Total 6,701 Others/Any science rd research job vacancies in Singapore

Our Robotics and Automation Research (ROAR) Laboratory at SUTD is a leading research laboratory specializing in reconfigurable robotics and has contributed to significant intellectual outcomes, novel robotic platforms, impactful applications, patents, and commercial products. We have developed a new branch of robotics namely tiling robotics and a stream of associated research topics.

Your primary responsibilities include:

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

Requirements:

• PhD degree in Mechanical Engineering, Electronics Engineering or related field
• Strong experience with mechanical design softwares and manufacturing processes
• Electromechanical system design experience is strongly preferred

Role:

This is a full-time, onsite, Science Teacher Assistant Role in MOE Primary School. If you are selected,

You will work closely with HOD/LH-Science and/or Admin Manager in an MOE Primary School (nearest MRT- Boon Keng) in the day-to-day activities.

Company provides endless opportunities for career progression and better work - life balance.

Responsibilities:

The Services required are set out as follows:

• Maintain a safe, clean and tidy laboratory environment.

• Ensure that all apparatus and equipment are safe and clean for use.

• Maintain laboratory equipment, apparatus, materials and specimens in good working condition.

• Report all faulty machines and equipment immediately, and display an “Out of Order” sign prominently on the machines/equipment.

• Ensure that all glass apparatus or breakages are disposed of appropriately.

• Ensure that Bunsen burners and high risk items (data loggers and microscopes) are properly kept and under lock and key.

• Inspect Bunsen burners to ensure they are in good condition.

• Keep a stock book and breakage record to indicate necessary replacement.

• Check and replenish first aid supplies.

• Aid Science teachers in preparing resources for laboratory lessons.

• Aid Science teachers during laboratory lessons, when required.

• Aid Science teachers with the clearing up after laboratory lessons, when required.

• Any other work assigned by the Science HOD.

Job Requirements:

A) The Personnel shall have the following qualifications, skills and experience:

(i) Has experience working at Science Labs in Primary Schools.

(ii) Can speak, write and understand English

B) The Personnel should preferably be able to use phone message apps and emails.

C) The Personnel should preferably have performed the duties as prescribed in the Job Responsibilities

Summary:

Contract Period: From 1 Jan 2025 to 15 Nov 2025

Working Hours:

• Mondays, Wednesdays and Fridays: 8:00am to 1:30pm inclusive of 0.5 hr break (5 hours per day, 3 days/15 hours a week)

• 15 hours work-week may be deployed flexibly, but still limited to the 3 working days per week.

• Deployment hours is capped at 15 hours weekly.

Service not required on Saturdays, Sundays, gazetted public holidays and School Holidays (including March, June and September breaks) / Events / Activities

Location (Nearest MRT): Boon Keng

Our client is a Non Profit Organization (NGO). They are looking for an Assistant Head of Research Centre to assist their team for the next phase of their business. They are located in Central, easily accessible.

Responsibilities of Assistant Head of Research Centre:

• Guide junior team members in researching Singapore’s unmet needs and oversee value proposition presentations for donors and stakeholders.
• Summarize and present research insights clearly for non-research audiences.
• Initiate and manage research projects aligned with organization’s philanthropic goals.
• Collaborate with external researchers to address key unmet needs.
• Ensure research findings inform donor engagement and grant-making.
• Stay updated on sector trends and share knowledge with the team.

Requirements:

• Postgraduate qualification in research for Social Science related studies
• Min 6 to 8 years of working experience in similar industry is highly prefered
• Strong in research paper writing and presentation skills

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R22108850 (Chan Mun Mun)

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are seeking a highly motivated Research Assistant to join the laboratory of Professor Yonggui Gao. Supported by a Tier 1 grant, this position focuses on protein translation and regulation involving the ribosome, as well as protein preparation and characterization. Applicants with experience in molecular cloning, protein expression, and purification are preferred, but all motivated candidates with a passion for research are encouraged to apply.

