Senior / Customer Service Associate, Group Contact Centre

As part of Group Contact Centre, the Senior / Customer Service Associate's key role is to provide Contact Centre services, such as handling of general enquiries, appointment scheduling requests, to patients and the public. You are expected to work in a fast-paced environment and be challenged with navigating complex healthcare needs. Reporting to the Institution Lead, Group Contact Centre, you will:

Job Responsibilities:

• Deliver excellent customer service to callers by understanding caller's needs
• Provide timely, accurate and appropriate information and assistance to address caller's enquiries
• Book or reschedule appointments based on caller's request
• Handle any other hotline administrative functions such as handling of emails, referral requests and emergency activation
• Coordinate and liaise with other departments in the institutions to ensure requests are followed up and resolved

Job Requirements:

• Minimum Diploma in any discipline. (Fresh graduates are welcomed)
• Preferably 1 to 2 years’ experience in healthcare industry, contact centre environment and/or service related industry
• Able to communicate fluently in English and Mother Tongue
• Able to read and write fluently in English
• Pleasant and cheerful personality with good interpersonal skills
• Able to adapt to fast pace working environment
• Computer literate and good typing skills
• Able to multi-task and work under a stressful environment
• Willing to work on rotating shifts, including PHs and weekend

Working Location:Choa Chu Kang Polyclinic / Ng Teng Fong General Hospital / The Synergy

As an Associate Product Strategy – Lending and Enterprise AI , you will play a pivotal role in shaping the future of our Lending and Enterprise AI solutions. You will be responsible for conducting in-depth research on Lending solutions and AI : Competitor products, market trends, and technological advancements. Your insights will drive product development, innovation strategies, and overall product roadmap. This role requires a deep understanding of AI, lending processes – Corporate and Retail, and financial services, coupled with a passion for driving innovation through data-driven insights.

Key Responsibilities:

• Competitive Analysis:
  • Conduct in-depth research on competitor products, platforms, and innovations in the lending space and AI
  • Benchmark competitors on key metrics such as features, pricing, market penetration, AI capabilities, and regulatory compliance.
  • Analyze competitors' go-to-market strategies, customer base, and partnerships to identify strengths, weaknesses, and opportunities.
  • Stay up-to-date with emerging trends in AI, machine learning, and fintech related to corporate lending.
  • Market Intelligence:
  • Track and report on emerging trends and technologies in enterprise AI, corporate credit risk assessment, and loan origination.
  • Identify new entrants and disruptive technologies that could impact the competitive landscape.
  • Synthesize industry reports, regulatory updates, and technological advancements to support strategic decision-making.
• Product Insights and Recommendations:
  • Translate competitive research into actionable insights for product management, engineering, and leadership teams.
  • Recommend strategic product improvements, feature developments, or pivots based on competitor positioning.
  • Assist in the development of competitive differentiators to enhance the company’s AI and lending offerings.
• Collaboration and Reporting:
  • Collaborate with product managers, data scientists, and business teams to integrate competitor insights into the product development process.
  • Produce regular reports on competitor activities, product updates, and market shifts to inform internal stakeholders.
  • Present research findings to senior leaders, product teams, and cross-functional teams to guide product strategy and innovation.
• Data Analysis:
  • Utilize data analytics tools to monitor and assess competitor product performance, AI model effectiveness, and customer feedback.
  • Evaluate user experience, technological stacks, and AI model maturity of competitors’ solutions.
  • Collect and analyze quantitative and qualitative data to identify gaps in the market that the company’s AI solutions can exploit.

Required Qualifications:

• Bachelor’s degree in Technology, or a related field. Advanced degree (Master’s/PhD) in Product Management, Strategy, ML& AI or any other relevant field is preferred.
• Atleast 6 months of experience in product research, market intelligence, or competitive analysis in AI-driven financial services, fintech, or enterprise technology.
• Strong knowledge of corporate/retail lending processes, enterprise AI, and emerging fintech trends.
• Proven experience in competitor analysis and market research in AI and financial technology sectors.
• Strong understanding of AI/ML technologies and their applications in corporate lending (e.g., credit scoring, loan origination, risk management).
• Ability to synthesize complex information and trends into clear, concise research reports and recommendations.
• Strong analytical skills with experience in data analysis, AI model evaluation, and competitive intelligence frameworks.
• Excellent written and verbal communication skills, with the ability to present research insights to diverse audiences.
• Familiarity with market research tools, databases, and competitor analysis methodologies (SWOT, PESTLE, etc.).
• Experience with financial regulations and compliance standards affecting AI products in corporate lending is preferred.
• Understanding of the AI product development lifecycle and its application in enterprise software solutions is preferred.

