We are seeking a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The project focuses on creating a mesoscopic-scale "artificial atom" through superconducting levitation of a ferromagnetic particle. This levitated, freely precessing particle represents a system of correlated spins, capable of rapidly averaging quantum uncertainty. By leveraging this system, we aim to develop quantum sensors with sensitivities surpassing the standard quantum limits.

This position is based in A*STAR Quantum Innovation Centre (Q.InC). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Develop a hybrid motion tracking system integrating SQUID technology with squeezed light techniques.

Requirements:

• Ph.D. in Physics, Applied Physics, Precise Instrumentation, or related fields
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Proficiency in programming languages such as Python or MATLAB
• Strong teamwork and 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.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Scientist 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 application against infection.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro antimicrobial activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.

The candidate will be trained on project management and ideation of new studies aligning with the lab focus. They will also support the team in lab operation, safety oversight, and documenting experimental procedures and results.

Job Requirements

• Ph.D degree in microbiology, biomedical science, bioengineering, or any other related field
• Having background knowledge in AI and programming will be an advantage
• Highly motivated and passionate about scientific research
• Effective communication both verbally and in writing
• 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.

Job Description

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”)
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant position in Dr Mohammad Alfatah’s lab, part of Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on discovering anti-aging interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to and work closely with Dr Mohammad Alfatah to provide support in research projects with a specific focus on discovering chemical (drugs, natural products, metabolites, etc) and genetic anti-aging interventions. This includes assessing the effectiveness of potential compounds in various age-related disease models.

Main Duties and Responsibilities

1. Perform daily basic chemical and genetic high-throughput screening in yeast and human cells, molecular biology experiments related to DNA, RNA, protein and cell culture work.
2. Conduct literature searches, experimental plans, and data analysis independently and reliably.
3. Oversee the general management of the lab including managing inventories of chemical, cell lines and instruments.
4. Provide administrative support to the project, maintain communication and collaboration with other members of the research team.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

• Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline.
• Able to work independently and in a team as well, self-motivated with initiative and keen to learn new techniques.
• Previous experience in laboratory work, particularly in cell culture and in molecular biology techniques is preferred.
• Experience in bioinformatics, particularly with programming skills in Python and R, would be a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Mohammad Alfatah 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 Research Assistant position is available to investigate the role of epigenetic modifiers in rhabdomyosarcoma.

Qualifications

Self-motivated candidates with a recent Bachelor’s degree and experience in molecular biology and/or familiarity with bioinformatics are encouraged to apply.

Interested candidates should send their CV and names of three referees.

For more information, please visit our website:

https://medicine.nus.edu.sg/phys/lab/Tanejas_Lab/index.html

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 detail-oriented Research Assistant to join our team at the forefront of iPSC biobanking. The successful candidate will play a pivotal role in the collection, characterization, and maintenance of induced pluripotent stem cell lines, contributing directly to cutting-edge research initiatives in regenerative medicine, disease modeling, and drug discovery.

Responsibilities

1. iPSC Reprogramming

• Execute established protocols for the reprogramming of iPSC lines.
• Collaborate with researchers to further optimize workflow for reprogramming.
• Explore alternative workflows for reprogramming.

2. iPSC Culture and Maintenance:

• Execute established protocols for the culture and expansion of iPSC lines.
• Monitor cell growth, viability, and quality control parameters.
• Perform routine passaging and cryopreservation of iPSCs.
• Maintain accurate records of cell culture activities.

3. iPSC Characterization:

• Conduct immunocytochemistry, flow cytometry, and molecular biology techniques to assess pluripotency and differentiation potential of iPSC lines.
• Perform karyotyping and other cytogenetic analyses to ensure genomic stability.
• Collaborate with researchers to design and implement experiments for iPSC characterization.

Responsibilities

4. Biobanking Operations:

• Coordinate sample collection, processing, and storage according to standardized protocols.
• Label, track, and catalog iPSC samples in the biobank database.
• Implement quality control measures to ensure sample integrity and compliance with regulatory requirements.
• Assist in the development and optimization of biobanking workflows.

