We are excited about this new opportunity for experienced professionals with expertise in Healthcare, Pharmaceutical, Diagnostics (laboratories & hospitals), R&D Customers, Academia, F&B and industrial market verticals industries; specializing in achieving capital equipment (CAPEX)/ Engineering/ integration-related solutions sales.

RESPONSIBILITIES

• Present, promote and sell products/ services to existing and prospective customers in the cleanroom, biotechnology, pharmaceutical production, diagnostics (laboratories & hospitals) R&D, Academia, F&B industries
• Develop and implement strategic sales plans for products and solutions offered and agencies assigned
• Develop strong technical know-how on products and applications to support and effectively engage prospects and clients
• Responsible for Marketing campaigns such as trade-in / service excellence promotions / seminars / workshops
• Managing direct customers sales & distributors
• Generate leads and develop a solid customer relationship with key decision makers, fostering and enhancing good relationship with all of our customers
• Develop a customer or project specific sales strategy and manage deals to conclusion
• Lead solution development efforts that best address end user needs, while coordinating the involvement of all necessary stakeholders
• Engage with potential customers to understand their needs; identifies and suggests equipment, products, services or solutions that will meet those needs.
• Analyse the territory and market’s potential, track sales and status reports

REQUIREMENTS

Incumbent should ideally be from a Product Manager background, experienced in sales related to cleanroom/industrial/pharmaceutical/diagnostics industries. Sales experience is in relations to capital equipment (CAPEX)/ Engineering/integration-related solutions.

• Minimum diploma in Engineering, Biotechnology or related disciplines
• Minimum 3 years of experience with strong sales track records with focus on Healthcare/ Pharmaceutical/ Diagnostics (laboratories & hospitals/ R&D Customers/ Academia / F&B/ industrial market verticals
• Experienced in tender and request for quotation (RFQ) preparation and costing
• Present status of sales efforts at periodic Sales meetings
• Excellent presentation skills
• Good analytical and problem-solving skills
• Target driven and able to work independently

POSITION SUMMARY

Sandbox Studio is a business division under ITS Science & Medical. At Sandbox Studio, we have a simple but ambitious mission: to develop market-leading specialized space design solutions which delight our clients and enrich their workflow. We are a dynamic and talented team working on exciting and sustainable projects, both locally and in the region. This role will be an addition to our exciting team as we look to put together the best possible combination of talents to take on the opportunities ahead of us.

RESPONSIBILITIES

1. BIM Modelling for Architectural Scopes

2. BIM coordination between multi discipline/trades may be required

3. Prepare drawings / BIM Files accordingly to markups and specifications

4. Translate and convert / combine files from difference sources / vendors

5. Review drawings for completeness and accuracy

6. Ensure compliance of quality standards in CAD drawings

7. Visit site for on-site measurement to prepare CSD

REQUIREMENTS

1. 2 Years experience in relevant industry

2. Minimum Diploma and above

3. Knowledge and experience in Revit, AutoCAD, Navisworks

4. Ability to work under tight schedules to meet submission deadlines

5. Good communication, writing & interpersonal skills

6. Team player with a great can-do attitude

7. Having a positive attitude and proactive mindset.

BENEFITS

1. Five-day work week

2. Energetic & dynamic Team

The Scientific Sales Support and Executive Assistant to the General Manager plays a dual role mainly in facilitating sales operations while providing some essential administrative support to the General Manager. This position involves mainly in coordinating sales activities with some schedule management activities and ensuring efficient communication amongst teams.

Key Responsibilities:

• Sales Support:Provide administrative assistance to the Sales Division, including sales order processing, generating reports, and preparing quotations.
  Compile and manage tender documents for submission.
  Coordinate and assist in sales and marketing activities, ensuring alignment with overall business goals.
  
• Reporting and Analysis:Generate and analyze sales reports, presentations, and performance metrics to support decision-making.
  Conduct research and compile data for strategic initiatives.
  
