JOB DESCRIPTION

NGTC (National GaN Technology Centre) in IME is looking for a talent to join its Technology Team for R&D developments. The qualified candidate has opportunities to participate in technical tasks related to RF GaN foundry for the applications up to 140 GHz. This includes the following area:

• Perform experiments to analyse and determine the root cause of failure in GaN devices (e.g. Transistors, Capacitors, Inductors, Resistors, and Diode) and circuits.
• Join the cross-functional teams on appropriate FMEA (Failure Mode Effects & Analysis) techniques to establish an understanding of the failure mechanisms of the devices.
• Drives device reliability/qualification activities, and data correlation studies.
• Manage large & disparate data sets and distil information into concise presentations with possible recommendations as quick feedback to the engineering team.
• Develop new FMEA techniques to improve detection capability, productivity or process optimization.

JOB REQUIREMENT

• PhD degree in Electrical Engineering (EE), Materials Science or Physics, MS degree in EE with 5+ years or BS degree with 7+ years of relevant working experiences.
• > three-year of FMEA experience in step-by-step approach for identifying all possible failures in the semiconductor industry.
• FMEA experience in Wide-Bandgap (WBG) devices (GaAs, GaN) is plus.
• Good knowledge of WBG device physics and its fabrication is a big plus.
• In-Depth understanding of FMEA techniques (e.g. delaying of devices/chips by wet etching or plasma etching and its data analysis) with good hands-on experience in using different analytical techniques (e.g. SIMS, XPS, AES, SEM, FIB-SEM, TEM, AFM, etc.)
• Understanding of semiconductor device qualification standard such as JEDEC.
• Excellent report writing and presentation skills, able to robustly defend data analysis and conclusions where necessary.

OTHER ESSENTIAL ATTRIBUTES

• Good team-player personality, able to pro-actively engage with other groups
• Self-motivated, energetic, able to delivery in time

The Singapore University of Technology and Design (SUTD) is offering position for research assistant who will work closely with Dr. Meixia Lin working on various projects about Numerical Optimization, Convex and Non-Convex Optimization, Optimal Transport, Machine Learning, and others.

Priority will be given to those who have some computational experience.

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the 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

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

1. Policy implementation: Review and update policy on research security and collaborate with research units to implement related procedures and protocols.
2. Risk Assessment: Conduct regular risk assessments of research projects and facilities to identify potential security vulnerabilities and develop mitigation strategies through review of research agreements and related documents.
3. Training and Awareness: Develop awareness/training program for faculty, staff, and students on research security best practices, compliance requirements, and incident reporting procedures.
4. Point of Contact: Serve as the primary point of contact for internal and external stakeholders for research security matters. Work closely with various departments, including IT, compliance, legal, and research units to promote a culture of security and compliance in research activities.
5. Monitoring and Reporting: Monitor compliance with research security policy, perform related analysis and prepare reports for senior management on related activities. Support scheduled compliance audit/inspection on research security readiness and mitigation measures compliance and recommend improvements and follow up actions.

Qualifications

• Recognised degree in science or engineering discipline preferred;
• At least 5 years’ working experience in research management/administration or similar roles in compliance;
• Experience in research related functions in higher education sector, or research contracts management will be an advantage;
• Knowledge or experience in reviewing and developing policies and procedures;
• Excellent communication, analytical, and organizational skills and ability to work collaboratively in a diverse environment; strong problem-solving capabilities;
• Meticulous, independent and organised individual with the ability to maintain confidentiality and discretion as may be necessary in the job function.

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

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 in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

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.

The candidate will be joining the Antimicrobial Chemical Biology Lab, a newly established group in A*STAR ID Labs focusing on the development of synthetic antimicrobial compounds for potential therapeutic applications. Scholarship opportunities will be available for those interested in pursuing further education at the master’s or PhD level.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.
• Support the team in lab operation
• Upkeep of consumables
• Safety oversight
• Labware procurement
• Documenting experimental procedures and results.

