Total 16,610 Science / R&D / Research job vacancies

Job Description

• Attend to walk-in and online customer enquiries on whatsapp, facebook, instagram; manage appointments
• Perform and promote a range of beauty treatments for customers including eyebrow/lip/eyeliner embroidery, eyelash extension, body hair removal, facial and acne treatments etc.
• Build good customer relationship and deliver exceptional customer service
• Maintain workplace sanitation

Requirements

• Customer-centric attitude, proactive, and willing to learn
• At least 1 year of related experience with facial, and eyebrow embroidery or eyelash extensions.
• Relevant certifications

What we can promise you

• Good work-life balance
• Training to broaden skill set
• Weekdays: 11am - 8pm (last appointment 6.30pm)
• Weekends & PH: 11am - 6pm (last appointment 4.30pm)
• 6 days off per month + major public holidays
• 10 days annual leave + 14 days sick leave
• Friendly work environment
• Commission + Monthly Bonus + Year-End Bonus (13th Month + Performance)
• Taxi allowance for overtime

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects.

(“Research fellow” is similar to “post-doctoral researcher”, in the terminology of some other countries.) The appointee is expected to work closely with Associate Prof. YU Haifeng (http://www.comp.nus.edu.sg/~yuhf) on issues related to distributed systems security and distributed computing. A key goal of the research will be to produce high-impact academic publications in premier conferences (such as CCS and SP) and journals in the area. Please see http://www.comp.nus.edu.sg/~yuhf for some example prior publications from Associate Prof. YU Haifeng’s research group.

Qualifications

- At least a PhD degree from a good university

- Good publication record

- Fluent in written and spoken English

- Ability and dedication to do world-class research

We are looking for a candidate for high-speed analog and mixed-signal integrated circuit design. This candidate will contribute to the development of high-speed silicon photonics transceiver for next generation wireline communication system. This requires the candidate to work closely with the optics team on the electro/optical co-design as well as system integration and validation.

• Perform system level analysis and design, to derive circuit-level design specifications.
• Design and tapeout ICs which include state-of-the-art circuit blocks e.g. analog-to-digital converter, equalizers (CTLE, DFE) as part of the high-speed data link system.
• Work together with team to investigate novel circuit/system solutions to create new inventions

Job Requirements

• Qualification & Field of Study: Minimum Bachelor’s degree and above in Electrical Engineering
• Min. Years of Experience: Minimum 2-years of transistor level analog circuit design experience

Other Requirements (e.g. Skills, Competencies)

• Good understanding of CMOS analog and mixed-signal IC design methodologies and successful tapeout experience
• Familiar with analog and mixed-signal IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Good communication skills (both written and spoken)
• Able to generate high quality scientific publications and patents
• Team player, quick learner and self-driven

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 (will) will work closely with the Principal Investigator (PI) on reinforcement learning control and learning-based control, which leverage the advantages of both deep learning and conventional controls with theoretical guarantees. The RE will develop AI-assisted planning and control algorithms that enable intelligent and robust autonomous operations and multi-agent collaborations. 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 research project involves (1) theoretical research in control, learning, and optimization, (2) developing new control and learning algorithms, and (3) 3D Simulations and real hardware experiments.

The candidates should have a Bachelor’s or Master’s degree from a reputable university, with expertise in control theory, reinforcement learning theory, 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, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) will be a big plus.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, autonomous driving, and/or UAVs.
• 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 algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, 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.

Responsibilities:

• Model training for LLM and multimodal LLM, with focus on supervised fine-tuning and reinforcement learning from human feedback.
• Publish papers on top-tier conferences and journals, such as Nature Communication, New England, Lancet, ICML, NeurIPS, ICLR, KDD, SIGIR, AAAI, IJCAI, et al.
• Research and develop large language model powered product and systems, primarily within the mental health related area.
• Work with data scientist/engineer to extract and integrate data from various sources (e.g., cooperated hospitals) for model training.
• Improve efficiency and stability for large scale distributed training jobs
• Plan and lead the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing.
• Conduct testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment.
• Work in a team setting and apply proficient in statistics, scripting and programming languages required by the firm.
• Work with relevant software platforms on which the solution is deployed.