• Relationship Management:Build and maintain strong relationships with existing and potential customers, ensuring high levels of service and satisfaction.
  Build and maintain strong relationships with existing and potential suppliers.
  
• Administrative Support:Assist the General Manager with daily administrative tasks, including calendar management and meeting coordination.
  Prepare and organize meeting agendas, minutes, and follow-up actions.
  
• Communication and Liaison:Serve as a point of contact between the General Manager, Sales Division, and other departments.
  Collaborate with Operations and Finance on internal workflows and processes.
  

Qualifications:

Education and Experience:

• A university degree or equivalent in a Science-related field.
• At least 3 years of relevant sales support experience.
  

Skills:

• Strong organizational and multitasking abilities.
• Able to work independently and under pressure.
• Creative thinking, problem solver and resourceful.
• Excellent written and verbal communication skills.
• Proficient in Microsoft Office Suite.
  

Attributes:

• Detail-oriented with a proactive approach to problem-solving.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong interpersonal skills and a professional demeanor.

Candidates with limited or no Executive Assistant experience will also be considered.

RESPONSIBILITIES

• Management of fast-paced and/or complex projects undertaken by ITS Science & Medical in Singapore or regional areas.
• Responsible for project management of infrastructure services supplied/offered by the Company that include, but not limited to hospital infrastructure, animal facilities, laboratory furniture, industrial, schools and other systems.
• Manage ACMV, HVAC system laboratory projects to completion in both Singapore and/or international standard, adhering to quality assurance policies and meeting performance standards
• Liaise with all stakeholders including facility management, architects, M&E consultants on engineering design and user specification, ensuring compliance
• Part-take in project tendering meetings and provide technical advice to tender team
• Prepare and manage project schedule and monitor project activities by project team to ensure compliance to activity execution timeline
• Provide technical support to Support sales team from time to time.
• Ensure Workplace Safety and Health is implemented at site.

REQUIREMENTS

• Diploma/Bachelor’s Degree in Mechanical Engineering or related Engineering disciplines.
• Experience in ACMV is preferred.
• Preferably with 3-5 years of relevant work experience handling construction projects (designing & management)
• Valid Class 3 driving license and personal vehicle will be an added advantage.
• Team player with a great can-do attitude.
• Outgoing personality.

BENEFITS

• Attractive remuneration package
• Career development opportunities

RESPONSIBILITIES

• Provide administrative and marketing support to the Sales & Marketing Divisions
• Prepare quotations, follow up on sales orders and tender preparations
• Generate reports and maintenance of database
• Help to build and maintain good relationship with customers

REQUIREMENTS

• Diploma/Degree holders, preferably with the background of medical, scientific or equivalent
• Prior experience in the medical/scientific equipment, devices and consumables industry would be an added advantage
• Entry level candidates are welcome to apply
• Good communication skills
• Proficient in Microsoft Office
• Meticulous and organized
• Good attitude and willingness to learn
• Knowledge of SAP/SAGE will be an additional advantage
• Good team player

RESPONSIBILITIES

• Provide comprehensive range of technical after-sales service support, installation, commissioning and repair plus preventive maintenance plans for scientific and/or biopharmaceutical equipment;
• Provide technical consultation to customers; with a focus on the refrigeration system;
• Respond to customers’ requests by troubleshooting problems and taking corrective actions within targeted timeline;
• Prepare service reports.

REQUIREMENTS

• ITE/Higher NITEC/Diploma/Degree in Electronics, Electrical, Mechanical Engineering or equivalent
• Minimum 3 years of relevant technical work experience in service/ maintenance;
• Ideally process experience in similar industry (scientific/biopharmaceutical);
• Understanding of refrigeration system as focus;
• Excellent communication and interpersonal skills;
• Able to work independently and a team player;
• Self-motivated, results-oriented individual with good business acumen;
• Valid Class 3 driving license and personal vehicle will be an added advantage

BENEFITS

• Attractive remuneration package
• Career development opportunities
• Excellent technical exposure in the scientific/biopharmaceutical industry
• Fixed Monthly Transport Allowance

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Want To Be A PSLE Specialist Rockstar?