Responsibilities :

The candidate will be involved in project activities such as evaluating and recommending suitable technology and solutions, conducting Proofs-of-Concept (POCs), and coordinating projects from ideation through to completion. In addition, the candidate is to provide end users IT service and support within A*STAR EUC environment. This includes installing, diagnosing, repairing, maintaining, and upgrading all IT hardware/software and equipment (including but not limited to PC, IP Phones, and Printers).

Requirements :

• Diploma in Computer Engineering, IT or equivalent certifications
• Min 2 years of IT work experience with demonstrated problem solving and customer service skills
• At least 3 years of experience in desktop computing, End User support, server administration and IT security.
• Competent in Windows OS, Apple MacOS, iOS devices and Linux Endpoints.
• Experience in Server Environment and AD Administration and tools including WSUS, Tanium, MS Intune.
• Understanding of IP Phone, LAN, Wifi, WAN, Firewalls, VPN technologies

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.

Responsibilities :

The candidate will be involved in project activities such as evaluating and recommending suitable technology and solutions, conducting Proofs-of-Concept (POCs), and coordinating projects from ideation through to completion. In addition, the candidate is to provide end users IT service and support within A*STAR EUC environment. This includes installing, diagnosing, repairing, maintaining, and upgrading all IT hardware/software and equipment (including but not limited to PC, IP Phones, and Printers).

Requirements :

• Diploma in Computer Engineering, IT or equivalent certifications
• Min 2 years of IT work experience with demonstrated problem solving and customer service skills
• At least 3 years of experience in desktop computing, End User support, server administration and IT security.
• Competent in Windows OS, Apple MacOS, iOS devices and Linux Endpoints.
• Experience in Server Environment and AD Administration and tools including WSUS, Tanium, MS Intune.
• Understanding of IP Phone, LAN, Wifi, WAN, Firewalls, VPN technologies

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.

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 the French-Singaporean international laboratory (Majulab), are seeking a talented postdoctoral fellow to conduct theoretical and numerical investigations on Kardar-Parisi-Zhang (KPZ) physics in quantum systems.

The KPZ equation, introduced in 1986 to describe the growth of rough surfaces, has since become a captivating area of research due to its remarkable universality. The project entails studying three quantum platforms where recent studies have shown signatures of KPZ physics: random quantum circuits, Anderson localization, and exciton-polariton condensate, as detailed in [Nahum et al., PRX 2017; Mu et al., PRL 2024; Fontaine et al., Nature 2023]. All three systems are subject to random fluctuations in their many-body degrees of freedom: (i) in the growth of entanglements in quantum circuits, (ii) in the wavefunction fluctuation of an Anderson localized system, and (iii) in the phase of a driven-dissipative condensate.

Despite being completely different, these systems are strikingly connected by KPZ physics. By following upon this unique cross-platform connection, one has the opportunity to discover new properties in each of these systems that could not have been envisaged otherwise. In this position, the fellow's primary focus will be on the latter two platforms and interact closely with another fellow dedicated to the first platform.

Job Requirements

The candidate should possess a solid academic track record and some prior experience in quantum disordered systems, quantum transport, many-body physics, quantum information, quantum fluids, or cold atoms. Proficiency in numerical simulations is essential.

The appointee will join CQT under the supervision of a group of researchers including Profs., Kwek Leong-Chuan, Hui Khoon Ng, Jiangbin Gong, Gabriel Lemarié, Maxime Richard, and Christian Miniatura. The candidate will actively contribute to all aspects of the group's operation, including co-supervising interns and PhD candidates. Salary will be competitive and commensurate with the candidate's work experience. Applicants are required to submit a detailed CV. Positions will initially be offered for 12 months with possible extension by another 12 months. The position is available from June 2024 and will remain open until filled. Shortlisted applicants should also arrange for three letters of reference.

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• 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

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• 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.

About Us

Chemigran is transforming agriculture by building an ecosystem that brings cutting-edge technology into the hands of farmers and agribusinesses. Our platform leverages AI, blockchain, geospatial data, and agricultural science to optimize farm productivity, drive sustainability, and create new revenue streams for stakeholders. We are looking for an innovative AI Research Scientist to lead and expand our AI capabilities in agricultural data science and biotechnology.

