THE JOB:

• Conduct consumer and product research both qualitative and quantitative including developing protocols, monitoring field work, data analysis and interpretation of results
• Prepare reporting/presenting research findings, contributing to the decision-making process.
• Contribute to CS team goals by participating on teams where new methodologies and capability are evaluated, proposed, and implemented.
• Ensure two-way communication between yourself and other team members

The Requirements:

• Min Degree in food science /market or product research or related area with 5+ work experience in consumer and sensory research
• Knowledge of Discrimination, Descriptive Analysis & Digital tools and techniques
• Interest in food
• Data analysis
• Project management experience

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

CEI: R1104482

JANE LUI JIE'EN

(EA Licence No. 99C4599)

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 research scope for this position is in perception and navigation development for an Autonomous Underwater Vehicle operating in offshore environment. We will be developing advanced techniques for structural tracking and methods for perception generalisation across multiple types of offshore infrastructure. Perception and navigation strategies around complex jackets will be devised with a high level of scale as the focus for the techniques utilised. The techniques will start first with a mapping step (not necessarily used for localisation) followed by perception and navigation step. The development will be first deployed in the digital twin model of the Technology Centre for Offshore Marine Singapore (TCOMS) ocean basin before being tested in the open waters of Singapore.

• Research and implement perception and fusion algorithms utilising sensors such as camera, stereo camera and sonar.
• Explore cost map and mapping techniques to achieve a certain level of mapping of the environment in 3D space. Be able to extend this is to enable global localisation against this pre-existing a-prior map that is built from previous mapping run.
• Research and explore possible localisation algorithms fusing multiple navigation and sensor sources with SLAM for handling of edge cases in vehicle navigation.
• Implement optimal path planning strategies to achieve efficient inspection coverage according to CSWIP 3.3U/3.4U Underwater Inspection standards.
• Integration of robotics stack with the software architecture
• Test and debug of robotics algorithms in software in the loop simulation

Qualifications

• Bachelors in Computer Engineering/ Mechatronics/Mechanical Engineering (Robotics Equivalent)
• Experience with Robot Operating System framework
• Experience with perception and fusion algorithms and libraries including OpenCV, Pointcloud library, Tracking filters, Computer vision techniques
• Experience with AI, deep learning and machine learning algorithms such as YOLO and Faster RCNN
• Experience with SLAM for localisation methods
• Experience with path planning algorithms such as A*STAR
• Proficient in Python and C++
• Proficient in Linux

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health at the National University of Singapore (NUS):

Research Assistant (1 year)

We are recruiting a full-time Research Assistant to support the Principal Investigator, Associate Professor Natasha Howard, in the implementation and administration of research projects in the areas of health equity, infectious disease control, and global health.

Responsibilities:
The research assistant will focus on research and administration in infectious disease control policy and health system strengthening in the Asia region. This will include:
• Supporting qualitative and quantitative research, including contributing to design, implementation, analysis, and write-up of journal manuscripts and reports/policy outputs.
• Project management and administration for multiple research projects, including ethics review applications to NUS IRB and study country review boards, donor reporting, and liaison with relevant teams in NUS SPH and internationally.
• Assisting the PI in other day-to-day tasks as required.

Requirements:
• At least a Bachelor’s Degree in a relevant subject area.
• Excellent academic writing and communication skills in English.
• Experience of successfully managing multiple tasks concurrently.
• Strong qualitative and/or quantitative research skills and experience, including at least some experience with conducting or analysing semi-structured interviews, and capacity/interest to learn social science methodology.
• Highly organized and able to work effectively under pressure, use independent judgement, produce high-quality quality work, and problem solve within time constraints.
• Able to work independently as well as with a team.

Desirable:
• Degree or relevant experience using social science methodology.
• Experience with Atlas.ai/NVivo and R or similar, and capacity/interest to learn.
• Experience of research in global health and/or health policy and systems.

Only Singaporeans/SPRs/residents with existing right to work in the country may apply for this position.

