Job Summary
As a Senior Postdoctoral Scholar, you are expected to establish a computational pipeline to achieve catalyst prediction for CO2 electrocatalytic reduction reactions.

This is a multi-step approach, where first DFT will be used to understand reactions, then explore the use of machine learning potentials towards kinetic and large length scale/time scale simulations and eventually integrate into the experimental workflow.

You will be based in at the BEARS Consortium in Singapore at CREATE and will work in a highly collaborative environment as part of the AxCIS team in Singapore, addressing challenges at the interface of materials chemistry, high-throughput synthesis, artificial intelligence, and robotic automation.

Duties & Responsibilities:

• Perform electronic structure calculations on bulk, surfaces, nanostructures as necessary.
• ⁠Develop AI/ML models to predict materials reactions using data-driven approach.
• ⁠Develop codes as necessary to assist existing and new code frameworks for advanced property prediction and analysis.
• ⁠Analyze and present results in meetings or conferences.
• ⁠Disseminate research outputs through high-impact publications, presentations, and data releases in accordance with open science practices.
• ⁠Collaborate with experimental team members, including partners in academia, industry, and national laboratories.
• ⁠Mentorship of junior team members, which can include undergraduate and graduate students.

Qualifications:

• PhD in a relevant discipline (e.g. Chemistry, Materials Science and Chemical Engineering).

Other Desired Qualifications / Experiences / Skills:

• >5 years Post-PhD experience
• Expertise in Artificial Intelligence/Machine Learning models
• Expertise in density functional theory calculations for catalysis applications

Primary Maths Teacher 

Location: Novena, Goldhill Plaza (5 min walk from Novena MRT)
Working days & Time:  

• 5 day work week (Including one weekend) 
• Rest day on Friday and Saturday
• 11am-730pm(weekday), 830am-630pm(weekend)

Salary: $3,800-$5,000

Job Description

• Execute the centre’ curriculum with fidelity (approximately 3 lessons per day, 2 hours per class, 30 minute break between each lesson).
• Record students’ quiz results and utilise our proprietary data-analytics platform to monitor and analyse class and students' learning performance.
• Provide parents with updates on performance and progress.
• Provide support and ideas towards the improvement, planning, and development of our curriculum.
• Perform necessary administrative tasks, provide coverage for peers, attend team meetings as scheduled.

Job Requirements

• Bachelor’s Degree Graduate.
• At least 2 years of teaching/tutoring experience (preferred)

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

The Singapore Centre for 3D Printing (SC3DP) is a research centre conducting fundamental and applied research in all aspects related to additive manufacturing. Our vision is to be the world leader in 3D Printing and a wellspring of knowledge, delivering state of the art and innovative solutions to the industry. SC3DP is at the forefront of developing advanced technologies and high-impact research in areas such biomedical, construction, aerospace, marine and offshore. It is one of the very few research centres globally with multi-sector 3D printing expertise. SC3DP’s research achievements, high-level industry collaboration, comprehensive facilities and resources have positioned it as a leading hub for 3D printing research and innovation globally.

For more details, please view https://www.ntu.edu.sg/sc3dp/

We are looking for a research assistant to develop a 4D printable wearable device for orthodontics. The role will focus on the operations of fabricating the wearable via vat photopolymerization. This includes preparation of photopolymer resin, setting up CAD models and printing parameters, 3D printing and post-processing, and evaluation of the final product.

Key Responsibilities:

• Fabricate 3D printed prototypes using vat photopolymerization

• Formulate photopolymer resin for vat photopolymerization

• Design CAD models and conduct FEM simulations

• Perform quality assurance and characterization for 3D printed parts

• Improve prototype through optimization in material and fabrication parameters

• Document research activities in technical reports

• Manage lab activities, administrative and logistics

• Collaborate with internal and external stakeholders

Job Requirements:

• BS degree in Engineering

• Able to work independently, while effectively communicating with the team

• Experiences in 3D printing, preferably with vat photopolymerization such as digital light processing

