research needs and formulate solutions.

• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.

• Help organise and actively participate in regular meetings and seminars within the group.

• Assist in raising research funds through grant applications.

• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory.

• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience.

• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.

• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.

• Ability to independently plan and manage a research project, including a research budget.

• Possess strong collaboration abilities in person, on paper and over electronic channels.

• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.

• Experience of managing a research budget.

• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Read, understand, and summarize the latest literature on diffusion models, especially their use in sampling from un-normalized probability distributions

• Read, understand, and summarize the latest literature on inference in state-space models with particle filters

• Devise, implement, and inspect theoretical properties of new methods for inference using diffusion models

• Publish results in reputable international journals and conferences

• Present results and establish new research networks at reputable international conferences

• Participate in internal events (reading groups, seminars, etc.) as required

Job Requirements:

• Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

About the Job

We are in search of a highly motivated and accomplished Research Assistant to join our team and significantly contribute to our ongoing research project "Understanding and Generating Interleaved Image-Text Persuasion". The successful candidate will collaborate closely with our research team, working on the development of multimodal AI. This role offers an exciting opportunity to engage in cutting-edge research in multimodal learning and have a substantial influence on the field.

What You’ll Do

• Conduct literature reviews on multimodal persuasion, visual communication, and the evaluation of large vision-language models.
• Support the design and development of datasets and evaluation frameworks for understanding interactions between images and text.
• Assist in evaluating and enhancing multimodal models for analysing and generating interleaved image-text content
• Summarize experimental results and contribute to the preparation of research reports, presentations, and academic publications.

Who We’re Looking For

• Bachelor degree with background in computer science, data science, artificial intelligence, or a related field.
• Strong interest in multimodal AI, vision-language models.
• Basic experience with Python and machine learning frameworks such as PyTorch is preferred.
• Familiarity with natural language processing, computer vision, or large language models is an advantage.
• Good analytical, communication, and organizational skills.
• Ability to work independently while collaborating effectively with a research team.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Luo Lab, based at LKCMedicine, Nanyang Technological University (NTU), Singapore is seeking a highly motivated, goal-driven, and team-oriented Research Fellow to join our research program. Our research focuses on elucidating the fundamental mechanisms of RNA virus infection and host defense, as well as structure-guided antiviral development. We employ interdisciplinary approaches spanning biochemistry, structural biology, virology, and cell biology. The NTU Institute of Structural Biology provides outstanding infrastructure, including state-of-the-art facilities for high-resolution cryo-EM/ET, X-ray crystallography, NMR, and a wide range of complementary biophysical techniques. We offer a dynamic and intellectually stimulating research environment that supports cutting-edge science and long-term career development. The position provides extensive opportunities for training in complementary methodologies, as well as for developing mentoring and teaching experience through close interaction with graduate students and supervision of undergraduate researchers.

Key Responsibilities:

• Conduct independent and collaborative research in structural biology and/or RNA virus–host interactions.

• Design, execute, and analyze experiments using structural, biochemical, and cell-based approaches.

• Contribute to manuscript preparation, grant writing, and presentation of research findings.

• Mentor graduate and undergraduate students and actively participate in team-based research activities.

Key Competencies and Requirements:

• A recent Ph.D. degree (or equivalent) in a relevant field, such as structural biology (cryo-EM/ET, X-ray crystallography), virology, molecular biology, or cell biology.

• Prior research experience and hands-on laboratory training in one or more of the following areas: structural biology (cryo-EM/ET), cell biology, or molecular and cellular virology.

• Strong self-motivation, excellent organizational skills, and effective written and oral communication abilities.

• Demonstrated ability to work independently while collaborating effectively within a diverse and interdisciplinary research team.

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

Responsibilities

·       Design and deliver a rigorous, engaging, and future-focused Computer Science curriculum aligned with the Cambridge International Curriculum and the school's educational philosophy.

·       Teach Computer Science across a range of year levels, from Year 6 through to IGCSE and A Level/IB Diploma, fostering computational thinking, creativity, and problem-solving skills.

·       Prepare students for IGCSE Computer Science examinations, commencing with the first examination cohort in May/June 2027, through structured and challenging instruction.