Recruitment is open immediately and will continue until the position is filled. Applicants should send the following documents during the job application:
1. Cover letter highlighting career goals and relevant experience
2. Curriculum Vitae, containing details of three named referees

Qualifications

At least a Bachelor’s Degree in a relevant subject area.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description:

• To focus on bridging the knowledge gap of vector–pathogen-host interactions in mosquito-borne disease transmission. To understand the immune and pathogenic mechanisms during mosquito borne-virus infection to guide the development of targeted and effective control and treatment strategies
• Conduct laboratory experiments in vaccine/drug testing and perform data analysis for industry/research collaboration projects
• Work with patient cohorts and relevant models (both in vitro and in vivo) of infectious diseases
• Perform meticulous recordkeeping and able to draft delivery report to industrial partners
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, Biochemistry or related field
• 1 to 2 years of relevant experience or applicants with relevant academic experience are welcome to apply.
• Experience with cell culture models, mouse models, animal studies, cell biology, flow cytometry, serological and molecular techniques, handling with BSL-2 and BSL-3 pathogens will be an asset
• Experience with industry project management
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Highly motivated and able to work independently
• Team player with good interpersonal skills
• Good spoken and written communication skills

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

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

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 Research Fellow in the Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine. The Centre for Behavioural and Implementation Science Interventions (BISI) is a research and education centre that aims to improve the health and well-being of the population by accelerating evidence-based practice through the use of behavioural and implementation sciences.

Appointments will be made on one year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Fellow will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful execution of PI’s research agenda. The RF’s principal role will be to assist the PI in developing their research agenda, help develop publications and carry out work in general practices such as recruitment, data collection, data entry and analysis.

Main duties and responsibilities

The Research Fellow will liaise with the relevant personnel in the healthcare system and university to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RF will be able to:

1. Oversee the general management of the PI’s research agenda;
2. Undertake the day to day running of the PI’s research projects
3. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
5. Assist PI in developing conference presentations and publications on the ongoing research work.
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Doctoral degree or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experiences in the areas of behavioural sciences or behavioural economics

Remuneration will be commensurate with the candidate’s qualifications and experience.

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.

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 Smart Systems Institute @ NUS is seeking a motivated Research Engineer with expertise in robotics, human-robot/AI-interaction, and machine learning.

Key Responsibilities:

• Research and develop platform, modular components for human-robot interaction.

• Work closely with various teams (students, researchers, engineers) to build demos, practical applications on XR/AR smart glasses (Hololens, Meta Quest, XREAL)

• Integrate with opensource libraries, tech stack (robotics, AI, ML, computer vision) for human-robotics interaction and applications.

For more information on related works & projects, visit us at https://ssi.nus.edu.sg

Qualifications

• Minimum Bachelor / Master’s degree in Computer Science/Engineering/Robotics Engineering (or related area)

• Expertise in robotics and human-robot interaction.

• Experience with working on Linux, Python, integrating to APIs & libraries

• Expertise in AI, machine learning and applications to practical problems.

• Excellent communication skills (both verbal and written).

Senior Associate, Learning & Development

Position Overview

Science Centre Singapore is dedicated to the promotion of interest, learning and creativity in science & technology through imaginative and enjoyable experiences, and to contribute to the nation's development of its human resource.

We are looking for a dynamic candidate to join us as Senior Associate, Learning & Development

Essential Job Functions

He/she will be responsible for driving and operationalising training activities and developing a learning culture in Science Centre Singapore (SCS). He/She is responsible for the following:

1. Design & Development of Learning Interventions

- Develop face-to-face/online learning curriculum for staff training with the objective of achieving/maintaining selected SCS-specific skills.

- Embrace different types of training techniques, including e-learning, videos, tutorials and resource guides etc. Create training materials and ensure that quality standards are met. Create e-learning materials in a learning platform (learning management system) when needed.

- Continuously seek out and adapt latest and most appropriate instructional design and learning technology techniques, theories and methodologies to create unique and engaging content to meet the needs of our target audience.

2. Organisation Development

- Create and shape an organisation culture that values and enables our people. Familiar with various change management and transformation strategies and tools.