Qualifications

• Bachelor or above degree in computer science or related majors.
• Familiar with the recent advances in LLM, distributed computing, model deployment;
• At least 3 years or more working experiences;
• Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.
• Expert in at least one or two programming languages in Linux environment: CUDA, Python, C/C++;
• Bilingual, fluent in Chinese and English is a plus (as candidates need to liaise with Chinese/Mandarin speaking counterparts in China for job purposes)

The following experiences will be a big plus:

• Publication record on top-tier AI/machine learning conferences or journals.
• Experiences in designing and operating large scale systems in cloud computing or machine learning;
• Experiences in CUDA programming and performance tuning (triton).

Job Description

· Support the Cluster Head (Technology) in achieving the visions and missions for establishing the National GaN Technology Centre (NGTC) as a premium GaN technology centre and manufacturing hub.

· Responsible for leading a team of engineers and scientists in III-Nitride technology road mapping, R&D pathfinding and planning for advanced GaN-based device and

· MMIC technology capabilities including DC and RF/mmwave characterization, device and MMIC simulation and modelling, failure analysis/reliability and qualification tools and inline electrical testing capabilities for GaN device and circuits.

· Lead and coordinate the transfer of developed device and MMIC technologies to the Engineering cluster (process modules and process integration teams).

· Deliver innovations and generates intellectual property related to GaN device and MMIC technologies which include device and MMIC design and development of novel processes, methodologies, and approaches for catering to new process needs and technology platforms.

· Initiate and secure research fundings through public research grant calls and

industry funded projects.

· Initiate, coordinate and manage research collaborations with IHLs and industry partners.

· Provide regular progress reporting of the NGTC activities to the management.

· Participate, lead, and represent NGTC in customer meetings.

Job Requirements:

· PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.

· 10 years of experience in GaN technology development including characterization (e.g. DC, pulsed IV, small-signal and load-pull measurement) and device modelling

· (e.g. TCAD, Silvaco etc.); preferably in RF GaN-on-Silicon or GaN-on-SiC technology development.

· At least 5 years of experience in leading a team of research engineers/scientists in managing multiple projects.

· Good understanding of GaN-based device and monolithic ICs processes, device physics, on-wafer DC and RF/mmWave characterisation, device and MMIC modelling and simulation, failure analysis/reliability, and product qualifications.

· Possess strong leadership and project management quality, good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

The Associate / Research Coordinator will assist the Principal Investigator with population health studies using electronic health records and cancer registries. You will also help implement and coordinate research projects and its activities. These activities may include screening, recruitment and consent taking, incident event reporting, data collection and data management, biological specimen collection and retrieval, maintenance of site files and research participants’ follow up. You are required to adhere to Good Clinical Practice (GCP) guidelines, protocols, and regulatory compliances and also support the department with general administration tasks.

Requirements:

- Degree/Diploma in Life Science or its equivalent.

- Research experience will be an added advantage.

- Proficient in Microsoft Office applications.

- Proficient in English and a second language for ease of communication during patient recruitment.

- Good interpersonal and communication skills; comfortable interacting with patients, doctors, nurses, and other healthcare professionals.

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

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 successful candidate will work with Associate Professor Wang Xuesen & Dr Shen Lei on computational studies of epitaxial moiré superstructures under a project on the Investigation of Practical Epitaxial Moiré Superstructures with Novel Electronic Properties.

The main responsibilities of the position include:

• To screen through various databases of 2D and bulk materials to identify overlayer-substrate material combinations suitable for epitaxial moiré superlattices
• To carry out DFT-based computations of the electronic structures and other properties of epitaxial moiré superlattices
• To develop AI models to extend large-scale screening and simulation
• To analyze data and draft manuscripts for publication
• To provide guidance and assistance to junior students in this project.

Qualifications

• Qualifications / Discipline: PhD degree in Physics or Materials Science or a closely related field.