5. Data Management and Analysis:

• Compile and organize experimental data, including cell culture records, characterization results, and biobank inventory information.
• Analyze data using statistical methods and assist in the preparation of research reports and presentations.
• Contribute to the maintenance and updating of laboratory databases and electronic notebooks.

Responsibilities

6. Laboratory Support:

• Maintain cleanliness and orderliness of the laboratory.
• Assist in the procurement and organization of laboratory supplies and reagents.
• Support other members of the research team in experimental procedures and technical troubleshooting.

Qualifications

• Bachelor's in Biology, Biochemistry, Molecular Biology, or a related field.
• Hands-on experience in cell culture techniques, preferably with human pluripotent stem cells.
• Familiarity with basic molecular biology and cell biology techniques (e.g., PCR, Western blotting, immunocytochemistry).
• Strong organizational skills and attention to detail.
• Ability to work independently as well as part of a collaborative research team.
• Prior experience in biobanking or sample management is advantageous.
• Knowledge of relevant safety protocols and regulatory guidelines in cell culture and biobanking is desirable.

This position offers an exciting opportunity to contribute to groundbreaking research in iPSC biology and biobanking, with potential for career development and growth within our dynamic research environment.

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.

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 Barbaros Oezyilmaz and Dr Toh Chee Tat on for lab support, sample preparation and characterization under a project on Synthesis and application of atomically thin amorphous materials on the surface of 2D semiconductors as a protective and seed layers for other

The main responsibilities of the position include:

1. Synthesis of multilayer MAC films on the surface of 2D crystals, insulators and other substrates. Their analysis by Raman spectroscopy, AFM, Ellipsometry.
2. Test of the application of ML-AC as a seed layer for ALD grown insulators.
3. Perform impedance spectroscopy to probe dielectric properties of dielectrics deposited on the surface of MAC.
4. Data analysis and physical interpretation of the results.
5. Manage lab safety, equipment maintenance and operations.
6. Meet key deliverables for industry collaboration.

Qualifications

Qualifications / Discipline:

Bachelor's or Master's degree in materials science, microelectronics, or a related field.

Skills:

Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. One year hands-on experience in lab
2. One year internship/research assistant or any equivalent in lab
3. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
4. Experience with electronics and the use of clean room is desirable

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.

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

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

• Position: HSE Lead/Officer
• Location: Gul Road (company transport provided)
• Working hours: 5.5 days work week
• Salary (commensurate with experience): Up to $6,000 + Performance Bonus (Up to 6 months) + Flexi Benefits + OT pay (if required)
• Duration: Permanent
• Industry: Marine & Construction Engineering (Listed & MNC Company)

Main Responsibilities:

• Ensure provision of the Act and Regulations are complied with
• Promote safe conduct of work in the yard
• Liaise with WSHO or Safety Coordinator on the matter with regards to safety, health and welfare of people working in the yard
• Conduct Safety Induction Programme
• Ensure that appropriate personal protective equipment is used by the employees, contractors' workers and visitors
• Conduct inspection tours at worksite
• Report any unsafe conditions, equipment and housekeeping
• Apply permit to work system as required by the procedures and regulations
• Liaise with subcontractors’ safety supervisors with respect to safety of work undertaken by subcontractors
• Ensure that all records of safety equipment are in order and properly maintained
• Assist WSHO in the event of any incidents
• Any other ad-hoc duties assigned

Requirements:

• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only
• Minimum Diploma in Workplace Safety & Health/Engineering or related discipline
• Minimum 5 years of experience in marine shipyard operations
• Ensure compliance with all legal and regulatory requirements

Email to: [email protected] for more information.