- Enhance employees’ engagement by organising activities, collaborate with different stakeholders to identify competencies and various learning activities for the Future of Work.

- Able to design and conduct interventions such as facilitating small group conversations, engaging senior leadership teams, and delivering large group engagement sessions

- Source and procure the services of external trainers/overseas trainers.

3. Learning & Development (General)

- Support the team in planning and organising various learning activities/events for staff (eg: talks, sharing sessions, briefings, workshops, festivals etc).

- Use of Gamification to enhance employees learning experience

- Source and procure the services of external trainers/overseas trainers.

4. Training Delivery

- Ability to conduct stand up training will be an advantage.

5. Special Projects

- Assist to implement any organisation-wide change management, culture shaping and HR Transformation.

- Drafting of Reports for application of HR-related Award for the organisation

6. Any other projects as assigned.

Requirements

The ideal candidate should have passion for building capabilities in others, be innovative and open to experimentation, and have excellent organisational skills with an eye for detail.

· Minimum 3 to 5 years of relevant experience in the area of Organisation Development and Learning & Development; including design of learning intervention and evaluation of training programmes.

· Must be familiar with digital learning tools and platforms.

· Must be prepared to be hands-on.

· Excellent written and verbal communication skills.

· Those with training qualification such as ACTA, ACLP, DACE and DDDLP will be an advantage.

Those with more years of experience of experience may be considered for the post of Assistant Manager/Manager, Learning & Development.

Only shortlisted candidates will be notified.

Leader is a high-tech environmental technology provider listed on SGX. As a Research Engineer specializing in control algorithms, you will play a crucial role in designing, building, and implementing optimal control algorithms based on machine learning models for wastewater treatment processes in a dynamic and fast-paced environment.

Fluency in Chinese is a requirement for this role, as you will be communicating with Chinese clients.

In this role, you will be involved with the end-to-end development and implementation of the optimal control algorithm based on the ML model for the wastewater treatment process. In addition, you will be expected to translate state-of-the-art control techniques into working products and deploy them at scale. Our technology team has developed innovative solutions in the wastewater treatment area and we are heading towards the next phase of innovative solutions.

Responsibilities:

1. Conduct high-quality studies on data-based/model-based process control for optimizing wastewater processes

2. Develop control algorithms based on model predictive control (MPC) using machine learning models

3. Develop multi-parameter systems for different optimal control scenarios

4. Deploy optimal control algorithms in real wastewater treatment plants

5. Adjust algorithms based on feedback from real-world applications

Requirements:

1. Master or PhD degree in an engineering-related field with a minimum of two years of relevant work experience

2. Strong programming skills in Python or other languages

3. Experience with control algorithms such as linear and nonlinear control, robust control, adaptive control, and model predictive control

4. Good knowledge of machine learning algorithms

5. Hands-on experience testing control algorithms with real hardware implementation

6. Strong problem-solving skills and ability to work independently

7. Excellent communication and teamwork skills

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About TnS-Live-Algo Team

Our algorithm team is responsible for developing state-of-the-art computer vision and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok Livestream is able to provide the best user experience and bring joy to everyone in the world.

Job Description

We are looking for a highly self-motivated research engineer to join our algo team in Singapore. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok Livestream, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow

Responsibilities

- Develop computer vision model or multimodality model to recognize violation content in TikTok Livestream

- Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)

- Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc

- Continuously optimize the training framework to better adapt to the training of large models

Qualifications

1. Major in computer science or a related technical discipline

2. At least 3 years of experience in at least one of the following areas: computer vision, multimodality, LLM

3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)

4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

5. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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 seek a highly-driven and motivated postdoctoral fellow (research fellow) with strong expertise in the preparation and characterization of organic, inorganic and organometallic compounds.

Among others, she or he will be responsible for the preparation and characterization of novel low-molecular weight metal complexes as suitable precursors for chemical vapour deposition (CVD) and atomic layer deposition (ALD) in a collaboration with Applied Materials.