·       Work closely with Junior School colleagues to ensure continuity and progression from the Coding and Robotics programme introduced from Year 3 onwards.

·       Teach a second subject, such as Mathematics, Physics, or another STEM-related discipline, up to Key Stage 3 or 4 where required.

·       Serve as a Form Tutor, supporting students’ academic, personal, and social development.

·       Establish and maintain strong partnerships with parents, providing regular updates on student progress and addressing concerns in a professional and timely manner.

·       Integrate innovative teaching methodologies and educational technologies to enhance student learning and engagement in Computer Science.

·       Foster an inclusive, supportive, and stimulating classroom environment that accommodates diverse learning needs, including students for whom English is an Additional Language (EAL).

·       Contribute to the co-curricular programme through activities such as coding clubs, robotics teams, hackathons, cybersecurity initiatives, and STEM competitions.

·       Participate actively in professional development opportunities and contribute to the sharing of best practices within the department and wider school community.

Job Requirements

·       Strong subject knowledge in Computer Science, with the ability to deliver high-quality instruction to learners of varying abilities.

·       Proven experience teaching Computer Science to students aged 11–16, including preparation for IGCSE or equivalent external examinations.

·       Excellent communication and interpersonal skills, with the ability to build positive relationships with students, parents, and colleagues.

·       Cultural awareness and adaptability, with the ability to work effectively within an international school environment.

·       Strong organisational and time-management skills, with the capacity to manage multiple responsibilities in a dynamic setting.

·       Proficiency in relevant programming languages (e.g., Python, Java) and educational technologies that support Computer Science learning.

·       Demonstrated ability to motivate, challenge, and inspire students to achieve their full potential.

·       Ability to teach a second STEM subject, such as Mathematics, Physics, or a related discipline, up to Key Stage 3 or 4.

·       Experience in curriculum development, departmental leadership, or coordinating initiatives within a Technology or Computing Department.

·       Experience supporting EAL learners and implementing strategies that facilitate language development within technical subject areas.

·       Familiarity with concept-based, inquiry-based, and project-based learning approaches.

·       Previous experience working in an international school setting.

·       Passion for promoting interdisciplinary STEM learning, including emerging areas such as artificial intelligence, robotics, data science, and cybersecurity.

Please submit your updated resume in Word format by using the Apply Now Button.

We regret that only shortlisted candidates will be notified.

Email resume to She••••••••@peopleprofilers.com

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.

Tel: 69•• •741

http://www.peopleprofilers.com

EA License Number: 02C4944

Registration Number: R1106021

Posting Personnel: Yeoh Xianni Sherry

REF: JOB-00418

Your new company

Our client in public sector is looking for an experienced Data Science Manager to join their team.

Your new role

• Translate strategic direction into actionable ML/AI digital transformation plans, ensuring scalable architecture and responsible AI standards.
• Define and drive CIO Office outcomes and OKRs, aligning with HQ goals and executing long-term roadmaps.
• Identify inefficiencies, anticipate risks, and take decisive action to improve operations and seize opportunities.
• Build cross-functional partnerships and foster a culture of innovation, collaboration, and continuous improvement.
• Develop and manage high-performing teams through coaching, hiring, and creating an environment for sustained performance.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• Deep expertise in satellite data, cloud infrastructure, and government security requirements.
• 10+ years of technical leadership experience in data analytics, database management, and software development.
• Knowledge of space systems such as mission control software, orbital analysis, and space weather tools (preferred).
• Excellent communication and strategic thinking skills, with the ability to translate complex concepts into actionable plans, plus program management experience.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

Job Summary

The Market Research Analyst is responsible for collecting, analyzing, and interpreting market data to help the company understand industry trends, customer preferences, competitor activities, and business opportunities. The role supports management in making informed strategic and operational decisions through data-driven insights.

Key Responsibilities

• Conduct market research and analyze industry trends, customer behavior, and competitor activities.
• Gather data from various sources including surveys, reports, databases, and online research.
• Prepare market intelligence reports and present findings to management.
• Monitor market developments, emerging trends, and changes in customer needs.
• Analyze sales, pricing, and product performance data to identify growth opportunities.
• Support product development, marketing campaigns, and business expansion initiatives with research insights.
• Design and manage surveys, questionnaires, and other research methodologies.
• Evaluate competitor products, pricing strategies, and market positioning.
• Develop forecasts and recommendations based on research findings.
• Maintain and update market research databases and reporting tools.

