Wide Band Semiconductors group of IMRE is looking for a highly motivated Senior Scientist for a project related to SiC bulk growth. The project aims to develop SiC boules using both resistive and inductive heating technologies. The candidate will work together with the wide bandgap R & D team to perform materials growth and characterization.

Main Responsibilities:

• To grow SiC bulk crystals for the development of 4H-SiC substrates
• Develop thermal models and growth iterations to reduce defect density in bulk SiC
• Project execution with team work to meet target deliverables from various types of growth furnaces
• Provide technical inputs to metrology team for analysis of wafering results and preparation of reports

Job Requirements:

• PhD in Physics/Materials Science/Engineering, or related fields with 5 years of experience
• Experience in bulk crystal growth, Epitaxy of SiC or other wide bandgap materials
• Prior hands-on experience on crystal growth processing equipment, data acquisition and analysis, good communication skills

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

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 spin and energy lab at National University of Singapore invites applications for research fellow positions in spintronics. In this position, you will carry out experimental research on novel spintronic devices for memory and computing applications.

Qualifications

• Possess a recognized PhD degree in physics or nanoelectronics.
• 4-5 years of experience in experimental device/spintronics research.
• Experience in electrical transport measurements and thin film deposition/characterization.
• PCB based system engineering and FPGA control
• Open to fixed-term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated candidate as a research fellow in the Quantitative Proteomics Core in collaboration with the Kappei lab at the Cancer Science Institute of Singapore (CSI). Our team addresses research questions on nucleic acid-protein interactions with quantitative mass spectrometry, cell biological and genetic approaches applied to cancer research and we further support research activities at CSI as part of the Quantitative Proteomics Core with quantitative proteomics solutions to study protein expression, protein interactions as well as post-translational modifications.

Proteins are the functional agents in cells, yet the systematic global characterization of their expression and spatial distribution has largely remained limited to the analysis of RNA as a proxy. To close this gap, we have recently expanded the Quantitative Proteomics Core to Clinical Proteomics applications with dedicated instruments including a timsTOF fleX mass spectrometer that allows for dual LC-MS/MS and MALDI imaging analysis. The research fellow will develop innovative workflows for both untargeted and targeted spatial protein imaging applied to the analysis of cancer tissues. We are offering a position in a stimulating, diverse and international research environment as well as the opportunity to gain expertise in a highly demanded technology using state-of-the-art instruments.

Qualifications

Requirements:
• PhD in life sciences, chemistry, medicine or related fields
• Strong background and working knowledge of basic molecular and biochemical techniques
• Excellent communication skills and good team spirit
• Ability to solve problems independently
• Penchant for method development
• Strong publication record
• Preference will be given to candidates with
o Experience with mass spectrometry (sample preparation and instrument operation/maintenance)
o Experience with image analysis and/or histology

Applications should include in a single PDF a 1-page cover letter, curriculum vitae and the names and contact information of at least 2 professional references.

Further information on the Cancer Science Institute of Singapore as well as working at CSI can be found on our website: www.csi.nus.edu.sg/web/careers/

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 Dr. Xinwei Li on computational and experimental optics under a project focusing on laser control of charge density wave systems.

The main responsibilities of the position include:

1. Numerical modeling of charge density wave systems and semi-quantitatively estimate the effect of laser excitation.

2. Construct optical instruments to search for signatures of laser control of charge density wave materials.

Qualifications

• Qualifications / Discipline: B.Sc. in Physics or related areas

• Skills:

(1) Numerical skills for simulating charge density wave materials

(2) Experimental techniques of working with optical setups and lasers

• Experience: Prior working experience as a research assistant would be a plus

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 Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

The MBI is currently inviting applications from outstanding candidates for the Senior Research Scientist position. Particularly, the MBI seeks applicants with a commitment to both independent and collaborative interdisciplinary research in the area of mechanical and dynamical processes in tissue growth and morphogenesis.

Qualifications

Relevant experience in the study of tissue growth and morphogenesis, or mechanobiology in general, is highly desirable, as is an established track record in group leadership, mentoring, grantsmanship, and high impact publications. The successful candidate is expected to carry out research that complements and synergises with the core expertise of research currently being carried out in MBI and NUS. The successful candidate is also expected to establish collaborative, multidisciplinary research projects that actively integrate and leverage the expertise of principal investigators at MBI.

Purpose: This position seeks to recruit an experienced research engineer to assist in developing new sustainable methodologies for chemical breakdown of waste plastics.