We’re looking for a PSLE English, Math and Science Specialist (Permanent Part-Timer) to be well paid based on your value and contributions, rather than your certifications.

An Intro To Our Company

ISUN was established in 2007 with the goal of igniting the sun in every student. Our founders, WaiSun and Lisu, wanted to bring brightness and positivity into the classroom to help their ISUN warriors unleash their full potential without compromising on time to unwind, and spend time with loved ones.

With a student-first approach, we want to put an end to the days of pupils dreading class and taking home mountains of worksheets. Our mission of ‘putting the smile back into learning’ is what inspired our founders to start the ‘Academic Coaching Programme’.

Through this programme, our dedicated coaches equip students with answering techniques and secret scoring sheets (S3) to approach examinations more effectively.

Similarly, our PSLE Power Revision Programme coaches students on methods to tackle PSLE papers and achieve academic excellence through impactful and memorable experiences. Since its inception in 2008, this programme has been raved about by parents and has prepared our students to approach their examinations with confidence.

Through imparting the joy of learning to our students, ISUN has enabled thousands of students to master their subjects with a renewed interest and rekindle a love for learning. Our coaches are driven to go the extra mile for our students; motivating them to strive for excellence and continue to push the boundaries of their learning. ISUN ensures that your child is prepared – not just for exams, but also for the future.

To date, we have more than 90% happy students and parents who attain transformation or AL3 & above or changing their entire life. Even during the challenging COVID period with lessons going online, we’ve kept 100% of our students onboard.

And we’re looking for our next high performer to join us.

You can see what a small fraction of our ISUN parents and students say about us:

https://www.facebook.com/media/set/?set=a.643722659069523&type=3

HOW LIFE IS GONNA LOOK LIKE FOR YOU

Although you'll be only working with us on a part time basis, you are invited and will be connected to the ISUN team in our social events such as company lunch and celebrations (CNY dinner, coaches day dinner, post PSLE celebrations, Christmas parties & more!) .

You’ll learn and connect with our Academic Coaches who have a proven track record with at least 10 years of teaching experiences. If you become that great in what you do, you can have growth in your students referral which means growth in your income!

You’re not going to be a follower in our team, we will constantly contribute and execute ideas that make learning faster, easier and fun for the greatest change in results for the ISUN students.

You can expect yourself to go further into coaching rather than just being an academic specialist in years to come if you are truly passionate in making a change in this industry.

A huge question that’s always asked is “what are the working hours?”. It’s just your teaching slots and 2-3 hours for preparation before classes. At the start, you have to commit your time for the training so that you can transform students easily with a snap of a finger!

So if you want to join a team that doesn't treat you like "just-another-staff", instead, if you want to be treated like a precious member of a small team - you'd be a good fit for us.

WHY YOU SHOULD JOIN US

The work we do here at ISUN Education is much bigger and beyond us.

We support the growth process of many students beyond just academics.

While tons of businesses focus on profits, we focus on making a huge impact that doesn’t just help us profit.

That means by truly having the purpose to help the students to transform their academic results and their lives.

Essentially, the work that you do has a large ripple effect.

If you want to join an education center that serves beyond themselves - you'd be a good fit with us.

HOW TO KNOW YOU’RE THE RIGHT FIT

✅ Someone who is warm, bright and positive.

✅ Someone who will propose ideas, not follow instructions blindly, and has no initiative to do things better.

✅ Relentless hunger to do whatever it takes and learn. You don’t just want to be good, you want to be great.

✅ Minimum an undergraduate. A degree is not needed, you’re paid based on attitude, skills, and results.

✅ Lead by example. You do not make any excuses. Be responsible and give your 101% in each class!