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

• Position : Customer Support Officer (Smart Home/Technical Support) - Up To $4,500
• Location : East – Loyang
• Working hours : Monday to Friday | 9am to 6pm | Saturday 9am to 1pm
• Salary (commensurate with experience) : Basic Up to $4,500 + Performance Bonus + Annual Leaves + Medical Benefits
• Duration : Permanent
• Industry : Smart Home Appliances

Responsibilities:

• Responsible for processing of customer enquiry through emails and phone calls
• Liaise with customers on their service enquires
• Provide information to inquires about products and services to the customers and scheduling of appointments
• Ensure effective customer service by coordinating service requirements of the customer with other department as necessary
• Assisting to answer clients on smart home programming information

Requirements:

• Minimum of Higher Nitec & Above with at least one year of working experience
• Training on Smart Home Product & Programming will be provided
• Bilingual in English and Mandarin to communicate with Chinese speaking associate.

Email to: [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Chloe Ong

Senior Consulting Manager (APAC)

Reg no.: R22105510

EA No: 13C6684

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 Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

The successful candidate will play a critical role in supporting AIDF’s research efforts by maintaining AIDF’s IT infrastructure and enhancing the Institute’s IT capabilities. This job role will include:

• Optimisation and maintenance of AIDF’s servers, hardware, websites and database subscriptions to meet our core objectives
• Provide IT infrastructure and software systems assistance for AIDF colleagues and research partners
• IT support for research and office administration
• Event support: Help with IT set-up and other tasks as required

Qualifications

• Bachelor Degree in Networks and Telecommunication or related fields
• Knowledge of Basic Server Management a plus
• 2 years of minimum experience

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

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.

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

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 have the opportunity to develop unconventional ultrasound transducer drivers, receiver circuits for IoT and biomedical applications as well as cutting-edge high-speed analog circuits for advanced optical communication.

Role & Responsibilities

• Design and tapeout circuit blocks e.g. high linearity low-noise amplifier, variable gain amplifier, envelop detector, and high voltage driver for MEMS ultrasound transducers.
• Work together with team on system integration and demonstration.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Minimum 2 years of transistor-level analog circuit design experience
• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Design experience with high voltage BCD process 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

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.

The SingHealth Duke-NUS Global Health Institute (SDGHI) is an enabling platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (AMC). The Institute aims to address current and emerging health challenges across ASEAN member states and in other Asian countries. Working in collaboration with partners, SDGHI seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

We are recruiting a Research Assistant to support the Regional Collaborating Centre team that is responsible for setting up hubs in the region that aim to consolidate, coordinate and catalyse global health projects.

The selected candidate will be expected to work collaboratively across functional departments at Duke-NUS Medical School and SingHealth, and with key internal and external stakeholders. The incumbent should ideally be comfortable working in a matrixed team and be ready to work in a fast-moving, fast-changing and dynamic environment.

The responsibilities of the role are to: -

• Provide support to the grant management process, monitoring progress of research projects and grant utilisation
• Provide regular progress reporting of potential, new and ongoing global health projects.
• Contribute to project management, presentations and publications of global health research work
• Assist with literature review in various global health research projects
• Assist with managing and facilitating receipt of grants and donations and track their utilisation.
• Facilitate and coordinate meetings between Principal Investigators within the AMC and partnering institutions in the region.
• Support the organisation of visits by and to partnering institutions with SingHealth’s International Collaboration Office.

Job Requirements:

• Bachelor’s Degree in Health Sciences, Social Sciences or other related disciplines with an aptitude for research
• Minimum 2 years of relevant work experience. Entry level candidates may also be considered
• Knowledge in health sciences will be beneficial.
• Prior experience working with institutions in low and middle income countries, preferably in Asia, would be advantageous.
• Demonstrated ability to interact and work with stakeholders and team members across various functions and levels in the organisation.
• Highly motivated individual and able to work independently in a fast-paced multidisciplinary setting with strong organisational and management skills.
• A good command of written English is required for this role.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Yang Liu on conducting research under a project on “In-Context Learning for Scientific Problems”.

The main responsibilities of the position include:

1. Develop AI algorithms for the research project
2. Implement the algorithms with Python
3. Train AI models and conduct numerical experiments
4. Write papers

Qualifications / Discipline:

- Bachelor’s degree in Mechanics, Computer Science, Mathematics, or other related disciplines

Skills:

- Programming with Python and PyTorch, LaTeX

Experience:

- Experience in conducting research on computational methods will be preferred.