In addition, she or he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications

Qualifications / Discipline: Ph.D. or equivalent degree in Organometallic and Coordination Chemistry from recognised University. Candidates who are due for conferment can apply.

Requirement: Have a proven, strong track record in experimental research.

Skill: Preparation characterization of organic, inorganic and organometallic compounds.

• Company: MNC Chemical Manufacturing Company
• Location: Jurong Island, Company Transport Provided at Designated Point
• Salary: Up to $3300 + Transport Allowances $200 (Entry Level Degree Holder)
• Headcount: Permanent Role with AWS and Variable Bonus

Responsibilities:

• Contribute to the research and development of polymer products for value-added applications.
• Coordinate and execute day-to-day activities for product design projects, ensuring timely completion to meet new product development targets.
• Collaborate with Chemists to conduct commissioning and method development for new equipment, as well as enhance existing testing methods.
• Take a lead role in maintaining the smooth operation of the R&D laboratory, including regular equipment maintenance, preparation and revision of operating procedures, and adherence to Health, Safety & Environment protocols.

• Bachelor's Degree in Chemical/Polymer/Material Engineering or Chemistry.
• Diploma in Chemical Process/Material Technology with substantial experience in the Polymer Industry will also be considered.
• Experience in polymer material processing and testing is an added advantage.
• Strong team player with initiative, excellent analytical thinking, and communication skills.
• Proficient in Microsoft Office.
• Physically fit as required to carry loads in laboratory environment

If you are passionate about contributing to ground-breaking research and development in the polymer industry, we invite you to forward your CV in MS Word format to [email protected].

Triton AI Pte Ltd

Reg No. R1983718

License no. 21C0661

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

Our team is developing an innovative phased array system for Earth observation missions. We are looking for a phased array antenna designer to join the team.

Job responsibilities include:
• Design phased array antennas using design software such as HFSS or CST.
• Measurement of the phased array antennas.
• Work with other designers on the integration of antenna arrays, microwave modules, and the signal processing modules into a system.
• Participate in the testing of the complete phased array system.
• Present the R&D results in conferences and journal publications.
• Reporting of the designs and measurement results.

Qualifications

• Possess a PhD in Electrical Engineering
• Proven experience through publications in the design and measurement of phased array antennas.
• Experience with design software such as HFSS or CST.
• Able to work independently and in a team.
• Open to fixed-term contract.

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 seek a highly driven and motivated senior postdoctoral fellow (Senior Research Fellow) with strong expertise in the preparation and characterization of organic, inorganic and organometallic compounds.

Among others, she or he will be responsible for the preparation and characterization of novel low-molecular weight metal complexes as suitable precursors for chemical vapour deposition (CVD) and atomic layer deposition (ALD) in a collaboration with Applied Materials.

In addition, she or he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications

Qualifications / Discipline: Ph.D. or equivalent degree in Organometallic and Coordination Chemistry from a recognised University

Requirements: Have a proven, strong track record in experimental research.

Skill: Preparation characterization of organic, inorganic and organometallic compounds.

As a University of Applied Learning, SIT works closely with industry in our research

pursuits. Our research staff will have the opportunity to be equipped with applied

research skill sets that are relevant to industry demands while working on research

projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to model potential compound and their spectra and to develop QSAR models and receptor binding models.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Lead and support high quality publications to disseminate the research outcomes.
• Modelling potential compounds and exploring their spectral analysis.
• Develop quantitative structure activity relationship (QSAR) models.
• Perform molecular docking.

Job Requirements

• Holding a Master/PhD degree in chemistry or related field, preferred in theoretical chemistry.
• Experience in molecular modeling and spectral simulation of molecules.
• Experience on computer drug design – quantitative structure activity relationship (QSAR), molecular docking.
• Good knowledge of statistical analysis.
• Good writing and communication skills

Key Competencies

• Show strong initiative and take ownership of work.
• Able to build and maintain strong working relationships with people within and external to the university.
• Good communication and interpersonal skills.
• Possess strong analytical and critical thinking skills.