Job Requirements:

• Bachelor’s degree in microbiology, biomedical science, chemistry, chemical engineering, bioengineering, or related field
• Familiarity with basic microbiology (e.g., bacteria/fungi culture, agar plating, PCR) and chemistry (e.g., reaction setup, column purification, HPLC) lab techniques, programming, and/or common graphics software (e.g., Photoshop) will be advantageous.
• Highly motivated and passionate about scientific research
• Good spoken and written communication skills
• Team player
• Receptive and detail-orientated

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

We are seeking a highly motivated and skilled research scientist to join our team in the development of advanced materials through self-assembly techniques for selective ion capture and transport. The candidate will be responsible for designing, synthesizing, and characterizing sponges and membranes with tailored properties to facilitate the selective separation, capture and transport of specific ions.

• Design and conduct research on self-assembly methods for fabricating sponges and membranes with controlled porosity and surface chemistry
• Develop protocols for ion-selective capture and transport, focusing on optimizing materials for applications in filtration, water purification, and ion recovery
• Synthesize and characterize various materials, including polymers, hydrogels, and nanomaterials, to create functional sponges and membranes with desired selectivity
• Perform material characterization using techniques such sa SEM, TEM, FTIR, XRD, and surface area analysis to assess structural properties
• Evaluate the ion capture and transport efficiency of synthesized materials through experimental testing in simulated environments

Job Requirements

• PhD in Materials Science and Engineering
• Strong background in self-assembly techniques, membrane fabrication, polymer science, and nanomaterials
• Experience with material characterization techniques such as SEM, TEM, FTIR, XRD, and ion transport testing
• Demonstrated experience in ion capture, separation, and transport processes, with a focus on designing materials for selective applications

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.
• Object detection and tracking.
• Stereo / optical flow / depth estimation.
• Multi-view geometry and 3D computer vision.
• Structure from motion.
• Network compression and optimization.
• Network-based sensor fusion.
• Mathematical optimization.
• Proficient programming skills in Python (knowledge of C++ is advantageous).

Summary

Apple is looking for a thought leader in Market Research to support research and insight needs in Asia markets especially Southeast Asia and India. This position is responsible for developing research plans, managing local specific projects, working closely with local stakeholders and Research team to deliver insights that unlocks new growth opportunities for the local market and informs decision making. We’re looking for an expert in consumer research and research methodologies, highly capable and agile in analyzing and synthesizing data across different sources, translating data into actionable insights and linking it to business issues. The candidate should also have creative visualization and impactful presentation/communication skill. The key success factor in this role is the ability to design, oversea and utilize research programs to timely capture consumer voice and address unique local business needs. The success of this role will also highly depend on strong collaboration with other research members and local function teams.

Description

• Partner with local teams in SEA and India to identify the key local business issues, create research brief and develop research plan that delivers compelling insights and provides thought leadership.
• Lead, develop and manage primary consumer research execution for data collection and reporting, and conduct advanced analysis when needed.
• Communicate and deliver meaningful research results to key stakeholders and support insights communication for local needs.
• Manage syndicated data sources as well and triangulate data from various sources to deliver broader strategic insight.
• Work closely with other research members in the team to make sure the best synergy, high quality and seamless communication across the projects & deliverables in the Asia region. Support projects for other markets in the region when needed.
• Collaborate with global research team on projects involving SEA and India where local input & participations are required.
• Identify high quality local data sources and local agencies. Bring innovation to research projects including recommendation of relevant approaches that suit local markets best.
• Travel to US, China and other Asia markets is required.

Minimum Qualifications

Bachelors degree in market research or human behavior, sociology or statistics related field.

At least 7-8 years of demonstrated success in customer insights / marketing research in a consumer technology / consumer products company or market research firm.

Preferred Qualifications

• Intellectually curious with proven track record in quantitative and qualitative survey analysis.
• Comprehensive experience in market research project and agency management.
• Highly analytical, capable to cut data for different needs and run advanced analysis (regressions, driver analysis, factor analysis and cluster analysis etc.) when needed.
• Extremely strong communication, visualization and articulation skills to deliver meaningful insights to shape business decisions.
• Curiosity and perseverance, a drive for focus and excellence, ability to multi-task and ask questions.
• Dynamic and highly motivated individual who works well in a fast-paced and changing environment and always willing to learn new things.
• Deep expertise with application of a broad range of consumer research techniques and methodologies.
• Ability to efficiently manage and implement quick-turnaround, high volume of projects
• Great understanding of consumer technology industry.