Key Responsibilities:

• Protein expression and preparation for protein and complex studies
• Biochemical and biophysical characterization
• Microbiological assays
• Other duties as assigned

Job Requirements:

• BSc in Biological Sciences or related field
• Strong motivation and passion for research
• Experience in molecular cloning, protein expression/purification (preferred but not required)
• Excellent written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Ability to work collaboratively within a team

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

SCIENTIFIC MANAGER – Research & Development / Drug Discovery - Oncology

The opportunity:

As a Scientific Manager you will lead and coordinate research and development projects in the life sciences sector and contributing to the research and development of latest drugs in oncology.

You will have the opportunity to manage a team of scientists, setting research priorities, ensuring project timelines and objectives are met and meeting high standards of quality and regulatory compliance.

What we look for:

• PhD or Master’s in Life Sciences, Biotech, Medicine, Pharmacology, or related field.
• 5-9 years of experience as a scientist in research and development
• Experience in drug development R&D work in Oncology
• Strong data analytical skills and providing solutions to resolve complex issues
• Strong interest in Drug discovery and preclinical work
• Ability to oversee experimental design, data analysis and make data driven decisions
• Proven experience in in vitro/in vivo and animal work/models
• Track record in managing scientist team and department, support strategic planning, and demonstrate leadership, project management and scientific expertise
• Track record of scientific publications, writings and contribution to the scientific community
• Experience in research management and cross-functional teams.
• Excellent communication and organizational skills.

What we offer:

• Exciting drug discovery projects
• Access to the global community of scientist
• Innovative environment
• Career development

What’s next?

We are now welcoming applications of experienced scientist with a passion for discovery.

If you are passionate towards the discovery of therapies in the treatment of cancer, then we would like to hear from you.

Please reply to this posting with your most updated CV, current and expected salary details.

We apologise that due to the high volume of applicants we may be unable to respond to everyone. Should you not hear from us, please assume your application was unsuccessful for this time and we welcome your application again the next.

We look forward to considering your application.

Engage Life Science – Singapore & SEA
[email protected]

Engage Group Pte.Ltd is a licensed business under the Ministry of Manpower: (EA: 18C9316)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow is required to:

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Possess a PhD degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

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

We regret that only shortlisted candidates will be notified.

About Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia.

We invite applications for the position of Research Assistant who will be housed in the Department of Computer Science, School of Computing (SoC) under Principal Investigator, Professor Liang Zhenkai for research grant ref: NRF/UP#1, titled: “Security and identity management of digital infrastructure for FinTech services.”

We are strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the wellbeing of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

Qualifications

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects under the NRF grant. He/she should possess experience or interest in at least one of the following research areas:

• Security
• Systems and Networking

Job requirements:

• Bachelor’s degree with at least 2 years’ relevant work experience;
• Programming skills in C/C++.
• Experience in research.
• Experiences with the following areas will be preferredProgram analysis
  System/OS kernel development
  Audit log analysis
  Trusted hardware programming
  

More Information

Location: Kent Ridge Campus

Organization: Asian Institute of Digital Finance

Department : FinTech Research

Employee Referral Eligible: No

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant at the Centre for Sleep & Cognition, Yong Loo Lin School of Medicine. The research will involve the development and application of machine learning algorithms to brain MRI data.

Purpose of the post

We seek an enthusiastic and self-motivated research assistant to join our team.

Main duties and responsibilities

The research assistant will be expected to develop and apply machine learning algorithms to brain MRI and other health data. The candidate will also provide support to other projects in the centre.

Qualifications

The applicant should:

1. Have an honors (first class or high distinction or equivalent) in the Bachelor of Engineering, Computer Science, Math or related STEM discipline.
2. Be able to work independently and in a team, have an investigative nature, attention to detail;
3. At least 3 years of research experience in python and deep learning of brain MRI data

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Yeo Boon Thye Thomas at [email protected].