• Capable of CAD modelling, FEM simulation, mixing of chemicals, thermomechanical analysis

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

• Assist the investigators in overall administration of clinical research activities prior to, during and post study such as enrol suitable subjects, take vital signs, collect and process biological samples, collect and enter data, monitor subjects’ condition
• Work with the study team to ensure subjects’ safety
• Carry out the required procedures according to the SOP, study protocol and Instruction manual(s) and in compliance with the Regulations and ICH Good Clinical Practice Guideline
• Attend investigator’s meeting (local/overseas) and site initiation meeting as assigned and liaise with relevant internal and external agencies during the course of work
• Any other duties assigned from time to time

Requirements:

• Bachelor’s degree in Sciences, Nursing, Biomedical or any other discipline.

For interested candidates, please submit your latest resume to jacquelinefong@recruitexpress.com.sg

Jacqueline Fong Hsin Ting (R21103226)

Recruit Express Pte Ltd

Company Reg. No. 199601303W

EA License Number: 99C4599

Venture, a public listed company in SGX, is a leading global provider of technology services, products and solutions with established capabilities spanning marketing research, design, research and development. Over the years, Venture has built know-how and intellectual property with expertise in several technology domains. These include life science & genomics, molecular diagnostics, medical devices and equipment, healthcare and wellness technology, lifestyle consumer technology, health improvement products, instrumentation, test and measurement technology, networking and communications, fintech, as well as computing, printing and imaging technology.

Headquartered in Singapore, the Group comprises over 30 companies with global clusters in Southeast Asia, Northeast Asia, America and Europe, and employs over 12,000people globally.

At Venture, our people are our most valuable asset. We are committed to unifying culture, encouraging innovation, and harnessing the collective strengths and synergies of our human capital to deliver compelling differentiation, advancing Venture’s position as a leading global provider of technology solutions, products and services.

We’re looking to add a Senior Engineer, R&D (NPI) in Singapore. The position is based in our HQ at AngMo Kio.

As a Senior Engineer, R&D (NPI), you will:

• Plan and prepare product manufacturing process flow and manufacturing layout.
• Prepare manufacturing assembly work instructions, and examine BOM structure to align manufacturing process strategy planned.
• Manufacturing process cycle time and manpower estimations.
• Develop and qualify assembly and sub assembly fixtures for assembly.
• Conduct PMFEA study and plan for risk mitigation/control thru process solution initiatives.
• Conduct DFA study and interface with Design team to improve design aspects.
• Interface Design team and Manufacturing site to execute assembly line commissioning and manufacturing process validation.
• Conduct operator training for product assembly/manufacturing and certification.
• Oversee and lead the build execution while keeping the entire project team informed with regular progress updates.
• Track and Monitor manufacturing issues, and take initiative to address and resolve them, especially design/DFA issues, to avoid manufacturing issues in future.
• Prepare necessary process deliverables documentation and hand over to manufacturing site team to use as reference for Mass Production and onwards.
• Discuss with customer on the traceability requirement and plan for executing manufacturing traceability system thru DGS set up by coordinating with Operations team
• Understand packaging design concept of the Final Product and develop packaging instruction for the completed Product along with necessary labels required.
• Develop Assembly/FG inspection checklist during proto build to ensure products deliver to customer are properly inspected during process and prior to shipment.
• Manage Assembly Technicians and Operators
• Cross functional team communication and coordination

Requirements

• Degree in Mechanical/Mechatronics Engineering, with 3-5 years of experience in New Product Introduction activities of electromechanical products, by coordinating with R&D Design Team, Customer and Manufacturing Operations.
• Candidates with more years of experience can be considered for senior role.
• Familiar to understand 2D and 3D drawings of assembly and parts
• Proven ability inJig and fixture development and its validation
• Familiar with cycle time study, line balancing and manpower requirement analysis
• Efficient in oral and written communication, and preparation of presentation slides/materials
• Jigs/fixture concept development and validation, process implementation to achieve the quality/yield target
• Well versed with standard manufacturing processes documentations.
• Independently able to perform PFMEA, and plan for mitigation implementations
• Interpersonal communication skill
• Familiar with BOM structuring, implement ECN, Assembly Cycle time estimation and manpower calculations, line balancing, yield calculations and reporting, Build scheduling plan and report preparation etc.
• Ability to identify DFA issues/potential manufacturing issues upfront and propose Poka Yoke solutions for design improvement.