Job Summary

As an AI Research Scientist (Agriculture/Biotechnology) at Chemigran, you will be responsible for developing and implementing AI models that analyze soil, crop, and environmental data to provide actionable insights for farmers and stakeholders. You will collaborate with agronomists, data engineers, and software developers to create scalable solutions for precision agriculture, sustainable farming, and new revenue opportunities in agriculture.

Key Responsibilities

• Develop AI Models: Create machine learning and deep learning models to analyze complex agricultural datasets, including soil health, crop yield, weather patterns, and environmental conditions.
• Research and Innovation: Conduct applied research in agriculture, biotechnology, and geospatial data analytics to develop new data-driven insights and recommendations for crop management, soil optimization, and sustainable practices.
• Data Analysis and Interpretation: Leverage AI to interpret data from diverse sources, including metagenomics, soil samples, satellite imagery, and climate data, to identify trends and provide predictive insights.
• Collaborate with Domain Experts: Work closely with agronomists, soil scientists, and environmental engineers to ensure AI models are relevant and aligned with agricultural best practices.
• Model Deployment: Collaborate with software engineering and data engineering teams to deploy models into production, ensuring scalability, accuracy, and reliability in real-world applications.
• Stay Updated on Technological Advances: Keep abreast of the latest research in AI, machine learning, and agricultural science, integrating new methodologies into existing models and workflows as appropriate.

Qualifications

• Educational Background: Diploma or degree in Computer Science, AI and machine learning applications, or a related field.
• Experience: Minimum of 2 years of full-time experience working on AI projects, preferably in the agriculture, biotechnology, or environmental sciences sectors.
• Technical Skills:

1. Strong proficiency in Python, R, or similar programming languages.
2. Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
3. Proficiency in data analysis, statistical modeling, and predictive analytics.
4. Experience with geospatial data and satellite imagery is a plus.

• Domain Knowledge: Knowledge of agricultural science, soil health, crop science, or biotechnology is highly preferred.
• Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to translate complex data into clear, actionable insights.
• Communication Skills: Excellent verbal and written communication skills, with the ability to work collaboratively across interdisciplinary teams.

Preferred Qualifications

• Experience with Blockchain or Web3: Familiarity with blockchain technology, particularly in agricultural applications, is a bonus.
• Experience in Sustainable Agriculture: A background or interest in carbon credit systems, sustainable farming practices, and environmental science.

What We Offer

• Impactful Work: Your research will directly contribute to the transformation of global agriculture, enhancing sustainability and productivity for farmers worldwide.
• Collaborative Environment: Work alongside experts in AI, agriculture, and software development.
• Growth Opportunities: Participate in a fast-growing company with opportunities for advancement and professional development.
• Competitive Salary and Benefits: We offer a competitive salary, benefits, and work environment.

How to Apply

Interested candidates are invited to submit their resume, a cover letter detailing their experience in AI applications for agriculture or biotechnology, and any relevant publications or projects to [email protected]

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 Singapore Gastric Cancer Consortium (SGCC) is a translational research group comprising clinicians and scientists working in gastric cancer research. The group aims to solve important clinical questions to improve the care of gastric cancer patients, facilitated by close interaction between clinicians and scientists, and with synergism that enables biologic discoveries in the laboratory to be validated in the clinical setting.

Our research theme, “Bringing Discoveries to Patients” was awarded the Open Fund - Large Collaborative Grant by the National Medical Research Council in 2019. This will spearhead key research projects which include molecular testing for gastric cancer prevention, personalized cancer therapy and treatment, characterization of gastric stem cells, and single cell analysis of gastric cancers.

Duties

• Work with Research Fellow/s in the conducting of clinical research projects
• Processing and molecular analysis of patient blood and tissue samples
• Perform lab-based molecular work according to strict methodologies
• Optimizing and troubleshooting new experimental protocols
• Keep meticulous records of experimental work
• Coordinate laboratory operational activities through managing laboratory and sample inventories, establishing laboratory procedures and organization of laboratory consumables
• Work with Laboratory Safety Lead to ensure laboratory safety and maintain safety documentation and procedures
• Assist Research Manager in grant reports and organizing scientific meetings

Skills

• Meticulous and attention to detail
• Proactive and able to work independently in a corporate as well as laboratory setting
• Work collaboratively with other research groups
• Critical thinking and systematic problem-solving skills
• Strong written and oral communication skills
• Keen interest in scientific literature, keeps up to date with relevant research publications
• Experience in laboratory research and molecular biology techniques will be advantageous.
• Well-organized and able to clearly summarize and present information and data obtained.