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 this job portal.

We regret that only shortlisted candidates will be notified.

Salary: up to $3800

Working Days & Hours: Mon-Fri Office Hours

Location: Yishun

Job Description:

Wide spectrum of Accounts Payable functions and General Ledger functions

Process payments to suppliers and ensure payments are made within credit terms

Download bank advices and send to concerned parties upon request

Data entry into ERP system, cash book and ensure correct classification of the expenses

Analyse and review reasonableness of expenses, and provide accruals when necessary

Check and prepare doctors’ payments

Recording of intercompany recharges

Perform Billings for all diagnostics services and products

Closing of company accounts.

Handling quarterly GST Submission; maintaining Audit Schedules and GL transactions.

Job Requirements: Min Diploma in Accountancy or similar w min 3 yrs of relevant experience in handling full set of accounts and statutory reporting

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

The College of Computing & Data Science (CCDS) invites applications for the position of Postdoctoral Fellow. The Postdoctoral Fellow will be responsible for conducting research on mobile-friendly data visualization, including mobile data visualization design and convenient interactions. Successful candidate will be part of an active research team led by Prof. Yong WANG at the College of Computing and Data Science, NTU, Singapore

Key Responsibilities:

• Survey existing studies on mobile data visualization design and its interaction
• Develop new techniques for the design and creation of mobile-friendly data visualizations
• Develop novel techniques for effective and convenient user interactions with data visualization on mobile devices
• Document writing on summarizing the research outputs
• Help lead the research project and manage team members

Job Requirements:

• PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Prior experience in data visualization, human computer interaction, machine learning, data mining or data analytics
• At least 2 top-tier research publications in the field of data visualization and HCI
• Self-motivated individual who can work independently and also collaboratively with team members
• Good analytical, technical and problem-solving skills
• Strong leadership

We regret that only shortlisted candidates will be notified.

Salary: up to $5000

Working Days & Hours: Mon-Fri Office Hours

Location: Yishun/Great World City

Job Description:

• Provide executive support to Board members and Senior Management

• Provide administrative support and manage calendar for Board members and Senior Management

• Handle travel arrangements (air ticket booking/ visa application/ accommodation reservation/ arranging schedule) and manage all expense claims

• Plan team meetings, corporate events, and other organisational activities,

• Coordinate internal and external logistics for high-level meetings

Job Requirements: Min Diploma/Degree in Secretarial / Business or similar w min 3 yrs of relevant secretarial experience

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Position Responsibilities

High School Educator Responsibilities

• Foster a sense of student belonging by cultivating joy and purpose throughout the High School.
• Contribute to our commitment to extraordinary care by acting as an advisor for a small group of students and by teaching our advisory social-emotional learning curriculum.
• Identify essential learning and use a planning framework with standards, learning targets, real-world connections, and a culturally responsive curriculum.
• Design quality standards-based formative, summative and self assessments that provide students with frequent feedback and communicate students’ growth and achievement.
• Plan and implement engaging learning experiences that are inquiry-based collaborative, culturally responsive, and differentiated.
• Respond to learners’ diverse needs using responsive, measurable, and research-informed interventions and extensions.
• Utilize flexible, rigorous and adaptive Tier I instructional practices to allow students of all diverse language and learning styles to effectively access learning.
• Collaborate as a member of a Professional Learning Communities (PLCs) that creates a supportive community, plans curriculum, gives and receives feedback, and engages in professional learning and reflection.
• Actively engage in professional learning and growth through regular observation and feedback cycles, walkthroughs, and reflection with Professional Learning Community Coach and Principals, and participate in external opportunities.
• Design and implement inquiry-based learning experiences in and beyond the classroom to prompt learners to question, investigate, create, and reflect.
• Demonstrate an understanding of interdisciplinary connections, teaching and/or learning.
• Creatively leverage flexible learning spaces and flexible grouping to provide for a variety of learning styles, ability levels, and educational backgrounds
• Integrate technology in innovative ways in daily instruction to enhance learning.
• Engage with students in meaningful activities beyond the classroom that extend student learning experiences (coaching, organizing field trips, sponsorship of clubs, events, overseas travel and/or community service projects, etc.).
• Strive for continuous self-improvement as a life-long learner.
• Model the Core Values in your interactions with all members of the school community.
• Lead and engage with students in meaningful activities beyond the learning spaces, which extend learning experiences for students (i.e. travel on Interim Semester, sports coaching, field trips, sponsorship of clubs, attend events beyond the school day, community service projects, etc.)
• Connect with and be available to parents and students during and outside of school hours (in person and via email communication)