If you embody the spirit of excellence, passion for discovery, innovation and enterprise, and the desire to make a difference in the world of technology and electronics, come join the Venture team!

Be Part of the Global Venture Family.

Disclaimer:

By submitting your application to Venture Corporation Limited and its group of companies, you acknowledge and agree that any personal data you provide will be processed for the purpose of evaluating your application for employment.

If you are not selected for this position, we may retain your personal data to consider you for future employment opportunities unless you inform us otherwise. Should you wish to withdraw your consent or request access to or correction of your personal data, please contact our Personal Data Protection officer by email: dataprotection@venture.com.sg For more details, please refer to our privacy policy at Personal Data Protection Policy of Venture Corporation Limited.

Venture Corporation is aware of scams involving fraudulent job offers; where individuals pose as staff representing our company and/or post fake job openings. Kindly note that the company does not make job offers until after a candidate has submitted a job application and participated in a face-to-face interview.

Please be advised that all legitimate job opportunities at Venture Corporation and our subsidiaries are listed exclusively on our official careers page and verified job portals. Any job offer that requires payment or solicits personal information in the early-stage recruitment process is likely a scam.

We urge all candidates to remain vigilant and exercise caution when approached with suspicious job offers. If you have questions about any open positions at Venture Corporation, please contact us by email: hr.singapore@venture.com.sg

Kindly note that only shortlisted profiles will be contacted.

We are seeking an enthusiastic and dedicated Management Trainee for our Cafe manager role. This position is ideal for individuals looking to develop their skills in both customer service and café management. As a Management Trainee, you will receive hands-on experience in day-to-day operations, customer interactions, and leadership duties within our café.

Key Responsibilities:

Customer Service:

• Greet and interact with customers in a friendly and professional manner.
• Prepare and serve a variety of coffee drinks and other beverages according to company recipes and customer preferences.
• Assist customers with their orders, ensuring accuracy and efficiency.
• Handle customer complaints and concerns with tact and professionalism.

Operational Duties:

• Learn and perform all barista duties, including operating coffee machines, grinders, and other equipment.
• Maintain cleanliness and organization of the café, including the seating area, counter, and equipment.
• Assist with inventory management, including restocking supplies and conducting inventory checks.
• Follow health and safety guidelines to ensure a clean and safe environment for customers and staff.

Management Training:

• Assist the Operation Manager with daily operations, including opening and closing procedures.
• Participate in staff training sessions to understand company policies, procedures, and standards.
• Gain experience in scheduling, payroll, and other administrative tasks.
• Support the Operation Manager in planning and executing promotional activities and events.

Qualifications:

Education and Experience:

• High school diploma or equivalent required; a degree in hospitality, business, or a related field is a plus.
• Previous experience in a café or customer service environment is preferred.

Skills:

• Excellent communication and interpersonal skills.
• Strong organizational skills and attention to detail.
• Ability to work in a fast-paced environment and handle multiple tasks simultaneously.
• Leadership potential with a desire to grow into a management role.

Additional Requirements:

• Flexibility to work various shifts, including weekends and holidays.
• Passion for coffee and a desire to learn more about the craft.

Benefits:

• Competitive salary with opportunities for performance-based raises.
• Comprehensive training program and ongoing development opportunities.
• Employee discounts on products and services.
• Potential for career advancement within the company.