Qualifications

Bachelors in Life Sciences/ Biological Science/ Biomedical Science or related fields. Laboratory experience in molecular work (DNA/ RNA prep and protein assays, Next-Gen Sequencing, Pyrosequencing) and tissue culture preferred. Grant or report writing experience and experience of coordinating research projects also are valuable.

We regret that only shortlisted candidates will be contacted.

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Research Assistant in Pharmacology (PC1) Unit

Job Scope:

· Tool generation – Expression vector construction and molecular cloning, protein labelling, stable cell line development

· Drug screening – ELISA, Flow cytometry, Cell-based functional assay, Microscopy, SDS-PAGE, Western blotting, qPCR etc.

· Cell culture – Suspension cell culture and adherent cell culture, 3D cell culture models such as spheroid, tumoroids, Primary cell culture.

· Lab management

Requirements:

· Degree in Biomedical Science/Biotechnology/Molecular Biotechnology or a related field with at least 1-2 years of related working experience in either an industry or academia setting.

. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures especially mammalian cell culture and In vitro cellular assays.

· Experience in Molecular Biology, 3D cell culture, Cell engineering, Primary cell isolation, Flow cytometry, Microscopy, NGS analysis and other relevant skills will be an added advantage.

· Experience in In vivo sample handling experience is a plus.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed 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

We have an opening for a Research Fellow (Robotics) in areas related to the control of drone swarms and autonomous vehicles. Specifically, we expect the selected candidate to lead and pursue high-quality research in the broad areas of robotics, e.g., the coordination of drone swarms in complex environments, the control of autonomous vehicles in mixed traffic, etc. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a Doctoral degree in Mechanical Engineering, Electric Engineering, Computer Science, or other closely related fields.
• Research and hands-on experience in robotics (e.g., drone systems) with excellent publication record
• Good programming and analytical skills
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable
• Good technical proposal writing and presentation skills
• Able to plan and organize well and adhere to the deadline
• Able to perform research in a multidisciplinary team.
• Strong written and spoken communications and able to present results clearly.
• Open to fixed-term contract.

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

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:

We are looking for talented and highly motivated candidate to work on the research and development of flat optics. The recruited scientist will work in the National Semiconductor Translation and Innovation Centre (NSTIC), managed by A*STAR.

The candidate should have a solid background and hands-on experience in the research of optics. Candidate shall be able to perform independent research and solve challenging problems together with the team to deliver high impact results.

The main work scope of the position is as follow:

· Design and simulation of flat optics, including using machine learning method.

· Micro-nanofabrication of flat optics and their characterization.

· Technology development and translation to industry applications.

Job Requirements:

· PhD in Physics or Optics, Photonics, Electrical Engineering, Materials Science with at least 5 years of relevant experience

· Hands-on experiences on flat optics or metaoptics are added advantages.

· Good team player, resilient in tackling challenge, effective communication ability.

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.

We are seeking a highly skilled High-Speed IO Modeling designer to join our team. The ideal candidate will have a strong background in Electrical or Computer Engineering (Masters/PhD) , with a focus on high speed circuit modeling, statistical analysis, jitter analysis, digital signal processing, and signal integrity. The successful candidate will play a crucial role in developing IO performance models for chiplet-based high-speed communication protocols and generating complete high-speed link performance matrices based on advanced packaging.

Key Responsibilities:

• Develop IO performance models (Tx, Rx) for chiplet-based high-speed communication protocols such as UCIe, AIB, and others.
• Create complete high-speed link models by integrating IO performance models with advanced packaging interconnects.
• Generate comprehensive high-speed link performance matrices, considering various parameters such as technology node, area, latency, power, number of channels, micro bump pitch, and frequency of data rates.
• Collaborate with cross-functional teams to ensure the successful integration of IO performance models into the overall system design.
• Develop parameterised PDN model and fluent in analysing SI and PI simulations
• Stay up-to-date with the latest advancements in high-speed IO modelling techniques and technologies, and apply this knowledge to improve existing models and develop new ones.

Required Qualifications:

• Master's degree in Electrical or Computer Engineering with 2+ years of relevant experience, or a PhD in Electrical or Computer Engineering with 1+ years of relevant experience.
• Strong understanding of package/interconnect/I-O modelling, statistical analysis, jitter analysis, digital signal processing, and signal integrity.
• Experience in mixed-signal circuit design for High-Speed IOs (e.g AIB, AXI, UCIe).
• Proficiency in IBIS-AMI specification and model creation using Keysight ADS.
• Programming and scripting skills in one or more of the following: Python, Perl, C/C++, TCL, or AEL.