Role-Specific Responsibilities

• Utilize Next Generations Science Standards (NGSS) to plan, teach and assess.
• Demonstrate willingness to teach a variety of different foundational to advanced studies Physics courses for grade 9 through 12
• Demonstrate an understanding of interdisciplinary and inquiry-based teaching and learning

Position Requirements & Qualifications

• Bachelor’s Degree in relevant field
• Master’s Degree in relevant field preferred
• Teaching license or a degree in education
• Experience teaching physics across a broad range of levels preferred
• Next Generations Science Standards (NGSS) curriculum experience preferred
• At least two years of full time teaching experience preferred
• Excellent verbal and written English language skills

Working Requirements

• Sponsoring and/or coaching after school arts, activities or sports are part of the responsibility of the professional educator. Therefore, faculty shall be available to direct, coach and/or sponsor an athletic team or other extra curricular activity or arts. Each faculty member is expected to do a minimum of one category 1 activity or sport per year.
• Mandatory attendance of weekly faculty meetings beyond the school day, new hire orientation and educator professional learning days.
• Chaperone and participate in a minimum of four evening and/or weekend school activities each year, as assigned (including "Back-to-School Night", learning conferences, musicals, concerts, and more).
• SAS faculty members are expected to commit to chaperoning learning experiences including those requiring overseas and/or overnight excursions, including but not limited to High School Interim Semester, IASAS Music and other curricular and co-curricular trips.

Role:

This is a full-time, onsite, Science Teacher Assistant Role in MOE Secondary School. If you are selected,

You will work closely with HOD/LH-Science and/or Admin Manager in an MOE Secondary School (nearest MRT- Dakota) in the day-to-day activities.

Company provides endless opportunities for career progression and better work - life balance.

Responsibilities:

The key roles and responsibilities of the science laboratory support officer are to provide general cleaning and assist the science laboratory technician to maintain the science laboratories and preparation rooms.

General cleaning of laboratories and preparation rooms

1. Sweep and mop floors of laboratories and preparation rooms after use.
2. Empty trash bins placed at the sink areas and floors at the end of each day.
3. Clean laboratory benches and sinks at the end of each day if there are practical lessons on the day.
4. Refill hand soap, disinfectants and paper towels.
5. Empty broken glassware container if it is filled.

Provide general cleaning of laboratory equipment and apparatus under laboratory technician’s guidance

1. Washing of glassware (beakers, measuring cylinders, plastic bottles and vials).

Support laboratory technician to prepare materials and equipment under supervision

1. Replicate the experimental set-up after an example has been shown.
2. Weigh chemicals into bottles, fill up bottles with solutions and/or prepare other science-related equipment or materials.
3. Distribute or replenish equipment or chemicals to students during practical lessons.

Job Requirements:

1. At least one year of working experience supporting School’s operations.
2. Preferably has experience as a cleaner supporting science laboratory operations.

Summary:

Contract Period: From 1 Jan 2025 to 15 Nov 2025

Working Hours:

Personnel to be deployed at the following hours:

• Mondays to Fridays: 10.00am to 4.00pm, inclusive of 30 minutes lunch break

Location (Nearest MRT): Dakota

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Research on tackling the research problems of SAR image recognition and object detection (semantic segmentation included).
• Develop the state-of-the-art algorithms of SAR image recognition models and publish papers.
• Implement the systematical toolbox using the trained SAR models.
• Demonstrate and visualize the research results in regular meetings with DSO Lab.

