Responsibilities:

-Perform daily Customer Service support via email, ticketing, phone calls.

-Work with CCN’s partners e.g. OCR, to improve accuracy and efficiency in the process.

-Manage existing, new and potential customers on any demo, trial and implementation of TradeNet services, including any enhancements needed to the TradeNet application.

-Supervise, guide and train on CCNhub, Cube, and other services, to both internal team and external customers.

-Assist in helpdesk support for CCN suite of products and services, may require some Onsite support.

-May require working after office hours and on weekends for urgent issues(additional allowance will apply)

Requirements :

• Possess a diploma or equivalent
• About 1-2 years working experience in a customer support environment
• Have good verbal and written communication skills
• Be PC literate
• Knowledge of or experience in the Logistics or Air Cargo industry will be an added advantage.

Executive/Senior Executive, NUHS Education & Research Office (2 years contract)

Job Responsibilities:

To leverage data-driven insights and analysis in support of the overall mission and objectives of NUHS, aiming to improve patient care outcomes, enhance operational efficiency, drive innovation, and advance research, thereby contributing to the DataIU's mission of enhancing data-driven healthcare delivery, operational excellence, and research advancement.

You will be responsible for the following areas:

1. Data Sourcing and IntegrationAcquire, organize, and integrate diverse healthcare data sources, including EHRs, claims data, clinical trial data, and public health surveillance data.
   Ensure accuracy and consistency of data by applying knowledge of coding systems like ICD-10 and utilizing SQL for data querying and manipulation.
   Performance Measure: Timeliness and completeness of data integration, accuracy of data queries, and adherence to coding standards.
   
2. Statistical Analysis and Insight GenerationConduct advanced statistical analysis, data mining, and visualization techniques to uncover trends, patterns, and insights within healthcare data.
   Utilize statistical software packages (e.g., SAS, R, Python) and data manipulation libraries (e.g., pandas, dplyr) to perform analyses.
   Performance Measure: Accuracy and reliability of statistical analyses, effectiveness of visualization in conveying insights, and ability to derive actionable conclusions.
   
3. Reporting and CommunicationDevelop clear and concise reports, dashboards, and presentations to communicate findings and insights to stakeholders.
   Ensure reports are tailored to the audience and adhere to ethical and privacy standards regarding patient confidentiality and data security.
   Performance Measure: Clarity and relevance of reports, effectiveness of communication in conveying insights, and stakeholder satisfaction with reporting.
   
4. Continuous Improvement and ComplianceContinuously improve data management processes, data quality assessment methods, and reporting methodologies.
   Stay updated on ethical considerations and privacy regulations related to healthcare data handling, ensuring compliance with standards such as HIPAA.
   Performance Measure: Implementation of process improvements, adherence to ethical and regulatory standards, and contribution to overall organizational efficiency and compliance.
   

Job Requirements:

• Professional degree in quantitative field such as statistics, mathematics, computer science, epidemiology, public health, or related fields.
• Proficiency in statistical analysis, data mining, and data visualization techniques. Experience with statistical software packages such as SAS, R, or Python for data analysis and manipulation.
• Database Skills: Knowledge of SQL for querying and analyzing healthcare databases.
• Ability to interpret and analyze healthcare data to identify trends, patterns, and insights. Experience in preparing reports, dashboards, and presentations to communicate findings to stakeholders.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with data manipulation libraries (e.g., pandas, dplyr) and visualization libraries (e.g., matplotlib, ggplot2).

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a mobile app for visualising geospatial data.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, 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 Fellow 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 the areas of computer networking and distributed systems.

Qualifications

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Good communications skill in both written and verbal English

Research Scientist (Power & Energy Systems Modelling)

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

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

Key requirements

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

Preferred requirements and experience

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

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

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 Centre for Water Policy (CWP) has an opening for a Senior Research Fellow, specializing in water policy. The successful candidate will contribute to IES’ mission to advance “fit for purpose” policy design for Singapore, Southeast Asia, Asia and the world. We seek applicants who are specialists in water resources management, and who hold a PhD in policy-related disciplines including applied-economics and behavioural social sciences.

Job Responsibilities

• Design, implement and lead research projects under CWP’s research programmes.
• Oversee research projects under CWP and provide guidance to junior researchers.
• Prepare high quality research papers on topics related to water and sustainability.
• Contribute to grant and institute-level reporting requirements and funding proposals/applications.
• Engage with water focused policy and research communities in Singapore, Asia, and around the world.
• Provide support for IES’s events and outreach activities.