Job Responsibilities:

• The researcher will be involved in and contribute actively to waste plastics upcycling research, including but not limited to the following:
• Assist in synthesis and characterisation of homogeneous and heterogeneous catalysts and assist in reaction screening
• Be in charge of essential research equipment and maintennance
• Assist in training and mentoring staff, interns and students as and when required
• Curating and managing experimental data, and assist in preparation of reports, presentations, technological disclosures and manuscripts

Job Requirements:

• MSc in Chemistry or equivalent with at least 3 years experience
• Familiar with chemical synthesis and routine/ essential characterization techniques
• Strong communication and interpersonal skills and ability to work cohesively in a team whilst sharing resources
• Strong interest to learn about new technologies
• Excellent organizational skills including attention to details
• Willingness to learn, with adaptability and flexibility to take on required/necessary tasks beyond the job description

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.

Key Responsibilities :

• Ensure Accounts Receivables are updated daily into the system and all documents is properly filled.
• Monitor and follow up with customers to ensure timeliness and effectiveness in collection and meeting of collection targets.
• Analyze customers’ payment pattern and trend.
• Ensure month end closing on Account Receivables are as scheduled.
• Conduct regular credit control reviews of key customers.
• Weekly reporting and meeting with the team to resolve any AR related issues.
• Prepare Debtor Aging Report, Debtor Statement, and other reports as deemed necessary.
• Follow up with Sales Team members on verbal orders.
• Undertake any other task as and when assigned.

Job Requirement :

• Diploma in Accounting / Business Administration
• Strong analytical skills and the ability to take initiative and prioritize
• Willing to work in fast paced and multi-task environment
• Good Microsoft Excel skills.
• Ability to meet deadlines and take-on new tasks and eager to learn

Senior Scientist for Advanced Photonics

As part of IME’s Photonics & Sensors Department, the candidate will take the lead for the development of advanced photonics integration. This could include but not limited as photonic heterogeneous integration by bring various best-in-class materials into silicon wafer, electro-photonics integration, etc. You will work closely with an excellent multidisciplinary team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration capabilities with 8-inch and 12-inch facilities, with emphasis on photonics heterogenous integration.
• Design and fabricate various advanced photonics components and integrated circuits aiming for next-generation photonic applications.
• Design of Experiments (DOE) for both design and process margin checking and control.
• Process metrology data taking, 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 photonics integration.
• Hands-on experience in photonic simulation using various electrical / photonics design software.
• Strong communication, industry awareness, and problem-solving skills.
• Minimum 5 years project management skill.
• Strong self-motivation and interest in the next-generation photonics technology development.
• Industry experience is a plus.

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

We are looking for a self-motivated candidate with expertise in high performance digital design, DSP and mixed signal modeling join our cryogenic CMOS-based quantum control project. This candidate will work closely with our digital and analog design team as well as with the local physics and material designers to develop low-power, high fidelity and highly scalable control and read-out SoC for superconducting qubit-based quantum computing applications.

Job Description:

· Digital IC Design and system-level exploration:

o Lead and contribute to co-optimization between on-chip memory and DSP design and analog front-end (i.e. DAC, BPF, Mixer, LNA and ADC) to ensure high quantum control/readout as well as to optimize power consumption per channel

o Emphasize system-level perspective in the design process, considering overall system architecture and functionality

o Apply a deep understanding of cryogenic temperature effects on digital ICs and implement design strategies for optimal performance in low-temperature environments

o RTL implementation for custom circuit design using Verilog/SystemVerilog with focus on DDS, Filter and Error Correction Code

· Simulation, Verification, and Implementation:

o Conduct thorough simulation and verification of mixed signal designs to validate quantum control fidelity and digital-analog interface throughput

o Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration

o Perform timing analysis and collaborate with the team to optimize designs for timing closure

• Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II
• Collaborate closely with cross-functional teams, including hardware and software engineers, to seamlessly integrate digital ICs into the overall system architecture
• Prepare detailed design documentation, including specifications, test plans, and reports
• Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues
• Bring creative and innovative solutions to design challenges. Stay abreast of industry trends and emerging technologies
• Test and verify fabricated chip using FPGA and other lab equipment such as logic analyzer and oscilloscope

Requirements: Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

Job Profile Summary - Research Associate

This role designs, plans and conducts biological experiments based on cell culture techniques and molecular biological analyses within the Biological Evaluation group of the Evonik Skin Institute. It also facilitates in vitro claim substantiation for new product developments and customer projects for the Personal Care market. The holder of this position supports in research of new methods and techniques to strengthen the testing portfolio of the Evonik Skin Institute.