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 3 years of relevant research experience in computer vision and deep learning.
• Proficiency in programming languages such as c++ and python is required.
• Demonstrated experience and know-how on pytorch and tensorflow.
• Excellent working knowledge of SAR image processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in incremental learning, few-shot learning, and long-tailed image recognition topics will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

The SLim Group is looking for a dedicated and highly motivated early-career scientist as a Research Associate (RA) who is interested in advancing the application of protein cages as MRI contrast agent in identifying atherosclerotic plaques. The RA will be an individual contributor who is a technical expert and will be working in a multi-disciplinary team involving bioengineer, materials scientist, biological scientist, and medical physicist.

Key Responsibilities:

• Setting up protocols for imaging and analyzing the protein cage within the plaques;
• Executing experiments to achieve the specific aims of the project;
• Presenting results in various meetings/forums;
• Preparing reports for submission to the funding agency;
• Liaising with other scientists in the team as well as in other groups to develop the required expertise;
• Advising final year project and/or interns in the project.

Job Requirements:

• Master’s in bioengineering or related fields
• Working knowledge in protein production using E. coli and purification using AKTA FPLC
• Working knowledge in basic molecular biology techniques and protein analytics
• Experienced in protein cage handling
• Highly preferred skills: familiarity with atherosclerosis, MR image processing
• Able to design and execute experiments with minimal instructions
• Good communication skills in both verbal and written forms
• Take initiatives and lead a project and ensure delivery of outcomes in a timely manner
• Team player who will take part in general lab activities

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Psychology, National University of Singapore (NUS), invites applications for the position of full-time research assistant to serve as study coordinator for a new project funded by the National Medical Research Council. The successful applicant is expected to commence duties at NUS from November 2024, or as soon as possible thereafter.

This position is connected specifically to a research project titled, "Predicting anhedonia using naturalistic and lab-based measures of reward." The projects are under the direction of Principal Investigator Assistant Professor Kean J. HSU (Department of Psychology).

Scope and responsibilities
The research assistant will provide support to the PI (Asst. Prof. Kean J. HSU) and other project team members on overall research administration for the project, including coordination of research staff and trainees based on a lab schedule, training and supervising new volunteer research assistants, screening, recruitment, scheduling, and retention of research participants, following up with participants regarding their online follow-up assessments up to six months post-baseline, tracking of overall research project progress, as well as running participants through in-lab study protocols. They will also be responsible for supporting IRB protocol modifications and compliance, managing data (including basic data analysis), and managing telegram project channel and project website. Based on their performance and skills demonstrated in this role, study coordinators may be invited to assist with manuscripts and earn co-authorship credit for their work. This position is ideal for individuals interested in graduate school for clinical psychology (whether local MA or international PhD).

If interested, please submit a cover letter that outlines your suitability to the role based on the job description and listed job skills, unofficial transcript, and resume/CV.

**Only shortlisted candidates will be contacted for interviews.

Qualifications

NECESSARY:
-Familiarity and interest in clinical psychology, behavioral medicine, or health science
-Detail oriented
-Organized
-Conscientious
-Able to problem solve and think critically when confronted with challenges or uncertainty
-Strong interpersonal skills
-Comfortable with technology and productivity software (e.g., Microsoft Office or equivalent)
-Driven/persistent

DESIRABLE (but not required for application):
-Prior volunteer/work experience in a research lab setting
-Interest in handling data analysis code (e.g., R)
-Prior experience working with individuals with mental health challenges

More Information

Location: NUS Kent Ridge Campus

Organization: National University of Singapore

Department : Psychology

Job title: AI Research Scientist

• Opportunity to be a part of a global Artificial Intelligence team!
• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years

What you will do

Responsibilities include, but are not limited to:

1. Perform research, assessments and technical evaluations of AI models, methods and frameworks to solve problems or derive benefit to company AI capabilities and generative AI program

2. Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery

3. Proactively scan and keep up to date with AI research

4. Support the creation of intellectual property

5. Develop and implement methodologies, benchmarks, toolkits for different AI approaches.

6. Collaborate with data science and AI community on joint projects and investigations

7. Work within an integrated manner with teams operating within agile frameworks

8. Assist in technical training and knowledge sharing

9. Senior members would have leadership of one or more AI domains and a small team of AI scientists and researchers, and be expected to play a role of active mentorship

Education Minimum Requirement:

• B.S. or M.S. in Artificial Intelligence, Machine Learning, Computer Science, or related field. PhD highly regarded but not necessary.

What you must have

To be successful in this role, you will have:

• At least 3 years of experience working with model training and deployment
• Proficiency in GenAI, deep learning, NLP, CV and ML frameworks, other AI disciplines regarded useful
• Hands-on code development experience and familiarity with the python scientific computing stacks
• Understanding of artificial intelligence research landscape and ability to review research publications
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• Experience developing algorithms in Python or C/C++. Knowledge of transformer-based models a plus
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions highly regarded
• Bachelor's degree in a relevant technical field or equivalent practical experience. PhD in a related field or equivalent practical experience not essential but highly regarded

Required Skills:

Artificial Intelligence, AI Research, Natural Language Processing, Generative AI, Software Development, Machine Learning

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace

At Willet Partners, we redefine the standard in executive search, professional recruitment and talent advisory, offering a warm yet professional touch to both organisations and job-seekers. Employing a key account management model, our dedicated account managers – who are also industry specialists – are well-equipped to dive into the intricacies of your business.

Connecting Talents, Creating Futures

What you will be doing?

• You will be connecting with talents to present career opportunities that could be transformative and life changing. Helping them to land a role that could potentially be once in a lifetime.
• You will be responsible for data mining of talents profiles from tools such as LinkedIn

Attributes

• Resiliency – As it involves regular deadlines, you will need to handle a healthy level of stress and demonstrate resilience in meeting timelines.
• Curiosity – You should have a genuine interest in the industry and in understanding what people do for a living. Even better if you have a passion for gaining knowledge.
• Process oriented – You should values organisation and consistency, ensuring that tasks are completed in a structured, repeatable, and often optimized manner.
• Details oriented – You will need to exercise thoroughness, careful review and analysis of work to avoid mistakes and to ensure completeness and consistency.

About your reporting manager

• You will be reporting to a manager with strong logical thinking who values mentoring and providing constructive feedback. Her communication style is straightforward and direct.
• She has been working and recruiting for technology related business for quite some time.

Background

• At least a Diploma. Fresh graduates are welcome.
• Engineering or product talents who does not want to stay in software engineering or product development are welcome to apply. We welcome anyone who wants to have a career change, do note that you will need to start from scratch and be willing to learn.

Only shortlisted candidates will be notify. We regret to inform that we are able to sponsor any work visa at this moment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;https://www.mingzhaogroup.com/)

Qualifications

• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
• Expertise in nanomaterials synthesis, electrocatalysis, and/or optical imaging
• Published in reputable international journals.
• Responsible and able to work independently.
• Good written and spoken communication.
• Good team player across multiple disciplines.
• < 5 years work experience after obtaining a PhD degree

Job title: AI Research Scientist

• Opportunity to be a part of a global Artificial Intelligence team!
• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years

What you will do

Responsibilities include, but are not limited to:

1. Perform research, assessments and technical evaluations of AI models, methods and frameworks to solve problems or derive benefit to company AI capabilities and generative AI program

2. Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery

3. Proactively scan and keep up to date with AI research

4. Support the creation of intellectual property

5. Develop and implement methodologies, benchmarks, toolkits for different AI approaches.

6. Collaborate with data science and AI community on joint projects and investigations

7. Work within an integrated manner with teams operating within agile frameworks

8. Assist in technical training and knowledge sharing

9. Senior members would have leadership of one or more AI domains and a small team of AI scientists and researchers, and be expected to play a role of active mentorship

Education Minimum Requirement:

• B.S. or M.S. in Artificial Intelligence, Machine Learning, Computer Science, or related field. PhD highly regarded but not necessary.