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

A full-time Research Assistant position in the team led by Assistant Professor Chua Wei Ling is available at the Alice Lee Centre for Nursing Studies, National University of Singapore. The selected candidate will work closely with the Principal Investigator in the research domains of (i) nursing staffing and patient outcomes and (ii) post-sepsis syndrome.

This position provides an excellent opportunity for candidates looking to further experience in research with a view to a Master’s and/or PhD with the Principal Investigator.

Appointment will be made on a 12-month contract basis in the first instance, with the possibility of extension, depending on project commitments and candidate’s career objectives.

Duties

The appointee will be required to:

1. Oversee the administration and general management of the research projects, including support with grant and ethics application and liaise with relevant stakeholders in preparing research agreements.
2. Conduct research fieldwork, including recruiting and managing participants, data collection, data analysis.
3. Assist in preparing reports and meeting materials for stakeholders.
4. Work on other tasks as assigned.

Qualifications

The applicant should:

1. have a Degree in nursing, health-related, social-science disciplines; preferably with some experiences in research;
2. be proficient with Microsoft Office Suite applications, e.g., Microsoft Word, Excel, PowerPoint;
3. have excellent project management, organisation, coordination, and problem-solving skills;
4. have excellent interpersonal skills and written and verbal communication skills in English;
5. be a good team player with a strong sense of responsibility;
6. be highly motivated individual with capacity to work independently;
7. Proficiency in Mandarin required as the position will require working with Chinese-speaking participants
8. Experience in planning, managing, and implementing healthcare-related research projects will be an added advantage;
9. Proficiency in data analysis applications (e.g. SPSS, Jamovi, Stata, R & etc) will be an added advantage.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

Applicants should be a Singaporean Citizen or Permanent Resident.

Formal application: Please submit your application, indicating current/expected salary, supported by a CV and complete contact information of 3 referees via the NUS Careers Portal.

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 successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

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

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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

A Lab Technician position is available in Professor Chng Wee Joo’s research group at the Cancer Science Institute of Singapore. This role will involve processing various types of patient samples, managing the sample inventory, and supporting animal work experiments. The successful candidate will play an essential role in the lab’s ongoing research in haematological malignancies, focusing on understanding the pathogenesis of cancers like multiple myeloma, acute myeloid leukemia, and NK/T-cell lymphoma.

Key Responsibilities:

• Sample Processing:Process a range of patient samples, including bone marrow, peripheral blood, and buccal swabs, with accuracy and adherence to standard operating procedures.
  Prepare samples for downstream analyses such as genomics and proteomics studies to aid research into cancer biomarkers and therapeutic targets.
  
• Inventory Management:Organize and maintain a detailed inventory of patient samples, ensuring proper labeling, storage, and tracking.
  Document and record all sample processing details accurately to contribute to research data integrity.
  
• Animal Work Support:Assist in handling laboratory mice, including breeding, monitoring, and performing procedures such as blood collection and organ harvesting.
  Support researchers in setting up animal experiments that model cancer progression and response to treatments.
  
• Lab Maintenance:Maintain a clean, safe, and organized laboratory environment, following all safety protocols and biosafety guidelines.
  Ensure proper maintenance and calibration of lab equipment to support sample processing and animal work.
  
• Team Collaboration:Work closely with researchers and other lab members, communicating effectively to ensure efficient sample flow and workflow.
  Contribute to team discussions by providing feedback on sample processing methods and laboratory procedures.

Qualifications

• Minimum Diploma in Life Sciences, Biomedical Sciences, or a related field.
• Previous experience in a laboratory setting is preferred, especially with sample processing and/or animal handling.
• Familiarity with laboratory procedures, including sample processing and inventory management.
• Knowledge of laboratory safety protocols and biosafety practices.
• Strong attention to detail and organizational skills to handle high volumes of samples accurately.
• Effective communication skills and a collaborative team approach.

Desirable Attributes:

• Experience working with cancer research samples or models.
• Interest in cancer biology and translational research.
• Ability to adapt in a dynamic research environment and support multiple projects.