✅ Currently a tutor (be it home tutor or a tutor at a center)

✅ Be open to feedback to learn and grow

MUST HAVE REQUIREMENTS

3 EXTREMELY IMPORTANT THINGS:

1.Must be passionate to teach and produce quality answer keys and engaging content.

2.Must be performance driven. You may or may not be the very best now, but you know you want to be the best in this education industry!

3.Must have a purpose in education. You want to transform lives through the academics platform.

I’M IN! HOW DO I BEGIN?

If you’ve reached this far and you’re still passionate about becoming our new team member and be the future PSLE Superstar…

TAKE THIS SIMPLE TEST BEFORE YOU APPLY

Before you apply, take this simple 4 step test to find if this role is suitable for you or not.

1) Check out the work we do on our Social Media Profiles

https://www.facebook.com

https://www.youtube.com/@isuneducation

If you don’t believe or don’t have the heart to transform students' lives - don’t apply.

2) Ask yourself, “Do I see myself exploring and working with this team for at least the next 2-3 years and become a PSLE superstar?” If the answer is no, don’t apply.

3) Ask yourself, “Do I believe I’m great at what I do and do it much better than most people?” If the answer is no, don’t apply.

4) Ask yourself, “Do I see myself giving it all to the students; and sometimes extra hours not because I have to, but because I've lost track of time?” If the answer is no, don’t apply.

IF YOU DECIDE THAT YOU’VE PASSED THE 4 STEP TEST ABOVE

Send your resume to [email protected]

Lisu

ISUN Education

Giving an education that inspires the Greatness in everyone

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Associate to build the IoT hardware platform and design new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Design and develop hardware systems for IoT.
• Participate academic activities
• Assist in on-site experiments and data acquisition in application environment.
• Develop algorithms for spectrum optimization, blockchain and edge computing.
• Publish high-level academic papers
• Collaborate with other team members to build satellite IoT testing systems and draft research report.

Job Requirements

• Master or PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

Research and development (R&D) managers qualifications, including:

• Education: A bachelor's or master's degree in a relevant field, science or technology
• Experience: two years of experience in R&D roles
• Communication: The ability to communicate with various departments across the business
• Leadership: The ability to lead a staff
• Technical expertise: The ability to document and interpret complex requirements
• Innovation: The ability to develop new products, improve existing processes
• Business sense: An understanding of both business and science

R&D managers are responsible for planning and executing strategies to foster new ideas and advancements. A compelling CV for this role should demonstrate a balance of creativity, strategic thinking, and leadership skills

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are looking for experienced individuals with a strong background in computational modelling, thermal energy systems, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced computational techniques and thermal energy storage solutions, focusing on discovering novel materials and optimizing energy systems through machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

Key Responsibilities:

• Work closely with colleagues to ensure the requirements of the research project are met
• Conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development
• Use artificial intelligence (AI) techniques for material discovery and/or device design
• Use 3D printing techniques to fabricate phase change materials (PCM) composites
• Assist in experimental works or other required works by the PI
• Use data science techniques to process experimental results
• Write scientific papers/technology/reports and other work-related documents
• Develop machine learning algorithms for material discovery and novel heat exchanger design to seamlessly integrate PCMs into thermal systems.
• Fabricate PCM composites with optimized geometries through 3D printing technologies.

Job Requirements:

• Master's degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret that only shortlisted candidates will be notified.

NTi Technology is a subsidiary of NTi Memtech Pte Ltd. We are a technology company specializing in membrane material research and development, membrane product manufacturing, membrane technology applications and services. NTi has its own fully equipped membrane R&D center and manufacturing base in Singapore to produce high-performance hollow fiber membranes.

Currently, we are looking for engineering, science, business and manufacturing interns with interests in membrane marketing, research, product development, and production.

We Offer:

• Hands-on experience in a full-scale membrane manufacturing facility, from research to production to delivery.
• Mentorship and training from experienced professionals in the field.
• Exposure to industry-standard practices and technologies.
• A supportive and collaborative work environment.