RESPONSIBILITIES

Design of experiments:

• Independent study of literature, based on this independent evaluation of cell culture studies with molecular biological analyses
• Independent research of technical literature to identify and introduce new protocols to improve existing processes and support new product development and customer projects
• Support of safety trainings together with the laboratory manager

Experimental procedure:

• Independent execution of cell culture studies with molecular biological analyses on the basis of very good knowledge of complex biological experimental procedures and molecular biological methods
• Independent development and optimization of new analysis methods

Experimental evaluation:

• Independent evaluation of cell culture studies with molecular biological analyses and conclusion for further studies
• Data analysis and data interpretation
• New cell culture method development based on the experience of existing ones
• Preparation of test reports for internal and external partners/customers in English
• Presentation of the results in technical meetings in English
• Complete and immediate documentation of the tests carried out and the results obtained in appropriate format

Additional:

• Assignment of project management tasks in product development and customer projects
• Support in communication with customers
• Collaboration with other departments and functions (Applied Innovation, Product Lines, Biotechnology Group)
• National and international assignments within the framework of projects
• Technical guidance of several laboratory employees
• Support in training courses and laboratory tours for internal and external customers

REQUIREMENTS

• Bachelor or preferably Master of Science in Biology, Biotechnology, Biochemistry or comparable
• 3-5 years professional experience preferably in the cosmetic market or skin research
• Special knowledge and experience in biological processes, especially in human skin, cell culture techniques, molecular biological methods, mathematical and statistical evaluation of biological data
• Safe handling of MS 365, esp. Teams, PowerPoint, Excel, Outlook, SharePoint
• Very good written and spoken English skills
• Strong communication skills as well as the ability to work in a team
• Independent way of working, flexibility
• Reliability and willingness to learn

Dear valued applicants, thank you very much for your interest in working at our company. Please note that only shortlisted candidates will be notified. Thank you for your kind understanding!

Responsibilities:
1. The candidate will be required to perform on-wafer device testing, test data analysis & perform test measurement automation
2. The candidate should have hands-on experience in using an oscilloscope, power supply, analyzer, probe station, and related test tools and data presentation
3. The candidate should know basic programming to instrumentation control using LabView, MATLAB, and other software such as Visual Basic, Python, C++, etc. as a plus
4. The candidate is required to have basic knowledge of semiconductor devices
5. Understanding the device"s electrical parameters such as current-voltage characteristics, resistance, capacitance, inductance, etc. will be an advantage

Qualifications:
1. ITE/Diploma with relevant sutdy (Electrical, Electronics, Computer Engineering, Physics, etc.) can be considered
2. Fresh graduate or 2-3 years experience in electrical instrument handling and system automation
3. Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done
4. Semiconductor industry experience is a plus

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 developing innovative RF and microwave systems for communication and remote sensing using RF and microwave components and system-on-chip (RFSoC).

As part of this project, we have a position open for a research engineer who has in-depth knowledge and experience with RFSoC, such as the Xilinx family of RFsoCs.

You will work in a team that designs and tests RF and microwave subsystems.

The following must be included in your resume:
• A summary of RFSoC projects that you were involved in.
• A list of the RFSoC design tools you have experience with.
• A list of programming languages you have experience with.

Qualifications

• Possess a Bachelor or Master degree in engineering
• Several years of experience with radio frequency system-on-chip (RFsoC) or similar technologies.
• Able to work independently and in a team.
• Available for travel for conferences, trainings, and meetings with companies.
• Open to fixed-term contract.