Preferred Qualifications:

• Ability to develop and implementing high-speed IO performance models using industry-standard tools/methodologies.
• Experience with advanced packaging technologies and their impact on high-speed link performance.
• Strong problem-solving skills and the ability to think creatively to overcome technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

Job Description:

Be part of an exciting Team working on cutting-edge advanced packaging process technologies. Partner and work with various FAB users, to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to make sure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, and professional individual.
• Oversee the Team spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings, raise purchase requests accordingly.
• Take charge and provide day to day supports in all logistics needs and initiate material/spare parts procurement when required to ensure smooth Fab operations.
• Accountable for the inventory movements required to enable smooth lot operations across IME Premises.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time.
• Work seamlessly with various stakeholders to provide logistics support and deliver inventory on time.
• Work towards and employ critical thinking, put-up good initiatives to move forward to digitalization.
• Ability to work in a multi-task environment.

Experience:

• Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.
• At least 2 years of warehouse operations.
• Preferably some experience in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 12 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 12 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/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.

The National Semiconductor Translation and Innovation Centre (NSTIC) aims to foster ecosystem collaboration and boost R&D translation outcomes in the areas of flat optics and silicon photonics. NSTIC opens up new possibilities in enhancing the performance, efficiency and functionality of semiconductor devices. We are seeking an enthusiastic and self-directed Project Manager to join our team. You will have opportunities to work with researchers from research institutes, universities, as well as industry partners.

Job Description / Responsibilities

• Initiating, planning, executing, monitoring and, coordinating various aspects of projects related to the development and implementation of the technologies under NSTIC
• Ensure timely and successful delivery of the project within budget through the management and control of project risk, scope, schedule, budget and quality
• Manage internal and external stakeholders such as the technical team, NSTIC management, universities, other government agencies and the industry
• Documenting and reporting of project progress and outcomes
• Support other operational activities in the centre

Qualifications / Requirements

• Bachelor or Masters in any engineering / project management related discipline
• At least 3 years of project management experience in semiconductor/microelectronics/photonics or research project
• PMP certifications or equivalent will be advantageous
• Good business acumen, driven to deliver customer requirements and project deadlines
• Proactive team player and technically motivated to solve problems, innovate and deliver to internal and external stakeholders
• Strong communicator with excellent interpersonal 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.

Job Description:

Are you eager to dive into the world of cutting-edge electronics? Join us as a Heterogeneous Integration Assistant Laboratory Officer/laboratory Officer and become a key player in advancing next-generation technology. In this role, you’ll gain hands-on experience with state-of-the-art equipment and contribute to groundbreaking research in electronic module integration.

Key Responsibilities:

• Heterogeneous Integration: Engage in the complete processes of semiconductor package assembly, including die preparation (dicing and back-grinding)
• Equipment Operation: Operate and maintain various high-tech instruments/equipment used in the heterogeneous integration processes, ensuring they are in optimal condition and ready for use.
• Process Support: Manage equipment readiness, and ensure the availability of processing materials, and support assembly lap operations
• Inspection and Analysis: Conduct metrology inspections and analyse colour coded data to ensure the highest quality of assembly processes

What You’ll Gain:

• Cutting-Edge Experience: Work on the latest assembly and packaging equipment in heterogeneous integration and contribute to innovative research in advanced electronics.
• Professional Growth: Receive hands-on training on assembly & packaging equipment operations and mentorship from experienced professionals, with opportunities for career development within a forward-thinking company.
• Collaborative Environment: Be part of a dynamic team that values your input and fosters a culture of learning and collaboration.

Qualifications:

• Diploma or ITE graduate in Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, or Electronics.
• We value enthusiasm and a willingness to learn over extensive experience.
• Strong communication skills, industry awareness, and problem-solving abilities.
• Highly motivated and a proactive self-starter with the ability to work effectively in a team.

Why Join Us?:

At "Institute of Microelectronics", we are dedicated to developing talent and providing our team members with the tools and support they need to succeed. We offer a vibrant and inclusive work environment where innovation thrives. Enjoy a range of benefits including ongoing training, career progression opportunities, and the chance to work on pioneering projects.

Apply today and start your journey with us in the exciting field of heterogeneous integration!

Scientist/Senior scientist will be part of heterogeneous integration group focused on development of the quantum packaging technology platforms to integrate qubit and control chip on superconductivity interposer.