• Skills: Have a comprehensive understanding of the novel physical properties of material structures based on various 2D materials. Capable of using various computational software packages, such as VASP or QE, based on density-functional theory (DFT) for the investigation of electronic and related functional properties of 2D materials and their heterostructures. Capable of integrating other approximation frameworks in the DFT-based computational packages to investigate complicated material systems (e.g., non-periodic and quasi-periodic structures). Skills in tight-binding and/or machine learning skill are given higher priority.

• Experience: Has at least 4 years of doing DFT-based computational studies of the electronic structures and other related properties of 2D functional materials, especially their heterostructures and other complicated systems requiring adequate approximate treatment.

JOB DESCRIPTION

We are looking for a strong candidate with experience in automatic speech recognition (ASR), particularly under multi-speaker, multilanguage, and code-switch conditions

Key Responsibilities:

• Work on multi-speaker multi-language code-switch speech recognition and speaker diarisation for industrial projects.

JOB REQUIREMENT

The candidate should:

• Have a related B.S degree (or above) in Computer Science or Software Engineering.
• Experiences in automatic speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models.
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell.
• Knowledge in web-based and app developments for demo systems is advantageous.

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.

Job Description

· Support the Cluster Head (Technology) in achieving the visions and missions for establishing the National GaN Technology Centre (NGTC) as a premium GaN technology centre and manufacturing hub.

· Responsible for leading a team of engineers and scientists in III-Nitride technology road mapping, R&D pathfinding and planning for advanced GaN-based device and

· MMIC technology capabilities including DC and RF/mmwave characterization, device and MMIC simulation and modelling, failure analysis/reliability and qualification tools and inline electrical testing capabilities for GaN device and circuits.

· Lead and coordinate the transfer of developed device and MMIC technologies to the Engineering cluster (process modules and process integration teams).

· Deliver innovations and generates intellectual property related to GaN device and MMIC technologies which include device and MMIC design and development of novel processes, methodologies, and approaches for catering to new process needs and technology platforms.

· Initiate and secure research fundings through public research grant calls and

industry funded projects.

· Initiate, coordinate and manage research collaborations with IHLs and industry partners.

· Provide regular progress reporting of the NGTC activities to the management.

· Participate, lead, and represent NGTC in customer meetings.

Job Requirements:

· PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.

· 10 years of experience in GaN technology development including characterization (e.g. DC, pulsed IV, small-signal and load-pull measurement) and device modelling

· (e.g. TCAD, Silvaco etc.); preferably in RF GaN-on-Silicon or GaN-on-SiC technology development.

· At least 5 years of experience in leading a team of research engineers/scientists in managing multiple projects.

· Good understanding of GaN-based device and monolithic ICs processes, device physics, on-wafer DC and RF/mmWave characterisation, device and MMIC modelling and simulation, failure analysis/reliability, and product qualifications.

· Possess strong leadership and project management quality, good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Research Scientist (Power & Energy Systems Modelling)

We are looking for researchers who have a passion for power and energy systems and advancing the growth of sustainable energy. They will develop models and simulations of power and energy systems, analyse their resiliency and efficiency, and optimise their planning, operations, and deployment particularly to address problems relating to the renewable energy transition.

Successful candidates will work together with a multidisciplinary team of scientists and engineers to develop innovative solutions to support decisions around power system planning, energy economics, electricity markets and policy. The project will also involve collaborations with external organisations such as government planners and industry practitioners in order to move research and technical capabilities closer into real-world policy and planning practices.

Key requirements

• Ph.D in Electrical Engineering or Operations Research, or other related fields
• Proficient in programming in Python, and/or Java/C++
• Excellent written and verbal communication skills
• Ability to work individually as well as in a team in a fast-paced dynamic research environment

Preferred requirements and experience

• Candidate demonstrating a good understanding of the power systems economics, including distribution and transmission operator decision-making processes in different regulatory environments would be highly preferred.
• More than 5 years of experience
• Experience in power system analysis and optimisation, including and not limited to balanced and unbalanced power flow, OPF, economic dispatch, unit commitment.
• Experience in usage of optimization solvers - CPLEX, GUROBI, GLPK, etc.
• Experience in simulation with power systems modelling tools (PSS/E, PLEXOS, OpenDSS, GridLabD, PowerFactory).
• Experience in analysis tools or integrated assessment platforms or macro energy systems modelling tools (MARKAL/TIMES, OSeMOSYS, SESAME, etc).