Job Summary
We are seeking a hands-on postdoctoral researcher at BEARS under AxCIS Project (AI xploration of Catalysis with Inorganics and Surfaces) in Singapore. This project uses AI and laboratory automation to develop integrated pathways for producing chemicals and fuels in a holistic approach to decarbonization. This role centers on integrating an LLM-driven agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. You will work closely with multidisciplinary team and  architect and ship end-to-end, closed-loop workflows that connect instruments, edge devices, data backends, and AI agents.
Duties & Responsibilities

• Integrate instruments and IoT devices with reliable drivers/APIs; build autonomous/robotic testing workflows.
• Design LLM agents for planning, tool-use, and experiment control with safety interlocks.
• Develop and deploy RL/BO/active learning for closed-loop optimization.
• Build data pipelines, dashboards, and provenance; analyse and present results.
• Publish in peer review Journals and conferences, and coordinate with sponsors/collaborators.

Qualifications

• Ph.D.  in Computer Science/ Electrical Engineering/ Robotics/ Chemical Engineering /Mechnical Engineering or related.
• Strong in Python, with experience with hardware and software integration (serial/TCP/IP, MQTT, API).
• Practical ML background, including RL/BO; Docker/Linux/Git familiarity.
• Track record in automation or autonomous labs; good communication and collaboration skills.

Part-time Primary Science tutor / tuition teacher

Job Position Available 

• Primary School Science
• Lower Secondary Science
• O Level Chemistry,
• O Level Physics
• O Level Biology

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum

• Provide academic guidance and regular progress updates to parents

• Collaborate on lesson content updates and curriculum improvements

Working Hours

Based on the class you are conducting.  

Salary

$50-100/hr

Job Requirements

• Have past experience in teaching Science

• Strong understanding in Singapore MOE primary / secondary school syllabus for your relevant

subject.

• Degree in Science or Science related courses

• Possess excellent communication and collaboration skills

• Passionate in teaching and mentoring students

• Strong team player with excellent interpersonal skills

Qualification

• Degree Holder (Science Degree Chemistry/Life Science/ Engineering/Teaching)

Scope of Responsibilities and Deliverables 

1. Oversees and coordinates ecosystem activities for quantum computing and technologies:

1. Supports the Executive Director of the National Quantum Office in developing and executing a go-to-industry strategy that will support the growth of a vibrant quantum ecosystem in Singapore.
2. Leads the National Quantum Office’s response to key companies interested to deepen collaboration on Quantum with our national-level quantum programmes such as the National Quantum Computing Hub, and coordinate with the Singapore’s ecosystem to secure stakeholders’ support.
3. Maintains a positive and productive relationship with partners, resolving partnership and technical issues on behalf of the Executive Director.
4. Provides industry domain expertise and advice to the Executive Director on industry and enterprise development aspects for quantum technologies.
5. Represents the Executive Director at various stakeholder platforms on ecosystem development matters.

Requirements

1. At least 10 years of working experience in a similar capacity, with background in science or engineering and an understanding of quantum technologies.
2. Good communication (written and verbal) and interpersonal skills for good relationship management.
3. Strong problem solving, analytical and systems thinking abilities
4. Resourceful and independent
5. Able to work collaboratively with internal and external stakeholders

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret 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-Assistant-%28Healthy-Longevity-TRP%29/33180-en_GB/?st=85BD52711C8E3993F670E5AFFC6D000B3F0C691E

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for Geroprotectors in Reproductive Ageing in Professor Brian Kennedy’s Centre for Healthy Longevity (CHL) lab in Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. CHL focuses on translational research targeting healthy aging, with particular emphasis on the use of repurposed drugs and natural compounds to improve reproductive healthspan. Model organisms include Caenorhabditis elegans (C. elegans) and mice. This position is offered on a one-year contract, with the possibility of renewal based on performance and funding.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the rigorous execution of experimental protocols and timely progression of project milestones. The RA’s role will be to screen for compounds that will increase reproductive health using the C. elegans model, and to study the effects of the compounds with aged mice models.