1. Membrane Research Intern:

Responsibilities and duties:

• Support and assist in QC inspections for daily membrane production (lab works).
• Maintain quality-related documentations (soft & hard copy) including SOPs, check lists, reports, etc.
• Support and assist in the testing for new membrane products.
• Assist in the Maintenance and calibration of lab equipment.
• Other related duties assigned.

Requirements:

• Familiar with handling chemicals.
• Strong hands-on capability and independent in performing experiments such as i) general chemical experiments; ii) how to use basic lab equipment like weighing balance, pH meter, pipette and etc; iii) laboratory safety practice. For any other equipment like FTIR, UV-Vis and TOC , they will be trained before they can operate.
• Good understanding of safe lab practice.
• Good written and spoken communication skills. Ability to communicate with equipment and material suppliers/ manufacturers based in China would be advantageous.
• Good team player, self-driven and meticulous.
• Year 3/ Year 4 students are preferred.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Fellow to be involved in research and development for the IoT hardware platform and new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Participate in academic activities and system design
• Prepare report and publish high-level academic papers
• Collaborate with other team members to be involved in satellite IoT testing

Job Requirements

• PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

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

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

We are seeking a highly motivated and innovative postdoctoral researcher to join our dynamic team at the School of Materials Science and Engineering, Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of 3D printing, optics, sensor, with a focus on materials for optical waveguides and other optical devices.

Key Responsibilities:

• Conduct independent research related to optical waveguide materials and engineering.
• Optimize formulations for UV 3D printing and direct ink writing 3D printing.
• Contribute to ongoing research projects in optics and photonics.
• Design and prototype using CAD software and 3D printing technologies.
• Collaborate with faculty and researchers on interdisciplinary projects.
• Publish research findings in peer-reviewed journals and present at international conferences.
• Assist in mentoring graduate and undergraduate students.

Job Requirements:

• Ph.D. in Material Science, Chemistry, Sensors, or a related field.
• Strong background in formulation for 3D printing.
• Experience with optimization of ink formulation for 3D printing.
• Demonstrated expertise in optics research.
• Proficiency in CAD software and 3D printing technologies.

Desired Skills:

• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with machine learning and AI applications in engineering.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a team.

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

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

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

We are looking for a Research Fellow to drive innovation in soft and stretchable electronic systems by addressing critical challenges in interconnect design, enabling their extensive deployment in advanced applications. The role involves leveraging expertise in flexible electronics, modular soft robotics, and artificial neuron systems to develop intelligent, adaptive technologies that integrate sensing, data processing, and actuation capabilities. The aim is to contribute to the creation of robust, scalable solutions that advance the field of soft interconnects and intelligent devices.

Key Responsibilities:

• Conduct research collaboratively with team members to ensure the timely completion of project deliverables.
• Design, develop, and fabricate soft interconnects for stretchable electronic devices, enabling their integration into functional systems such as wearable and robotic platforms.
• Collaborate with internal and external stakeholders to advance the deployment of next-generation flexible and stretchable electronic systems.
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences.
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD degree in mechanical engineering, mechatronics engineering, or related field.
• At least 4 years of relevant experiences in soft robotics
• Expertise in soft robots, actuators, mechanical sensors, strain sensors, flexible electronics.
• Proficiency in mechanical testing, electrical testing, materials characterization, system integration
• Good written and oral communication skills
• Capable of design and assemble of device prototypes.
• Candidates with publications in top-tier scientific journals are preferred.

We regret to inform 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

This position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• Open to fixed-term contract.

Research Assistant/Associate, Analytical Chemistry

We are currently recruiting a highly motivated Research Assistant/Associate in the team of Nanyang Assistant Professor Guan Xue Li. Our group is interested in understanding the roles of microbial lipids in human health and antimicrobial resistance. It is increasingly appreciated that microbial lipids play critical functions in modulation of human metabolic and immune health, as well as infection outcome and treatment responses. We employ an integrated systems biology approach, including development and application of lipidomics, to study the complex repertoire of bacterial lipids and aim to identify lipid metabolic networks which can be modulated for treatment of infections.