Requirements

• Bachelor's Degree in Marketing, Business Administration, Economics, Statistics, or related field.
• Proven experience in market research, business analysis, or related roles.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, PowerPoint, and data analysis tools.
• Excellent report writing and presentation skills.
• Ability to interpret complex data and provide actionable recommendations.
• Strong attention to detail and organizational skills.
• Good communication and stakeholder management abilities.

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/Assistant-Manager%2C-Contracts-&-Admin-Management/33092-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will be responsible for developing printable inks based on natural material-derived precursors, such as natural materials-derived calcium phosphate, or related biomineral materials. The work will involve optimizing ink rheology, printability, shape fidelity, and structural stability for extrusion-based 3D printing. The candidate will also design and fabricate porous scaffold architectures with controlled pore size, porosity, and interconnectivity, while optimizing printing parameters such as nozzle size, extrusion pressure, printing speed, and layer height.

A key part of the project will involve post-processing and material conversion of the printed constructs. The candidate will develop and optimize sintering or thermal treatment protocols to convert printed structures into bone-relevant ceramic phases. Through this process, the candidate will help tune the phase composition and mechanical performance of the scaffolds, with the goal of producing reproducible and scalable bone implant prototypes.

Qualifications

•             Bachelor’s degree in mechanical engineering, materials science, or a related field

•             Demonstrated experience in material characterization

•             Team player, able to work collaboratively in a team environment

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

We are looking for a Research Associate in Aerial Robotics to support a cutting-edge project focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. The role will focus on merging advanced computational modeling, AI-driven control algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in aerodynamics, robotics, and machine intelligence, working collaboratively to push the boundaries of small unmanned aerial system performance. This high-impact research aims to transform how drones navigate cluttered spaces, setting the stage for next-generation aerial platforms with wide-ranging applications in areas such as surveillance, inspection, and environmental monitoring.

Key Responsibilities:

• Support research and development related to Robot Design and Autonomous Control of an Avian-Inspired Robot

• Design and fabricate robust platform prototypes

• Develop models and algorithms (AI-based) for dynamics and control of flight.

• Support PI/Team Lead with project management activities and preparation of progress reports

Job Requirements:

• Education qualifications: MSc or MEng in Robotics, Mechanical, Aerospace, Electrical Engineering, or related fields. Specialization in aerial robotics, bio-inspired robotics, materials, or AI-driven control is preferred.

• Soft skills: Strong communication, teamwork, adaptability, and problem-solving abilities.

• Hard skills: Background in flight dynamics, control, robotics, AI/ML, embedded systems, and system modelling. Proficiency in Python, C++, and MATLAB/Simulink. Research publication record is preferred.

• Experience: R&D experience in designing, fabricating, testing, and refining aerial, autonomous, or bio-inspired robotic platforms.

• Competencies: Proficiency in CAD, rapid prototyping, autopilot flight control, ROS/ROS2, sensor integration, and experimental validation.

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

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent Research and support positive outcomes for the project and research group.

Key Responsibilities:

• Project performance

• AI method development

• Gathering of domain knowledge and formalization

• Writing of research documentation/ideas/publication

• Mentoring of students/other researchers (potentially) as well as long-term research agenda development and implementation

Job Requirements:

• Education qualifications: Master Degree in Mechanical Engineering or fitting domain with good results.

• Soft skills: Presentation, Research Lead

• Hard skills: Experience with Python/AI programming

• Experience: Experience and domain knowledge in the regarded Industrial AI domains.

• Competencies: Conducting Research, Academic Writing, AI and/or Manufacturing project scoping and performance

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

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract with possibility of renewal at the Centre for Research in Child Development (CRCD).

Project Title: Development of a Holistic Progress Tool for the Early Childhood Sector

Project Introduction:

This project aims to develop a “Holistic Progress” (HOP) Tool that early childhood (EC) educators can use to observe and document children’s holistic development in the second year of kindergarten. Phase 1 of the project focused on the development of the first cut of the teacher-completed HOP Tool (HOP V1) and preliminary tool completion guide. In Phase 2, HOP V1 was piloted with K2 educators and will be refined into HOP V2 based on psychometric data and stakeholder feedback. In Phase 3, HOP V2 will be piloted with a new sample of EC educators of K2 children and child outcomes assessments will be administered to examine validity evidence. In Phase 4, focus group discussions will be conducted with EC educators to gather feedback on the HOP Tool and develop the user guide. 