He/she will work with cross functional team to:

• Design and simulation of superconducting circuits for salable quantum processor in 3D flip-chip architecture.
• Explore and develop superconducting nanowire base photo detector.
• Design and layout of circuits components of a superconducting qubit.
• Develop design rules and PDK for quantum packaging technologies.
• Provide quantum packaging solutions to meet the system requirements based on the simulation results.
  Prepare competitive grant research proposals and lead execution of these proposals.
  Engage industry partners to align and develop the building blocks required for next generations quantum packaging platforms.

Job Requirements:

• Master/PhD in quantum computing; Electrical and Computer Engineering; Material science area
• 4 to 5 years’ experience in superconducting circuits design and simulation for scalable quantum processor. Deep understanding on 3D quantum package
• Working experience on measuring loss and dielectric constants of materials at cryogenic temperatures
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done.

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

Role & Responsibilities:

• Responsibilities include diagnosing appropriate levels of metal/metal-alloy contaminations by oxygen and other contaminants; determining the root cause of contaminants, and establishing protocols for characterizations.
• Hands-on providing support for onsite metal PVD, including creating, running, and characterizing recipes to achieve the lowest resistances.
• Collaborates closely with equipment vendors and device engineers to optimize the metal-stack for device performances and robustness/reliability, from low to high temperatures.
• Lead data analysis related to implant-induced defects and cleaning issues on metal contacts with solutions development.
• Examines the work-functions of metal/metal-alloys suitable for Ohmic contact on SiC.
• Responsible for designing experiments for Ohmic contact on various SiC substrates with different doping types, determining their impact, and resolving issues to achieve the lowest specific contact resistances.
• Designing cleaning processes to obtain ideal Schottky diode using various metal/metal-alloys on SiC for high-performance applications.
• Work closely with cross-departmental and integration teams and in 3-5 years’ time develop a WBG backend process integration team of at least 4 persons.

Requirements:

• PhD Degree in Material Science, Physics, Electrical Engineering or related field.
• >8 years related industrial experience inclusing backend process module integration.
• Extensive hands-on experience in PVD (Physical Vapor Deposition) processing for metal depositions and interface tuning.
• Strong understanding of metal-semiconductor contact physics.
• Expertise in work-function tunings of metal and metal-alloy.
• Proficiency in modulating electron affinity through implantation or surface treatments of semiconductors.
• Familiarity with wide band-gap semiconductor materials and their interaction with metal/metal-alloys at various temperatures.
• Thorough fundamentals in Ohmic contact and Schottky diode physics, as well as the impact of defects and contaminations on electrical properties.
• Skilled at mentoring and transferring knowledge to junior staff members.
• Excellent communication skills to effectively address customers' needs, concerns, and solution requirements.

Position:

Our team is starting an exciting project to develop RF/mm-wave ICs for the future of communication for Beyond-5G to 6G applications. We are looking for an exceptional candidate with relevant expertise to join us. Our team focuses on developing communication modules for both terrestrial and non-terrestrial needs. You will work at the Institute of Microelectronics (IME) to create the most advanced semiconductor technologies. You will collaborate with world-leading industries and academic institutions on innovative designs and strategic intellectual properties.

Job Responsibility:

• Benchmarking with datasheets, prior arts, and latest academic work.
• In-depth design and analysis with electrical/electromagnetic simulations.
• In-depth analysis of design robustness, optimization, and testability.
• In-depth presentations and report recording of design, layout, test and measurement, and fault analysis.
• Working independently, as a team, and with collaborators from industry and academic backgrounds.

Pre-requisites:

• A Master’s / PhD Degree in Electronics or Electrical Engineering and proven academic and industry experience are pluses.
• Experienced in designing RF/mmWave such as LNA, mixer, PA, buffer, transmission line, baluns, PLL, VCO, etc.
• Experienced in designing base-band/mixed-signal circuits, such as amplifiers, bandgap, ADC, DAC, etc., is a plus.
• Knowledgeable in design trade-offs at the circuit-level specification.
• Experienced in designing in CMOS and SiGe technology or any other technologies like RF-SOI and compound-semiconductor is a plus.
• Proficient in using Cadence and EM tools like ADS for EM circuit simulation, IC layout, LVS, and DRC verification.
• Familiarity with IC measurement and debugging and hands-on experience with RF/mmWave equipment such as spectrum analyzer, network analyzer, oscilloscope, and probe station.
• Good publication record with a strong awareness of state-of-the-art.
• Good communication and teamwork.