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 candidate will conduct experimental research in the area of thin film growth and characterization, memory device fabrication and characterization.

The research efforts of current position will be focused on Spin torque ferroelectric resonance measurement, electric transport characterization, and device fabrication.

Qualifications

• Potential candidates should have a Ph.D. degree in physics and materials Science, with a background in electric transport, especially high frequency ferromagnetic resonance measurement.

• He/she should also have excellent communication skills, both oral and written, and able to co-supervise graduate students.

Key Highlights:

• Great Exposure to the government sector in tech industry
• Nearest MRT: Labrador Park
• Salary: Up to $3,450 per month
• Contract Duration: 11 months
• Working Hours: Monday – Friday (Office hours)

Key Responsibilities:

• Support organization's team with background research on personalities and countries of interest, areas of interest of international agreements, international platforms and international trends and developments in digital economy.
• Assist on coordinating engagements with internal and external stakeholders.
• Assist in coordinating, and note-taking where relevant, negotiation with other international stakeholders on the organization's events on mid-year which require whole-of-organization's efforts and a significant manpower contribution.
• Provide administrative support for the organization's team.

Key Requirement:

• Only Singaporean
• Degree in any field
• Experience/interest in research and project management function will be an advantage.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focusses on developing the technology and demonstrators for Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research fellow with proven knowledge and experience in researching, designing, and testing of microwave passive and active circuits and subsystems.

Note: a design portfolio showcasing RF designs must be attached to the resume.

Qualifications

• Possess a PhD degree in Electrical Engineering
• Several years of experience in the simulation and design of microwave circuits and subsystems.
• Experience in the design of LNA, PA, mixer, control circuitry and antennas.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

Overview

The Global Research Trainee Programme is an 18-month programme aimed at coaching outstanding graduates to become astute analysts/strategists in the Research Department.

Through rotations across the different business units within the department and in various offices around the globe, the successful candidate will undergo an immersive learning journey spanning varied segments of the dry bulk shipping and commodities markets. Under close guidance by our senior analysts, the successful candidate will face steep learning curves and challenging assignments, and will be trained and equipped to excel and contribute positively to the company’s success as a market research professional.

Upon completion of the program, the candidate will have gained a holistic view of the dry bulk market as well as a deep understanding of the intricate dynamics of the different vessel sizes and commodities. The candidate will then start his/her career with the Research Department as a Freight or Commodity Analyst.

Requirements:

• Must be pursuing a degree in Economics, Statistics, Finance, Mathematics, Business or related field, and be in your final year of study.
• Outstanding academic achievements.
• Previous internship experience in research roles in dry bulk shipping/commodities or other commercial settings will be an added advantage, but not a requirement.
• Strong Microsoft Excel skills will be an added advantage.
• Track record of leadership roles in extracurricular activities or organisations will be an added advantage.
• Proficient in English (writing and speaking).

Skill Requirements:

• Demonstrates strong problem solving, analytical and quantitative skills.
• Inquisitive and investigative nature, with the aptitude to grasp new concepts fast.
• Ability to connect the dots, especially in matters relating to economics, international trade, politics and the natural environment.
• Excellent communication skills, with the right level of confidence to communicate and propose ideas to senior Research colleagues or supervisors.
• Highly motivated team player with a positive attitude and mindset in working towards common goals.
• High level of initiative and independence.
• Comfortable working with large data sets.

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 the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS), and French-Singaporean international laboratory (Majulab), are looking for a talented postdoctoral or PhD candidate in experimental physics, for exploring the fundamental and technological quantum resources of systems that are constructed around a high-Kerr photonic resonators – i.e. a resonator in which the nonlinearity strength acts at the scale of one or a few photons. Two research axes are currently in development: (i) New physics and resources emerging in the quantum regime of photonic bistability, and (ii) new paradigm for the measurement of quantum scale forces (i.e. at the scale of single photons recoil) in hybrid Strong-Kerr optomechanical architectures.