Requirements:

• Master Degree in psychology, early childhood education, or a related field

• Proficiency in statistical analysis and familiarity with software like R, SPSS, or Mplus

• Experience conducting assessments with preschool children

• Experience with designing instruments or assessment tools and psychometric analysis

• Experience with preparing and administering questionnaires using online survey software like Qualtrics or Redcap

• Experience with project management and data management

• Excellent communication skills, with ability to collaborate effectively with interdisciplinary teams and project stakeholders

• Background in research methodology, with experience in designing and conducting empirical studies

Responsibilities:

• Lead the preparation of protocols and instruments for administering child assessments with preschool children

• Supervise and train research staff on conducting assessments with preschool children

• Co-lead participant recruitment and coordination with preschools

• Co-lead data collection with early childhood educators, preschool children, and parents

• Lead data management tasks (including cleaning, coding, and analysis)

• Conduct data analysis using quantitative (e.g., psychometrics) and qualitative methods

• Write/prepare research reports and presentations independently

• Prepare ethics documents for institutional review boards

• Manage day-to-day operations and meticulous record keeping of the research project

• Manage research-related administrative work, e.g., purchase of materials or equipment for research

• Perform other tasks as required by the Principal Investigator

Application

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

Workday Job Requisition ID: R00024770
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Centre-for-Research-in-Child-Development---NIE-_R00024770)

Closing Date

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

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

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

We are looking for a highly motivated Research Fellow to lead AI for Science (AI4S) research, to develop AI software powered by large language models (LLMs) for process engineering and materials discovery, to mentor students, and to contribute to grant writing and publications.

Key Responsibilities:

• Participate in the conduct of research project with research team members to ensure completion of deliverables

• Develop LLM-based AI software to support process engineering and materials simulation and accelerate the discovery of novel materials

• Mentoring students in academic research related to AI4S

• Assist or write high quality reports and documents that consolidate research findings

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Process Engineering or related domains, with a research focus on LLMs.

• At least 1 year of experience in AI4S. International collaboration experience is preferred.

• Familiarity with legal and ethical compliance in AI4S.

• Good written and oral communication skills. Candidates with publications in both computer science and materials science are preferred.

• Proficiency in technical skills, including but not limited to Linux, Python, and PyTorch.

• Excellent leadership, communication, and organizational skills. Experience leading research projects is a plus.

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

The role of the Research Officer is to identify research streams, variables, data collection techniques and analysis methods that will be viable in translating research findings into clinical implementation. You will oversee the smooth running and track progress of the research study related activities and projects by working closely with the Principal Investigator and other members of the research team. You will monitor the project to make sure it follows the requirements and regulations and adhere to Standard Operating Procedures (SOPS), maintain data security, ensure quality control of experiments and comply to lab safety terms.

- Knowledgeable in various molecular and genomic biology techniques required for the conducting of research activities which include Spatial genomics sample prep, Cryosectioning, H&E staining, library prep as well as ultra-high throughput NGS sequencing workflows.

Your responsibilities include:

- Familiar with entry and validation of research data, filtering of relevant information, analysis of experimental data to extract relevant findings and presentation of them in a clear manner. Maintenance of existing database and compliance to data storage and security.

- Aware of the various reagents and consumables in the lab and check their stock take daily.

- QC various equipment in the lab to ensure they are in running smoothly. To highlight when stock is low, or maintenance is faulty to lab members to allow for troubleshooting and procurement of essential items to keep the lab running.

- Alert to lab safety procedures and compliance by adhering to the SOPS required for conducting research activities in a safe manner in a safe environment.

- Record proper documentation of all processes and documentation of lab equipment in accordance with quality requirements.

- Strongly encouraged to identify steams of research activities where procedures can be further optimized and to design improved experimental protocols where necessary.

- Participate in lab meetings, presentations, manuscript preparations, journal clubs to facilitate the exchange of knowledge among the team.