Requirements

• PhD in Social Science, Economics, Environmental Economics, Public Policy, or a related field.
• Excellent quantitative analytical skills with knowledge of econometrics.
• Proficiency in statistical software such as STATA and R.
• Experience in managing research projects, writing project reports, and conducting survey/focus groups.
• Preference for those with good and relevant publication records / working papers.
• Excellent verbal and written English.
• Good time management skills and ability to multi-task effectively.
• At least 10-15 years of relevant research experience

Job Responsibilites

The Institute for Environment and Sustainability at the Kee Kuan Yew School of Public Policy is dedicated to conducting cutting edge “fit for purpose” policy research, training, and outreach with which to help address Asia’s most pressing sustainability challenges. The institute was created following the growing recognition among governments, the private sector, and non-profit organizations that the task today is no longer about what to do, but how governments, the private sector, and non-profit organizations might apply policy and governance innovations with which to achieve their sustainability goals. The Institute conducts its mission through four thematic areas: climate and energy; biodiversity and land use; water and oceans; and sustainability livelihoods. These are supported by our emerging Climate Policy Design Lab (CPDL), our Center for Water Policy (CWP) and targeted programs spanning trade and the environment, financial innovations, and market mechanisms.

We are looking for a candidate for high-speed analog integrated circuit design. This candidate will contribute to the development of high linearity silicon photonics modulators for 6G and beyond communication systems. 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. wideband linear low-noise amplifier and transimpedance amplifier with a focus on circuits interfacing with silicon photonics elements
• 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 Electronic 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 IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Good communication skills (both written and spoken)
• Able to generate high quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description & Requirements

• Assist with environmental briefing and training of all levels of employees on the project.
• Promote awareness of environmental infringement prevention and damage control to all levels of employees.
• Advise the Safety Manager/Project Team on:

1. Preventing all environmental pollution.
2. Further improvement in existing sound working methods to control pollution.
3. Legal requirements affecting environmental, health and welfare.
4. Provision and use of protective clothing and equipment.
5. Potential environmental aspects & impact on new contracts before work starts and on the site safety organization.
6. Methods of prevention environmental pollution arising from new developments.

• Carry out site surveys, in association with the project management team, to ensure regular environmental inspections of site activities are carried out and submit the relevant environmental control reports to the National Environment Agency.
• Determine the cause of any incident and recommend means of preventing recurrence
• Supervise the recording and analysis of information on infringements, damage and loss, assess incidents trends and review overall safety performances
• Train subcontractors in Leighton safety procedures
• To develop and implement the Site Environmental Control Programme
• Monitor the use, disposal and reporting of Hazardous Materials, and maintain the required Hazardous Materials Register
• Degree in Bachelor Science / Environmental Control Officer Course
• 4 years safety experience in construction as ECO
• Must be registered with National Environmental Agency (NEA)
• ISO14001:2004 documentation experience
• OSHAS 18001:2007
• Valid registration with the National Environment Agency
• Operational experience in the application of environmental management principles in the construction related industry
• Fulfil training requirements of the National Environment Agency as the Registered Environmental Control Officer
• Experience in investigating and reporting environmental incidents

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.

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.

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.

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

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

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

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

Qualifications

- At least a PhD degree from a good university

- Good publication record

- Fluent in written and spoken English

- Ability and dedication to do world-class research

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

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

Job Requirements

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

Other Requirements (e.g. Skills, Competencies)

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (will) will work closely with the Principal Investigator (PI) on reinforcement learning control and learning-based control, which leverage the advantages of both deep learning and conventional controls with theoretical guarantees. The RE will develop AI-assisted planning and control algorithms that enable intelligent and robust autonomous operations and multi-agent collaborations. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The research project involves (1) theoretical research in control, learning, and optimization, (2) developing new control and learning algorithms, and (3) 3D Simulations and real hardware experiments.

The candidates should have a Bachelor’s or Master’s degree from a reputable university, with expertise in control theory, reinforcement learning theory, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) will be a big plus.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, autonomous driving, and/or UAVs.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Use suitable techniques for recruiting
• Use recruiting strategies to attract candidates
• Responsible for the whole recruiting phase
• Assigning the best candidates to various roles
• Plan and organize job fairs to help boost company brand among candidates
• Conduct career advisory workshops/seminars to help job seekers understand the job market better
• Assist with any other HR administrative tasks

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

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

Responsibilities:

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

Requirements:

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

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

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.

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

Job Purpose

At SIT's Professional Officers Division (POD), we bring our rich industry experience and technical skills into the workplace to create a conducive environment where applied learning and innovation take place.

Reporting to the Team Lead of Resource Planning and Management, the incumbent will work with Team Lead to oversee the end-to-end software management lifecycle which includes the management of software acquisition, compliance, maintenance renewals, life cycle planning and costing.