What you must have

To be successful in this role, you will have:

• Knowledge with model training and deployment
• Proficiency in GenAI, deep learning, NLP, CV and ML frameworks, other AI disciplines regarded useful
• Hands-on code development experience and familiarity with the python scientific computing stacks
• Understanding of artificial intelligence research landscape and ability to review research publications
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• Experience developing algorithms in Python or C/C++. Knowledge of transformer-based models a plus
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions highly regarded
• Bachelor's degree in a relevant technical field or equivalent practical experience. PhD in a related field or equivalent practical experience not essential but highly regarded

Required Skills:

Artificial Intelligence, AI Research, Natural Language Processing, Generative AI, Software Development, Machine Learning

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace

Job Summary:

This is the role that requires in-depth market research and strategic analysis, focusing on supporting corporate decision-making and driving success in a competitive market environment.

Job Responsibilities:

 Market and Industry Analysis:

• Conduct in-depth research on target markets and industries, analyzing market trends, customer needs, competitive landscape, and other relevant factors to support corporate strategic decision-making.
• Track and analyze macroeconomic indicators, policy changes, technological developments, and other external factors impacting the industry.
• Prepare market analysis reports and research briefs to provide management with actionable insights.



 Internal Company Analysis:

• Analyze internal operational data to identify key drivers of business performance and potential risks.
• Collaborate with various departments to understand their strategic needs and provide data support and strategic recommendations.
• Participate in the strategic planning process, providing data-driven insights and research findings.

 Strategy Development and Evaluation:

• Assist in the development and evaluation of the company’s long-term strategic plans, including market entry strategies, product development strategies, and partnership strategies.
• Monitor and evaluate the implementation of strategic initiatives, providing recommendations for adjustments to ensure the achievement of strategic objectives.
• Contribute to the formulation and optimization of business strategies to align with the overall corporate strategy.

 Innovation and Strategic Thinking:

• Introduce and apply advanced research tools and methodologies to enhance the depth and breadth of strategic research.
• Identify and explore new business opportunities, providing recommendations to drive company growth.
• Promote the application of innovative thinking in corporate strategy, encouraging continuous improvement and change.

Qualification

• Bachelor’s degree or higher in Business, Economics, Management, Finance, or a related field.
• 2-3 years of experience in strategy research, market research, management consulting, or a related field.
• Strong data analysis skills with proficiency in Excel, SPSS, SAS, Tableau, or other data analysis tools.
• Excellent communication and report-writing skills, with the ability to present complex analysis clearly and concisely.
• Strong logical thinking and problem-solving abilities, capable of developing effective strategies in a complex and dynamic environment.
• Self-motivated, with strong teamwork skills and the ability to collaborate effectively in cross-functional teams.
• Keen insight into industry trends, competitive dynamics, and market developments.

Key Skills:

• Strategic analysis and business acumen
• Data collection and analysis techniques
• Report writing and presentation skills
• Project management capabilities
• Innovative thinking and problem-solving skills
• High level of professionalism and responsibility.

The incumbent will provide data management and executive support to the overall research agenda of PPIS. He/She will be involve in data collection (qualitative and quantitative), mining, transformation, validating and analysis from multiple sources for the purposes of mapping areas of growth in research and evidence based practices, evaluation and data storytelling. He/She will need to be familiar in the areas of social and family services and be expected to be familiar in writing and presentation of reports and research papers.