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI

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 Fellow position in the characterization of adaptive immunity against emerging highly pathogenic viruses, within the Infectious Diseases Translational Research Programme (ID TRP) at the Yong Loo Lin School of Medicine. The ID TRP is a 17-member programme comprising both basic scientists and clinician-scientists, enabling seamless translation of research. The programme has strong expertise in bacterial antibiotic resistance, multidrug resistance, and emerging viruses, covering areas such as epidemiology, molecular mechanisms, animal models, and therapeutic and prophylactic interventions. Other active areas of research include phage biology, pneumococcal infections, and microbiome studies. Appointments will initially be made on a yearly contract basis, with the possibility of extension.

Purpose of the post

We are seeking a highly motivated individual with a strong passion for emerging viral diseases, who is eager to contribute to advancing our understanding of infectious disease threats in this region and to help strengthen preparations for future pandemics. As a Research Fellow (RF), you will play a pivotal role in the project, working closely with the Principal Investigator and the broader study team to ensure the project is completed on time and with high impact.

The primary responsibility of the RF will be to lead the project independently, while also collaborating closely with our regional study partners. You will be expected to design, execute, and oversee experiments, particularly in animal models, to investigate immune responses to emerging viral pathogens. This will involve conducting both humoral and cellular immunological assays, with a focus on understanding how the immune system responds to new and potentially dangerous viral threats.

The ideal candidate will have a strong background in immunology and virology, with expertise in studying immune responses—both humoral and cellular— to infectious diseases. You should be comfortable working independently and taking ownership of the project, while also having the ability to communicate effectively and collaborate with diverse teams of researchers. This is an exciting opportunity for a researcher passionate about making a meaningful contribution to public health and pandemic preparedness.

Main Duties and Responsibilities

The RF will be responsible for:

• Designing and developing assays to assess humoral and cellular immune responses to infectious diseases.
• Conducting animal experiments, with a focus on immunization and infection studies.
• Characterizing and isolating monoclonal antibodies from immunized mouse models.
• Supervising and training research assistants and undergraduate students.
• Collaborating with team members to provide expertise in study design and data analysis.

Qualifications

The applicant should ideally:

• Hold a PhD in virology or immunology.
• Have expertise in T cell and antibody-related techniques.
• Possess hands-on experience in handling laboratory animals.
• Demonstrate a strong research background, with a track record of publications in related fields.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Tan Chee Wah at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

About EDDC:

EDDC is a National platform dedicated to developing innovative therapies that transform patients' lives. Our research and development efforts are focused on uncovering the underlying mechanisms of disease and translating this knowledge into impactful treatments. We work collaboratively with public sector and industry partners to translate scientific discoveries arising from Singapore"s biomedical and clinical sciences R&D into innovative healthcare solutions, with a focus on Asian-prevalent diseases.

Position Summary:

We are looking for an experienced research scientist in biologics drug discovery to lead biologics projects and platform. The successful candidate will lead the planning and execution of drug discovery projects, coordinating among different scientific disciplines to implement strategic initiatives, monitor the progress of discovery projects and address any development bottleneck. The role also involves facilitating interactions with internal teams, external partners, and key stakeholders.

Project leadership:

• Lead 1-2 biologics project/platform, including scouting, nominating and driving the projects to meet key milestones
• Collaborate cross-functionally to align project resources and execution, proactive in proposing innovative solutions in the development of biologics therapeutics.
• Plan and execute complex research experiments on a need basis.
• Apply biologics technologies to enhance project innovation and efficiency.
• Partner with external academic and industry collaborations to advance new partnership opportunity.

Function innovation and continuous improvement:

• Active contribution to the function group by offering technical expertise in biologics drug discovery and development.
• Identify and evaluate new process improvement, technologies and approaches and effectively apply to project.

Job Requirements:

• PhD in in pharmaceutical sciences and related biomedical disciplines.
• A minimum of 5 years relevant postdoctoral or pharmaceutical industry experience with a strong focus on biologics drug discovery.
• Demonstrated ability to manage multiple parallel projects.
• Demonstrated capacity to conceptualise, strategise and execute research plans.
• Strong written and verbal communication skills, with an ability to interpret and explain complex data.
• Self-motivated, fast learner with strong organization skills.
• Good interpersonal skills, team-orientated with strong collaborative spirit in building relationships internally and externally.