- Lead and mentor junior staff in sample processing, experiments, data analysis, and database updates. Supervise and train research attachment interns and assist their queries.

- Support the team with ad hoc activities which can include taking meeting minutes, tracking the progress of various projects ongoing in the lab, liaising with stakeholder to establish research needs, managing workload of the lab and any other duties as assigned.

Requirements:

- Degree/Diploma in Life Science or its equivalent.

- Prior work experience in a healthcare or research field setting would be prioritized.

- Knowledge in cryosectioning, paraffin sectioning, IHC staining, H&E staining, blood sample processing, western blot, and DNA/RNA extraction for next-generation sequencing will be a plus.

- Previous experience in handling small animals would be advantageous.

- Strong technical wet lab skills, able to troubleshoot, and meticulous in data analysis/experimental design would be preferred.

- Proficient in Microsoft Office applications.

- Proficient in English.

- Good interpersonal and communication skills; and comfortable interacting with healthcare professionals.

- Meticulous, a good team player, independent and self-motivated with good time management abilities.

- Good memory and strong organization skill with and eye for detail; able to take initiative and perform under pressure and tight deadline.

- Responsible and passionate about oncology clinical research.

At Optiver we operate without bureaucracy, without hierarchy and without egos. We are a trading firm that combines diverse skill sets, unique minds and the desire to be better. We’re passionate, driven and collaborative when it comes to tackling interesting problems. That’s where you come in.

Optiver is looking for an Commodities Analyst to join our growing Singapore office in the Commodities trading team.

WHO WE ARE

Optiver is global electronic market maker. We use our own capital, at our own risk, to trade on major financial markets around the world, 24 hours a day. We aim to always provide prices for a wide range of products including listed derivatives, equities, ETFs, bonds and foreign exchange. As such, we have no clients but provide liquidity services to the financial markets on which we trade. We do this by developing our own trading strategies and systems, using originally developed code and cutting-edge technology.

Optiver Asia Pacific represents one of three business units of the Optiver group (the others being Europe and the US). The Asia Pacific business unit includes the following locations: Sydney (regional headquarters); Hong Kong; Shanghai; Singapore; Taipei and Mumbai. The business in Singapore is deemed to be an integral part of the APAC strategy over the coming years with anticipation of significant growth.

WHAT YOU’LL DO

As a Quantitative Research Analyst, you’ll provide analysis in the commodity space. Your main responsibilities include:

• Conducting research for improving predictions in the commodities markets
• Using data to gather insights, improve decision making and performance
• Being a subject matter expert on your given market and asset class
• Driving continuous improvement
• Developing position-taking strategies on key markets leveraging fundamental and quantitative analysis
• Making good risk reward trading decisions based on analyzing large and complex data sets
• Collaborate with other trading members to improve other strategies from a quantitative perspective

WHO YOU ARE

To succeed in this role, you’ll need to have the below skills and experience:

• Strong analytical and quantitative skills with the ability to work with data to look for creative trading solutions to real world events
• Exceptional analytical skills, particularly in terms of identifying opportunities when analysing large data sets
• Extensive mathematical and statistical modelling skills, utilising a range of techniques
• Strong programming or scripting skills to develop your own robust models and algorithms to offer the best price on the products traded
• Ability to build tools and conduct analysis that take trading strategies to the next level
• Passion for trading and research and a strong desire to continuously improve
• Strong communication skills and ability to work in a fast paced environment
• Collaborative attitude and continuous improvement mindset

WHAT YOU’LL GET

• The chance to work alongside diverse, intelligent, and driven peers in a rewarding environment
• Competitive remuneration, including an attractive bonus structure and additional leave entitlements
• Training, mentorship and personal development opportunities
• Gym membership plus weekly in-house chair massages
• Daily breakfast and lunch
• Regular social events including an annual company trip
• A work-from-home allowance and support
• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

As an intentionally flat organisation, we believe that great ideas and impact can come from everyone. We are passionate about empowering individuals and creating diverse teams that thrive. Every person at Optiver should feel included, valued and respected, because we believe our best work is done together.

Optiver encourages Singaporean nationals and Permanent Residents to apply. Our commitment to diversity and inclusion is hardwired through every stage of our hiring process, we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.