Responsibilities:

• Identify, collect, process, analyse and interpret primary and secondary data for organisational sensemaking
• Identify and document appropriate tools and method for data collection.
• Identify and analyse appropriate data sources, tools and techniques for data interpretation,analysis and results
• Identify appropriate research approaches, surveys and FGDs as needed.
• Conduct landscape study and analysis in line with PPIS area of interests largely in the field of Family Services, women and children
• Develop and roll out research proposals that would enhance PPIS thought leadership and mission
• Evaluate and track impact of research projects and programmes
• Prepare and present research and evaluation report
• Drive innovation to improve quality of research project and programmes
• Provide administrative and program support for various initiatives, including but not limited to the Professional Development Series and Practice Circle. This includes coordinating logistics, managing communications, tracking participation, and assisting in the planning and execution of events and activities related to these programs

Requirements:

• Degree/Professional Qualifications in the discipline of Data Science/Business Analytics/Social Sciences or related field
• Minimum 2 years of relevant social research and evaluation experiences
• Possess strategic and analytical abilities
• Posesss good interpersonal skills to forge collaborative relationships across a wide spectrum of stakeholders
• Familiarity with analytics tools or programming languages are an advantage
• Able to communicate, write and present well

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The staff would lead at least one project under supervision of the Principle Investigator (PI) and the scope of the project is on biomass valorization. The responsibilities will be as follow:

• To develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• To execute the plan experimentally and interpret the data critically.
• To report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• To draft manuscripts and attend conferences to publicize the project findings.
• To support other team members and train junior colleagues. The staff will need to draft research proposal together with the PI.

Job Requirements

A well-qualified candidate should:

(1) be passionate about research;
(2) have a Phd degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
(3) be an expert of chemical conversion of natural and synthetic polymers;
(4) command both spoken and written English at professional level;
(5) be a good team player;
(6) excellent publication record in related areas.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Medicine at the National University of Singapore (NUS) is seeking candidates to apply for the role of Senior Research Fellow within its Cardiovascular-Metabolic Translational Research Programme.

The selected candidate will be offered a contract position for a duration of one to two years, with an opportunity for renewal based on performance and funding availability.

Purpose of the post

The Senior Research Fellow (SRF) will work closely with the Principal Investigator (Professor Shu Ye) to engage in research into molecular mechanisms of cardiovascular diseases, prepare impactful papers for publication in top-tier scientific journals; and obtain competitive funding for the research programme.

Main duties and responsibilities

The Senior Research Fellow will be able to:

1. conduct research in Cardiovascular-Metabolic Translational Research Programme (CVMD) under the supervision the Principal Investigator Professor Shu Ye to investigate the influences of genetic variants on cardiovascular diseases and the underlying mechanisms, using a variety of molecular biology, cell biology, and histological techniques and animal models;
2. develop and implement research projects, including study design, data collection, analysis, and interpretation;
3. publish research findings in high impact peer-reviewed journals and present at academic conferences and seminars;
4. contribute to the development of grant proposals to secure funding for research projects;
5. assist in the supervision and mentorship of honor and graduate students involved in research activities;
6. contribute to the dissemination of research findings to the broader community through outreach activities, including public lectures or community engagement initiatives;
7. participate in departmental meetings, research seminars, and other academic activities to contribute to the scholarly environment of CVMD.
8. To participate in general laboratory activities related to the research and carry out allocated duties for the laboratory.

Qualifications

The applicant should have:

1. a doctoral degree (Ph.D. or equivalent) in Biomedical Research or a related field from an accredited institution;
2. a strong background and expertise in/or biomedical health-related research, preferably in cardiovascular research;
3. a track record of scholarly productivity, including publications in reputable peer-reviewed journals;
4. experience in quantitative and qualitative research methodologies;
5. ability to work independently as well as collaboratively within a multidisciplinary team environment;
6. excellent written and verbal communication skills;
7. prior experience in grant writing (securing external funding is an advantage);
8. Experience in leading a research team of research students and research assistants.

More Information

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.