The successful candidate will have the opportunity to work with a multidisciplinary team of investigators in LKCMedicine, clinical and industry partners, as well as the wider lipidomics community, including the microbial lipids interest group. This position will expose the candidate to state-of-the-art technologies for lipidomics/ metabolomics, other leading edge research facilities in LKCMedicine and NTU and access to clinical samples, including bacterial isolates from human patients.

Key Responsibilities:

• Optimize bioanalytical workflows for lipid analysis of microbial and mammalian samples from laboratory and clinical sources
• Perform sample preparation and LC-MS/MS analysis
• Assist in maintenance and troubleshooting of HPLCs and mass spectrometers
• Routine operation of LC-MS/MS
• Assist in processing and quality control of lipidomics data
• Support research projects
• Prepare project updates
• Participation in evaluation measures and quality assurance
• Research administration and fulfilment of institutional requirements

Key Competencies and Requirements:

• Bachelor’s or Master’s degree in Biomedical Sciences, Life Sciences, Bioengineering, Analytical Chemistry related disciplines
• 1-2 years of working experience in bioanalysis using LC-MS, but recent graduates with the right aptitude will be considered
• Hands-on experience with operation and troubleshooting of high performance liquid chromatography mass spectrometer(s) preferred
• Problem-solving and critical thinking skills
• Highly self-motivated and demonstrate independence with minimal supervision
• Possesses excellent organizational and communication skills, fluent in spoken and written English
• Able to supervise students, and work as a team
• Able to work collaboratively, and to handle several concurrent fast-paced projects

If you are interested to pursue a career with the School, please write to Assistant Professor Guan Xue Li (mailto:[email protected]) with a cover letter, CV, list of publications, and names and contacts of at least two references at your earliest convenience.

Only full application will be considered, and shortlisted candidates will be notified.

As a clinical research coordinator, you will be actively involved in coordinating clinical trial activities according to the study protocol and in compliance to the ICH Good Clinical Practice guidelines and the Health Products (Therapeutic Products) Regulations under the Health Product Act.

You will support and assist the Principal Investigator in the following trial related activities:

• Patient screening and recruitment,
• Monitoring subject’s compliance to their treatment and follow-up,
• Data collection and management including resolving data discrepancies,
• Coordinating the collection of biological specimens,
• Monitoring of adverse events and safety reporting,
• Maintaining and organising of investigator site files, preparation and submissions to the ethics committee and relevant local health authorities,
• Tracking of trial expenditures and timely invoicing.

Requirements:

• Degree in Life Sciences/Nursing
• OR Diploma in Nursing with minimum 6 years working experience as CRC
• 2 years of related working experience will be advantageous
• Excellent time-management and communication skills
• Able to work independently and as a team
• Detail-oriented and self-motivated
• Good grasp of MS Office applications

Looking for a career that's both fulfilling and challenging?

At Achievers Dream Learning Centre, we're on a mission to help students achieve their dreams, and we're looking for dedicated and self-driven individuals to join our team. With our unique teaching methodology and dedicated teachers, we've touched the lives of over 3,241 students from 96+ schools and supported them in achieving stellar results in Chemistry.

And we're not stopping there!

As a Chemistry Specialist with us, you'll receive comprehensive training and opportunities to learn about the inner workings of running an education business. So join our WOW team at Achievers Dream Learning Centre! We're a dynamic group of professionals committed to delivering quality education and helping students thrive in whatever they seek to achieve in life.