Main duties and responsibilities

The Research Assistant will work closely with the team to:

1. Perform large-scale compound screening using the C. elegans model;
2. Conduct mechanistic investigation on hit compounds in C. elegans;
3. Manage and maintain the mouse colony, including:

• Ensuring sufficient feed
• Monitoring animal health and breeding status
• Tracking estrus cycles
• Performing weaning and basic phenotyping
• Conducting downstream biochemical and molecular assays

1. Carry out literature reviews, data analysis and detailed documentation of experimental results and project progress;
2. Maintain the highest standard of professional conduct and documentation practices in accordance with institutional policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the Principal Investigator.

Qualifications

The applicant should:

1. Have a Bachelor’s degree with good results in Life Sciences, Biomedical Sciences or related disciplines, with a strong academic track record;
2. Be able to work independently and in a team, have an investigative nature, exercise sound judgment and handle multiple tasks with precision and accountability;
3. have strong organizational and documentation skills, attention to detail and scientific curiosity
4. Be a highly motivated team player with good communication skills, and willingness to learn and take initiative;
5. Previous experiences with laboratory animals, particularly mice, is strongly preferred. The role involves extensive hands-on work with mice.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Dong Lu at lu_dong@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, 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.

We regret 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-Assistant-%28IDS%29/33172-en_GB/

We regret that only shortlisted candidates will be notified.

Overview

We are looking to recruit a Research Assistant for the project “LU-STM: Large Urban Spatial Temporal Model for Urban Planning and Governance”, which will be hosted at the Institute of Data Science (IDS), National University of Singapore (NUS) and led by Prof Ng See Kiong. This project aims to orchestrate end-to-end analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions.

Only shortlisted candidates will be notified. Please include links to your GitHub repositories showcasing your best project relevant to these topics in your CV/cover letters.

Job Description

Job Summary: The Research Assistant will support research and engineering activities for developing analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions. You will help design, implement, and evaluate analytical workflows; build and maintain software prototypes and experimental testbeds; and assist with data, documentation, and stakeholder engagement. This role provides hands-on experience across AI research and practical deployment at IDS.

Responsibilities:

• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data.
• Perform data engineering tasks including data cleansing and processing for analysis of real-world datasets.
• Assists with the editing and preparation of manuscripts, reports and presentations.
• Participate in presentations and demos for exhibiting work at appropriate events.

Requirements

• Bachelors or Masters in Computer Science with a focus in AI, Machine Learning and Big Data.
• Solid programming and application development skills (Python preferred) and experience with ML frameworks (e.g., PyTorch, TensorFlow) and modern development practices (Git, testing, CI/CD).
• Ability to develop robust systems and prototypes with fast turn-around.
• Possesses research background with ability to read and understand methodologies in research papers.
• Fluent in English and good team-player.
• Prior AI expertise with knowledge and interest in spatio-temporal foundation models and urban data analytics is preferred.

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-Associate-in-Sustainable-Finance-%28SGFIN%29/33177-en_GB/?st=9150308994CF31FCAACEE319707B32B09BE6EC1E

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS.  SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and contribute to the collection and organization of corporate financial and sustainability disclosures
• Plan and contribute to the collection and organization of information regarding government policies and regulations in the sustainability space
• Contribute to qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research analysts on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Qualifications

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is highly preferred, with a PhD degree preferred
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

Location: Buona Vista
Hours: 3-4 days / week, office horus
Pay: $21/hr

Job scope:
- Lab duties as assigned
- Data entry and results collation

Requirements:
- Min. diploma in biomedical/science or related fields
- Some lab experience required

Interested candidates please submit their detailed resumes via email to 

biopharma@recruitexpress.com.sg

All applications and personal information received will be treated with the strictest confidence.

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

EA Licence No.: 99C4599

Core responsibilities include R&D project execution, experimentation and benchmarking, development of model training strategies, and drafting of technical documentation, proposals and project scoping materials. The position entails working in a highly interdisciplinary R&D team in close collaboration with experts in NLP, LLMs, clinicians, population health, and other health ecosystem stakeholders on AI systems that have the potential to transform patient care and deliver improved health outcomes

Appointments will be based in Singapore for 3 years duration.