More specifically, the goals are:

• Characterise the quantum properties of a strong-Kerr microresonator in the bistable regime using classical and quantum light: e.g.: demonstration of a Dynamical Casimir effect in the jump dynamics, demonstration of a giant single-shot ultra-fast amplification of single or few photons.
• Participate in the development of a new type of hybrid Strong-Kerr optomechanical architecture by optical characterization and feedback (Collaboration for the fabrication: C2N CNRS, Paris-Saclay). Demonstrate the polaritonic-enhancement and the Kerr-enhancement of the optomechanical interactions in the system using externally applied classical and quantum-prepared radiation pressure.

Job Requirements

The candidate should have a solid academic track-record, and in the case of a postdoc position, a previous experience in experimental physics on connected topics such as: Quantum optics, atomic vapours and/or condensates, optomechanics of nano-microsystems, optical spectroscopy of solid-state nano-micro-systems.

The appointee will join CQT under the supervision of Dr M. Richard (Majulab & CQT affiliated). The candidate will contribute in every aspect of the group operation, e.g. by co-supervising interns and PhD candidates. Salary will be competitive and will be commensurate with the candidates work experience.

Candidates who have a PhD degree and generally 3 or more years’ postdoctoral research experience will be considered for a senior role.

Applicants should submit a detailed CV. Positions will initially be offered for 15 months, with possible extension for at least one more year. The start date is flexible. If shortlisted, applicants should also arrange for two letters of reference to be sent directly to the supervisor.

• Company: MNC Chemical Manufacturing Company
• Location: Jurong Island, Company Transport Provided at Designated Point
• Salary: Up to $3300 + Transport Allowances $200 (Entry Level Degree Holder)
• Headcount: Permanent Role with AWS and Variable Bonus

Responsibilities:

• Contribute to the research and development of polymer products for value-added applications.
• Coordinate and execute day-to-day activities for product design projects, ensuring timely completion to meet new product development targets.
• Collaborate with Chemists to conduct commissioning and method development for new equipment, as well as enhance existing testing methods.
• Take a lead role in maintaining the smooth operation of the R&D laboratory, including regular equipment maintenance, preparation and revision of operating procedures, and adherence to Health, Safety & Environment protocols.

Requirements:

• Bachelor's Degree in Chemical/Polymer/Material Engineering or Chemistry.
• Diploma in Chemical Process/Material Technology with substantial experience in the Polymer Industry will also be considered.
• Experience in polymer material processing and testing is an added advantage.
• Strong team player with initiative, excellent analytical thinking, and communication skills.
• Proficient in Microsoft Office.
• Physically fit as required to carry loads in laboratory environment

If you are passionate about contributing to ground-breaking research and development in the polymer industry, we invite you to forward your CV in MS Word format to [email protected].

Triton AI Pte Ltd

Reg No. R1983718

License no. 21C0661

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 (NUS) Department of Civil and Environmental Engineering invites application for one (1) Research Fellow position in the area of intelligent transportation systems with emphasis on system development, deployment, integration, and delivery.

The candidate is expected to work on

(1) research projects related to smart lamp post development, deployment, integration, and delivery for related applications under the Cisco-NUS Accelerated Digital Economy Corporate Laboratory.

(2) Work with contractors and agencies for systems hardware and software development and field deployment and must be willing to go on field and discuss on progress with contractors appointed to work on the trials. In addition, the candidate should also possess good communication and team working skills and can present research findings in publications and professional meetings (including with agencies and the industry).

Job Requirements

• Possess a Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Strong written and oral communication skills.
• Has relevant expertise and work experience in traffic simulation software and programming with at least one language, e.g., Python, Java, or C++.
• Open to fixed term contract.