As part of IME’s Photonics & Sensors Department, the candidate will take the lead for the development of advanced photonics integration. This could include but not limited as photonic heterogeneous integration by bring various best-in-class materials into silicon wafer, electro-photonics integration, etc. You will work closely with an excellent multidisciplinary team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration capabilities with 8-inch and 12-inch facilities, with emphasis on photonics heterogenous integration.
• Design and fabricate various advanced photonics components and integrated circuits aiming for next-generation photonic applications.
• Design of Experiments (DOE) for both design and process margin checking and control.
• Process metrology data taking, 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 photonics integration.
• Experience in one or more topics listed below is strongly preferred: confocal microscopy, Raman spectroscopy, semiconductor carrier lifetime measurement, optical nonlinear device characterization, ultrafast optics, or other relevant fields.
• Hands-on experience in photonic simulation using various electrical / photonics design software.
• Strong communication, industry awareness, and problem-solving skills.
• Minimum 3 years project management skill.
• Strong self-motivation and interest in the next-generation photonics technology development.
• Industry experience is a plus.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition at the Department of Medicine, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with, the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient database management, and successful completion of research projects in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in computing server and storage administration (with support from external vendors), website maintenance, and neuroimage processing using automatic or semi-automatic scripts, and general IT management. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging software and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging and cognitive neuroscience. The research assistant/associate will have the opportunity to liaise and work with other collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with strong IT, engineering, computing, and/or programming skills
2. Excellent written, oral communication skills
3. Prior system administration (Linux/Mac OS) or programming experience (e.g., MATLAB, shell) is a plus
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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

Job Description:

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

- Develop and support bonding process capabilities, including vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, and temporary bonding for MEMS, silicon photonics, and advanced packaging applications.

- Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of wafer-to-wafer and die-to-wafer bonding.

- Participate in discussions with industry partners to align and develop the building blocks required for next generation advanced packaging platforms, including equipment capabilities.

- Participate as team member with process integration teams to actively support bonding process optimization and process troubleshooting for various industry and grant projects.

- Support preparation of competitive grant research project proposals and execution of these projects.

- File patents/know-hows on new development activities.

- Publish research findings in prestigious journals and conferences.

Job Requirement:

- PhD with specialization in Electronic / Microelectronics / Material Engineering / Material Science/ Chemistry / Physics or equivalent.

- 10 years of experience in wafer bonding technologies, either in an academic or industrial setting.

- Prior hands-on experience in wafer bonding with in-depth technical knowledge in atleast one or more bonding processes and mechanisms (vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, temporary bonding) is required.

- Knowledge of MEMS, silicon photonics, or advanced packaging technology platforms is preferred.

- Strong experimental design (DOE) and data analysis skills is preferred

- Good interpersonal skills 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 oral and 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 wafer bonding technologies and industry trends.

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg

About us – National Digital Identity (NDI)

Imagine citizens having a common and secure digital identity that will make their lives so much easier, and open doors to a plethora of services for them - allowing citizens to do everything from accessing health prescriptions, completing government transactions to starting a bank account through their smartphone.

The Singpass team builds Singapore’s digital identity system. This includes various personal authentication protocols, data sharing tools, and corporate identity systems through Corppass. The mission of the Anti-Fraud team is to minimize the number of compromised Singpass accounts, and the damage done with them. This includes live monitoring for suspicious login behaviour, longer term fraud analytics, and collaborating with partners take action on compromised accounts.

What you will be working on:

• Work with partners to understand the evolving problems and strategize about what data and techniques would be needed to solve them.
• Lead discussions with business stakeholders to establish business requirements, evaluate technical feasibility and data availability required.
• Work with large, complex datasets and applying advanced analytical methods to build machine learning models and deploy the most appropriate solution.
• Build and develop machine learning-based models e.g. recommendation engine(s), predictive models and track their effectiveness.
• Apply the use of machine learning techniques (e.g. deep learning, neural networks, etc..) to improve the current analytics capability.
• Provide inputs to the design and development of an integrated data model to allow analysis across multiple structured and unstructured datasets.
• Build and operate production systems together with engineers to serve these solutions.
• Share your expertise and mentor other data scientists.

What we are looking for:

• Possess strong analytical, conceptualisation, and problem-solving skills. Able to take broad, strategic perspectives, and when necessary, drill deep to understand business needs and challenges.
• Familiar with machine learning models for forecasting, classification, and recommendations.
• Strong in statistical programming tools (e.g. R, Python) and database languages (e.g. SQL)
• Experience in leading a data science team.
• Have excellent oral and written communication skills, along with the ability to pitch ideas and influence stakeholders at all levels on the adoption of analytics.
• Able to present technical concepts and results of technical analyses to non-technical audience effectively.
• Adaptable to dynamic operating contexts and able to work with multiple stakeholders across different teams.
• Strong people manager who can inspire, motivate, and grow the team and has strong organisation skills.
• Have passion for improving public service using analytics and data.

We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*.

We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.