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.

Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

• Design a system architecture for the infrastructure.
• Strategise and execute a phased deployment plan for the infrastructure.
• Develop integration capabilities (e.g., APIs, microservices) to connect system components.
• Set up and optimise database and storage systems to support compute-heavy workloads.
• Set up a workflow management system to submit jobs onto a distributed computing cluster.
• Adapt simulation models and AI/ML flows into reusable workflow tasks.
• Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
• Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
• Automate infrastructure and code management with CI/CD (e.g., Jenkins).
• Implement information security schemes to control and monitor access.
• Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of 5 years of experience in full stack development, data science, or systems engineering.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
• Experience with database management systems, such as SQL and NoSQL databases.
• Experience in system administration, including Linux server management.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
• Understanding of networking and security best practices.

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

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.

Description

The HR Admin Assistant is responsible for administering effective training programmes to increase the overall work efficiency and performance of employees through enhanced skills sets and knowledge.

Responsibilities

• Identify and register new or renewal technical courses based on course dates availability provided by training provider to upskill workers to attain low levies
• Update, maintain and ensure proper documentation of training records
• Filing of certificates into common shared drive
• Uploading of invoices and certificates in Learning Management System after invoices are cleared
• Manage staff exist clearances when required
• Generate monthly training statistics and reports
• Ad-hoc duties assigned from time to time by the supervisor
• To be proactive in creating a safe working environment for everyone and ensuring that HSE in-house rules are observed at all times
• To consider HSE aspects when planning and carrying out tasks to eliminate and reduce HSE hazards, aspects, and risks

Requirements

• Candidates with NITEC / Higher secondary/ Diploma/ Post Diploma or equivalent
• Computer literate in MS Office Word, Excel and PowerPoint
• Some working experience preferred
• Good communication and interpersonal skills
• Proactive, self-motivated and able to resolve issues effectively.
• Ability to work in a dynamic and fast paced environment.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma holders with at least 5 or more years of experience in Mechanical/Electrical/Chemical engineering or equivalent with at least 5 years of relevant experience
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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.

Benefits Summary

• Public Healthcare Industry
• Basic Up $2800 + AWS
• Full Time Attractive Benefits Remuneration
• Queenstown
• Monday to Friday Office Hour

Responsibilities

1) Subject Recruitment and follow up

• Be involved in subject recruitment, scheduling and data entry.
• Screen patients based on study eligibility, and communicate the study aims to potential subjects in layman terms.
• Obtain consent taking, administer study questionnaires and follow-up on study participants.
• Work closely with research team, clinicians, clinic staff and other relevant internal departments to ensure research study needs are met.
• Able to work on tight timelines, set sensible targets and achieve research deliverables.
• Conduct research study activities like patient recruitment, data collection and data management.

Requirements

• Possess at least a diploma or equivalent in qualifications in Science/ Public Health/ Social Science
• Minimum 2-3 years’ relevant clinical research experience is preferred
• Fresh graduates are welcome to apply.
• Able to adapt in a fast-paced environment, with a strong focus to meet research deliverables and targets.
• Strong interpersonal and communication skills.
• Leadership and accountability to tasks is very desirable.
• Independent and mature. Able to work independently, as well as in a team.
• Meticulous, well-organized and able to multi-task.
• Ability to work in an interdisciplinary environment with different groups of stakeholders.
• Bilingual preferred (fluent in Mandarin/Malay/Tamil).
• Willing to travel between the Hospitals and external study sites as part of his / her work.
• Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA).

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Interested candidates kindly click the APPLY NOW.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified. **

Chanel Loh Su Fui

Registration Number: R22110419

EA License No: 06C2859 (MCI Career Services Pte Ltd)