Job Description

• Provide scheduling and secretarial support to Director of the Clinical Research Unit
• Managing calendars of the Director, process claims and payments
• Assist with travel arrangements for work-related trips.
• Provide administrative support to the department such as purchases, maintain and track departmental assets and loan items.
• Coordinate departmental meetings and minutes writing, maintain proper filing system in the department
• Assist with archival of documents, manage mails and courier
• Provide grant administration support as necessary
• Assist with organizing research-related events such as Forums, Workshops.
• Provide secretariat support to various research initiatives
• Assist with generating reports and data as necessary for research projects and KPI tracking.
• Perform any other duties as assigned by supervisor

Requirement

• Diploma in science related Field

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

“ JOBSTUDIO WILL NOT SOLICT ANY MONEY , REQUEST TO USE YOUR BANK ACCOUNT FOR BUSINESS OR REQUEST YOU TO TRANSFER ANY MONIES TO ANY PARTIES , PLEASE BE AWARE OF SCAMS IMPERSONATING JOBSTUDIO AND OUR EMPLOYEES , YOU MAY CALL OUR OFFICE DIRECTLY AT 64221390 FOR VERIFICATION. WE WILL NOT BE LIABLE FOR LOSS ARISING FROM SCAMS.”

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Hoh Mei Ling

EA Personnel Reg No: R21103150

Our clients, major stake holder in the healthcare industry, are looking for Agency Part Time Nurses to join their dynamic team!

Responsibilities:

• Responsible to handle patients in basic treatments

• Educate patients on the disease progress

• Identify at-risk patients

• Perform some outcome management and tracking of data.

• Perform blood taking for subject of studies

• 3 - 4 days days a week (part time commitment)

Only Nurses with SNB license NEED APPLY

Interested candidates please send in your resume to:

[email protected]

Anna

Outsourcing Team

Recruit Express Pte Ltd, EA License No.: 99C4599

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 the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The job scope will be to participate to the development and design of a quantum processor using neutral atoms array. In particular, the candidate will participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

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 a Research Associate position in the Department of Synthetic Biology Translational Research Program, Yong Loo Lin School of Medicine. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Associate (RAssoc) will be working closely with the Principal Investigator and a team of researchers on bioprocessing and downstream process development. The RAssoc’s principal role will be to assist in method development and process optimization for research projects requiring bacterial and yeast fermentation as well as provide technical support and training to laboratory users.

Main Duties and Responsibilities

The Research Associate is expected to:

1. Design and execute fermentation experiments to optimize the production of target compounds/proteins.
2. Develop and scale-up bioprocesses for the cultivation of microbial strains (bacterial, conventional and non-conventional yeasts) from benchtop to pilot scale fermentation.
3. Conduct process optimization studies to improve fermentation performance, yield, and productivity.
4. Lead efforts in developing scalable downstream processes, including but not limited to filtration, chromatography, and other purification techniques.
5. Collaborate with cross-functional teams to ensure seamless integration of strain engineering to fermentation and downstream processes.

Main Duties and Responsibilities

1. Analyse data from fermentation and purification experiments, interpret results, and present findings to the team.
2. Troubleshoot and resolve any issues that arise during fermentation or purification processes.
3. Develop and maintain standard operating procedures (SOPs) and ensure adherence to good manufacturing practices (GMP) and safety guidelines.
4. Stay updated with the latest advancements in bioprocessing and downstream purification technologies and apply them to enhance processes and productivity.
5. Provide technical expertise and support to team members and contribute to the overall success of the group’s translational projects.

Qualifications

The applicant should:

• Masters in Chemical/Biochemical Engineering, Biotechnology, or a related field.
• Proven track record of successfully optimizing and scaling-up fermentation processes for the production of compounds/proteins.
• Expertise in downstream purification techniques, such as filtration, chromatography, and other purification techniques.
• Hands-on experience with various bioreactors, fermenters, and other bioprocessing equipment.
• Strong understanding of safety protocols in bioprocessing.

Qualifications

• Proficiency in data analysis, statistical tools (JMP), and design of experiments (DoE) for process optimization is an advantage.
• Preferably have experience with process simulation and modelling.
• Be able to work both independently and in teams.
• Demonstrates an investigative nature and is attentive to details.
• Demonstrates an ability to lead and mentor junior team members.
• Passion for innovation and staying updated with the latest trends in bioprocessing.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at [email protected]

Application

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 3 referees) by 29 February 2024