A Chemistry Specialist Trainee / Teacher can look forward to the following initiatives:

• With Achievers Dream, you'll receive comprehensive training to learn the secrets of effective teaching techniques that will make your lessons engaging and loved by your students. As you progress, you can earn a promotion to Chemistry Specialist within just two years and achieve variable performance bonuses based on your potential and performance.
• But that's not all - as a Chemistry Specialist, you'll have a clear career path to Senior Chemistry Specialist. At this level, you can enjoy a competitive compensation package and most importantly, a proper work-life balance.
• If you're an existing MOE Chemistry Teacher looking to switch careers, you can benefit from an accelerated career track, starting from a Chemistry Specialist role, and quickly progressing to a Senior Chemistry role based on your proven value.
• And for those capable of more, Achievers Dream offers a clear career progression to Master Chemistry Specialist, Principal Chemistry Specialist, and beyond, purely based on your merits.
• Join Achievers Dream today and embark on an exciting and rewarding career in Chemistry, where your skills and passion can truly make a difference!

And if you love lab experiments, you will enjoy it in AD as we have a license by the National Environment Agency (NEA) to conduct the widest range of experiments in Singapore!

• Be positioned as One of the Top Chemistry Specialists in Singapore. You can be positioned as a top Chemistry Specialist in Singapore where you are recognized by many students and industry leaders as private education is a niche where students can leave you if they dislike you! And even get your chance to author assessment books and jumpstart your teaching career to the next level!
• Master Achievers Dream’s unique, proprietary “Customized Accelerated Foundation” method of helping students learn Chemistry faster and easier by focusing on building the RIGHT foundations.
• Plus many other awesome training, developmental projects and opportunities!

Responsibilities:

• Assist in the development and teaching of the Primary Science / GCE 'O' / 'N' Level Chemistry / GCE 'A-Level Chemistry / IP or IB (Chemistry) aligned to MOE syllabus using Achievers Dream's ‘Customized Accelerated Foundation’ Teaching Methodology
• Attend ongoing peer-sharing and training sessions for professional growth and development to keep abreast with the latest educational trends and pedagogies related to language teaching
• Collaborate with other team members to implement projects

Pls read the requirements carefully:

• 100% commitment to AD Training Programme: This will be a full-time training opportunity. If you were selected for this position, you cannot be holding another full-time/part-time job or running your own business on the side (…even tuition assignments are not allowed).
• Grow Together with Company for the Next 3-5 years: You are clear that you love to teach but you do not want the admin work and office politics. We are looking for associates who can commit for at least 3 to 5 years.
• Passionate about Chemistry teaching
• Sincere in supporting students wholeheartedly to achieve their fullest potential
• Willingness to be coached in Achievers Dream’s proprietary teaching methodology
• NIE-Trained OR at least a Chemistry Degree or Diploma from a recognised education institute
• Minimum Grade: O-Level Chemistry (A1 / A2) or A-Level Chemistry (B)
• At least 1 year of relevant teaching experience (in tuition centres and/or MOE schools) will be an added advantage
• Entry-level candidates from Polytechnics and Universities are also welcome to apply (Specialised training will be provided)

Why Join Us?

At Achievers Dream, we believe in sharing our success with our Team Members and building our success upon their individual success. As we grow, so do our Team Members. In addition to the challenging, exciting and most importantly, fulfilling work, we offer an outstanding career progression pathway and encourage a healthy work-life balance. Most importantly, we favour ability and attitude over experience and degrees.

If you are ready for a life-transforming career (not just a job) and meet the requirements above, here’s what you need to do next:

• Read the entire website linked to this post (to learn more about our team culture) www.achieversdream.com.sg/career
• Submit your application
• Send in your resume
• Wait for us to contact you for a phone interview and, eventually, a face-to-face interview

We regret that only shortlisted candidates will be contacted.

Let's make a difference together

To plan, evaluate, prepare resources & conduct classes, customise and apply pedagogy to meet the different learning needs of students.

A good Diploma or Degree in the relevant discipline with relevant teaching qualifications. Have excellent Communication, Interpersonal & Classroom Management Skills.