Qualifications and Field of Study

Qualifications

• PhD in Computer Science, Machine Learning, NLP, Biomedical Informatics, or a related field
• Strong experience in LLM pre-training and fine-tuning (CPT, SFT, DPO, RLHF-style methods)
• Experience with large-scale training frameworks (PyTorch, DeepSpeed, FSDP, HuggingFace, etc.)
• Experience handling noisy real-world clinical or biomedical text data
• Strong experimental design and benchmarking skills
• Familiarity with cloud-based GPU training environments

Desirable:

• Experience with medical reasoning LLMs
• Background in medical NLP or healthcare AI
• Publications in ML/NLP/health AI journals/conferences

Experience

2-4 years post-PhD with track record in domain deployment oriented projects in applied health or other domains, and in publishing research in leading digital health venues. Experience in healthcare, corporate or application-oriented environments desirable.

Other Requirements (e.g. Skills, Competencies)

Competencies

• Keen experience and intuition for working with large, complex real-world health datasets
• Ability to innovate with advanced NLP and FM methodologies as well as to direct prototyping for demonstrating research ideas
• Exposure to varied digital health study designs, research methods, human computer interaction frameworks, and clinical evaluation approaches
• Cross-disciplinary experience spanning clinical needs definition, clinical workflow understanding, R&D problem formulation, health or medical technology evaluations, impact evaluation and/or real-world implementation.
• Ability to work independently as well as in multidisciplinary teams with strong interpersonal skills
• Good communication skills for publications, reports and proposals.
• Quick learner; able to acquire the necessary domain knowledge
• Agility in dynamic project environments with impact-oriented mindset

Drive to keep pace with AI/LLM R&D developments, work with full stack data engineering and deployment teams for real world projects, and with healthcare ecosystem partners on clinical translational studies highly desirable.

Skills

• Experience with LLM/FM frameworks as well as NLP/LLM toolkits
• Experience with ETL processes and dataset curation for FM training, especially for large or multimodal health datasets
• Strong programming abilities, particularly in Python and Bash for LLM pipelines, clinical data preprocessing, and ETL workflows. Experience with SQL/PostgreSQL and large-scale data processing (e.g., PySpark) is advantageous.
• Strong quantitative skills including statistics, probability, machine learning, and deep learning, with the ability to design rigorous evaluation frameworks for LLM reasoning quality, trustworthiness, and clinical safety.
• Comfort with biomedical knowledge representation and model evaluation
• Comfort within cloud-based data engineering and ML environments
• Exposure to FMOps/DevOps infrastructure and pipelines for deploying AI/LLM solutions for healthcare applications 

Motivated applicants with significant AI expertise and strong programming skills who are looking to switch into domain related roles and committed to building robust and scalable approaches for national scale healthcare impact will also be considered.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Company Overview

D’perception, established in Singapore since 1991, is a leading commercial interior design consultancy in the Asia-Pacific region. We deliver exceptional office, retail, and hospitality interiors that integrate business solutions with design excellence and budget adherence.

Job Summary

Support the design team by producing detailed drawings, preparing presentations, sourcing materials, and assisting project management to deliver high-quality interior design solutions.

Responsibilities

• Assist in detailed design drawings using AutoCAD to support project requirements
• Assist in design presentations incorporating visual aids such as color schemes and material boards
• Assist in sourcing competitive quotes, materials, and samples to meet project specifications and budget
• Assist in developing and updating construction specifications and design documentation for project execution
• Assist Project Manager in processing variation orders and closing project accounts
• Present design concepts clearly and effectively to clients to facilitate decision-making

Preferred competencies and qualifications

• Currently Pursuing Diploma or Degree in Interior Design or other relevant fields
• Creative conceptual design skills to develop innovative interior solutions
• Proficient in technical and detailed coordination of drawings for accurate project delivery
• Competent in AutoCAD, Photoshop, PowerPoint, Excel, and other design software to enhance presentations and documentation
• Skilled in space planning, conceptual design, and interior detailing to optimize functional layouts
• Strong teamwork and proactive communication skills to collaborate effectively with colleagues
• Client management skills to maintain positive relationships and understand client needs