*Subject to the nature of your job role that might require you to be onsite during fixed hours

Responsibilities:
1. The candidate will be required to perform on-wafer device testing, test data analysis & perform test measurement automation
2. The candidate should have hands-on experience in using an oscilloscope, power supply, analyzer, probe station, and related test tools and data presentation
3. The candidate should know basic programming to instrumentation control using LabView, MATLAB, and other software such as Visual Basic, Python, C++, etc. as a plus
4. The candidate is required to have basic knowledge of semiconductor devices
5. Understanding the device"s electrical parameters such as current-voltage characteristics, resistance, capacitance, inductance, etc. will be an advantage

Qualifications:
1. ITE/Diploma with relevant sutdy (Electrical, Electronics, Computer Engineering, Physics, etc.) can be considered
2. Fresh graduate or 2-3 years experience in electrical instrument handling and system automation
3. Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done
4. Semiconductor industry experience is a plus

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

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

Job Requirements

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

Other Requirements (e.g. Skills, Competencies)

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

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

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

Job Requirements

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

Other Requirements (e.g. Skills, Competencies)

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

We are looking for a self-motivated candidate with expertise in high performance digital design, DSP and mixed signal modeling join our cryogenic CMOS-based quantum control project. This candidate will work closely with our digital and analog design team as well as with the local physics and material designers to develop low-power, high fidelity and highly scalable control and read-out SoC for superconducting qubit-based quantum computing applications.

Job Description:

· Digital IC Design and system-level exploration:

o Lead and contribute to co-optimization between on-chip memory and DSP design and analog front-end (i.e. DAC, BPF, Mixer, LNA and ADC) to ensure high quantum control/readout as well as to optimize power consumption per channel

o Emphasize system-level perspective in the design process, considering overall system architecture and functionality

o Apply a deep understanding of cryogenic temperature effects on digital ICs and implement design strategies for optimal performance in low-temperature environments

o RTL implementation for custom circuit design using Verilog/SystemVerilog with focus on DDS, Filter and Error Correction Code

· Simulation, Verification, and Implementation:

o Conduct thorough simulation and verification of mixed signal designs to validate quantum control fidelity and digital-analog interface throughput

o Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration

o Perform timing analysis and collaborate with the team to optimize designs for timing closure

• Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II
• Collaborate closely with cross-functional teams, including hardware and software engineers, to seamlessly integrate digital ICs into the overall system architecture
• Prepare detailed design documentation, including specifications, test plans, and reports
• Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues
• Bring creative and innovative solutions to design challenges. Stay abreast of industry trends and emerging technologies
• Test and verify fabricated chip using FPGA and other lab equipment such as logic analyzer and oscilloscope

Requirements: Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

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 Dr Subhroshekhar Ghosh on mathematics of data under a project on "Complex structures in Statistical Physics and the Math of Data and Stochastic models with latent symmetries".

The main responsibilities of the position include conducting research.

Qualifications

• Qualifications / Discipline: PhD in Mathematics / Statistics with an emphasis on random matrix theory, statistical learning theory, understanding and applications of negative dependence in these fields.
• Skills: Familiarity with the Kadison-Singer problem, the geometry of polynomials and their interaction with theoretical computer science and machine learning. Coding skills in a standard ML programming language.

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 Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis.

The main responsibilities of the position include:

• Lead the research projects
• Train juniors (PhD or undergraduate students)
• Assist and help with lab management

Qualifications

Qualifications / Discipline: PhD in Chemistry or Chemical Biology

Skills: Organic Synthesis, Catalysis, Chemical Biology

Full Stack Infrastructure Developer

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

The responsibilities include but are not limited to:

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

Education and experience requirements:

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

Technical skills:

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

Soft skills:

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

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

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 developing innovative RF and microwave systems for communication and remote sensing using RF and microwave components and system-on-chip (RFSoC).

As part of this project, we have a position open for a research fellow who has in-depth knowledge and experience with RFSoC, such as the Xilinx family of RFsoCs.

You will work in a team that designs and tests RF and microwave subsystems.

The following must be included in your resume:
• A summary of RFSoC projects that you were involved in.
• A list of the RFSoC design tools you have experience with.
• A list of programming languages you have experience with.

Qualifications

• Possess a PhD degree or equivalent
• Several years of experience with radio frequency system-on-chip (RFsoC) or similar technologies.
• Able to work independently and in a team.
• Available for travel for conferences, trainings, and meetings with companies.
• Open to fixed-term contract.