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 Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an experienced and proactive Genomics and Data Analytics Core (GeDaC) Facility Manager to lead and expand our team at Cancer Science Institute of Singapore. The ideal candidate will bring together a scientific background, business development expertise, and operational leadership skills to drive growth, build partnerships, and ensure the financial sustainability of GeDaC. This position will be key to advancing our facility’s presence in the genomics and data analytics fields, particularly in supporting cancer research initiatives. This is a unique opportunity to shape the future of bioinformatics research through a cutting-edge core facility. If you are a passionate and motivated individual with a strong business acumen, we encourage you to apply.

Strategic Leadership and Operational Oversight:

• Lead the day-to-day operations of the GeDaC facility, ensuring high-quality service delivery and operational efficiency.
• Develop and implement strategic initiatives to enhance GeDaC's impact within the Cancer Science Institute and across Singapore’s research community.
• Identify and address operational bottlenecks and areas for improvement, optimizing workflow to increase productivity and client satisfaction.

Marketing and Business Development:

• Create and execute a comprehensive marketing plan to promote GeDaC’s genomics and data analytics services, targeting both academic and industry partners.
• Establish and maintain relationships with key stakeholders, including principal investigators, research labs, healthcare professionals, and corporate partners.
• Conduct market research to stay abreast of advancements and emerging trends in genomics and bioinformatics, using insights to inform service offerings and identify new revenue opportunities.
• Represent GeDaC at conferences, workshops, and networking events, showcasing the facility’s capabilities and building a strong client network.

Financial Management and Revenue Growth:

• Develop and manage the facility’s budget, monitoring revenue and expenditure to ensure financial sustainability.
• Lead contract negotiations with clients and vendors, setting pricing structures that reflect market value and service costs.
• Track service utilization and generate periodic performance reports, using data to drive business strategies and make informed decisions about resource allocation.
• Oversee billing, invoicing, and collection processes, ensuring timely and accurate payments.

Product Development and Client Relations:

• Collaborate with scientific and technical teams to develop new services and products that meet the evolving needs of the genomics and data analytics research community.
• Engage with clients to understand their research objectives, providing tailored solutions and ensuring high levels of satisfaction.
• Act as the primary point of contact for client inquiries, addressing concerns promptly and fostering long-term partnerships.

Qualifications

• At least Master's Degree in Genomics, Bioinformatics, Data Science, or a related field, with a strong foundation in cancer genomics or biomedical research.
• Proven experience in business development, marketing, or management roles within a scientific or technical services environment, preferably in core facilities or research institutes.
• Demonstrated ability to create and execute business strategies that drive growth and financial sustainability.
• Strong leadership skills with a proactive and collaborative management style.
• Deep understanding of genomics, bioinformatics, and data analytics, with the ability to translate scientific capabilities into client-focused solutions.
• Proficiency in budgeting, forecasting, and revenue tracking, with a track record of managing financial performance.
• Excellent written and verbal communication skills for engaging diverse audiences, including researchers, clinicians, and corporate clients.
• Forward-thinking with the ability to foresee industry shifts and adjust strategies accordingly.
• Committed to providing exceptional service and fostering long-term client relationships.
• Ability to manage multiple tasks effectively while maintaining a high level of attention to detail.

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 Department of Biochemistry, Yong Loo Lin School of Medicine. Yu lab has been established since 2021 and the major mission is to develop new therapeutic strategies for atherosclerotic coronary artery disease and metabolic diseases. We use cutting-edge technologies including functional genomics, CRISPR/Cas9-based functional screening, and multi-omics to discover novel therapeutic targets and disease regulating pathways. Appointments will be made on a one-year contract in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

We are looking for candidates with extensive experience in cell biology, molecular biology, and mouse models. Preference will be given to candidate with prior in vivo mouse experience or prior experience with metabolism or cardiovascular research.

Qualifications

1. A PhD or equivalent in molecular biology, biochemistry, cell biology, or related field.
2. Extensive experience in molecular biology and mouse work as demonstrated by a first author publication in a relevant scientific journal.
3. Willingness to work with mice.
4. Excellent communication and teamwork skills.
5. The ability to work independently to design and troubleshoot experiments.
6. Positive attitude and strong motivation.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yu Haojie at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.