Job Responsibilities

• Lead or co-lead innovation projects with industry.
• Involve in customer engagements, includes gathering of systems requirements and formulate scope.
• Involve in the full development life cycle, i.e., design, development, and testing
• Generate technical proposals, design documents, test documents.
• Manage laboratories and equipment to support academic programmes and applied research.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements

• A degree in Computer Science or related Engineering discipline. Possessing a master’s degree, PhD degree and relevant certifications will be an added advantage.
• Experienced in developing machine learning and generative AI solutions for deployment into production.
• Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras)
• Strong programming skills in Python/Java/Javascript and full stack development.
• Knowledge in LLM, RAG, LangChain would be advantageous.
• Knowledge of cloud computing and AI deployment (AWS, Google Cloud, Microsoft Azure) would be advantageous.
• Excellent problem-solving, analytical, and creative thinking skills.
• Work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline.
• At least 2 years working experience in AI/ML software development.

Job Description:

We are looking for a highly motivated computational scientist with a deep understanding of chemistry/cheminformatics and structural biology to develop new AI models for ligand discovery. You will be working on a large collaborative project to build up A*STAR’s computational drug discovery capabilities. The candidate is expected to be familiar with the latest generative models. Familiarity with molecular docking programs is a plus.

Job Requirements:

• PhD degree in life sciences, chemistry, computational biology, or a related discipline
• Passion for science and research
• Highly motivated
• Proficiency in the use of machine learning frameworks (e.g. PyTorch, TensorFlow)
• Experienced in developing generative models
• Strong knowledge of chemistry/cheminformatics and structural biology
• Able to work independently and as part of a team
• Excellent written and oral communication skills

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

The Institute of Materials Research and Engineering (IMRE) is a research institute of the Agency for Science, Technology, and Research (A*STAR) located at One-North in Singapore. We are looking for a researcher with experience in non-linear optics to help develop atomic spin gyroscopes and optical quantum memories based on atomic vapors. The successful candidate will work in a collaborative team of research engineers and scientists with complementary skill sets to investigate quantum sensing and quantum information processing applications. The candidate will be expected to help assemble experimental setups involving second harmonic generation of light within optical cavities and can expect to teach and learn from others with different backgrounds. He/she will also be expected to help run experiments involving gyroscopes and/or optical quantum memories, perform data analysis, write papers, and help supervise less experienced team members.

Job Requirements:

• PhD in physics, optics, or a related field
• Candidate with relevant working experience or PhD training experience are welcome to apply
• Experience in second harmonic generation of light using bulk non-linear crystals.
• Familiarity with laboratory equipment for quantum optics experiments, including lasers, optical components, and detectors.
• Experience with optical alignment of cavities is advantageous
• Ability to communicate and work well in a team.
• A passion and zeal for learning and trying out new ideas in lab.
• Ability to independently plan and execute research work
• Possess good critical thinking and problem-solving skills.
• Familiarity with Python is advantageous.

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

Job Overview:

The Institute of Materials Research and Engineering (IMRE), part of the Agency for Science, Technology, and Research (A*STAR), is looking for a research scientist who is experienced in nonlinear and integrated photonics. The successful candidate will be part of a dynamic team of researchers developing integrated photonics devices for quantum technologies, including on-chip quantum-light sources, controllers, single-photon detectors, and heterogeneous integration with other functional devices. This work will lead to exciting applications in cutting-edge technologies such as quantum information processing and photonic computing.

The roles of the successful candidate will include:

• Design and fabricate integrated quantum photonic devices
• Construct optoelectronic measurement setups for device testing
• Characterize fabricated devices and perform nonlinear/quantum optics experiments
• Analysis and presentation of scientific data

Job Requirements:

• PhD degree in physics, applied physics, electrical engineering, material science & engineering, mechanical engineering, or any other relevant disciplines.
• At least 5 years of relevant experience
• Experience in experimental optics and photonics, especially in quantum/nonlinear optics
• Familiarity in characterization of photonics devices, including laser systems, photonic probe stations and test setups, and the measurement of quantum light
• Experience in micro/nano-fabrication is highly desired
• Ability to program (especially Python) lab equipment for testing automation
• Ability to independently plan and execute research work
• Ability to communicate well and work closely with team members

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 Overview:

The Institute of Materials Research and Engineering (IMRE), part of the Agency for Science, Technology, and Research (A*STAR), is looking for a research specialist to work on integrated quantum photonics. The successful candidate will be part of a dynamic team of researchers developing integrated photonics devices for quantum technologies, including superconducting nanowire single-photon detectors (SNSPDs), nonlinear/quantum photonic components based on thin-film lithium niobate, and heterogeneously integrated functional devices. This work will lead to exciting applications in cutting-edge technologies such as quantum information processing and photonic computing.

The roles of the successful candidate will include:

• Fabrication of integrated photonic devices, including performing lithography, etching, material growth, and imaging in cleanrooms
• Optimization of growth and fabrication process for superconducting detectors
• Performing basic optical/electronic characterization

Job Requirements:

• Bachelor's or master’s degree in electrical engineering, physics, applied physics, mechanical engineering, material science, or other relevant fields
• At least 5 years of relevant experience
• Experience in (or strong willingness to learn) nano/micro-fabrications
• Basic knowledge of optics and photonics
• Basic programming skills (e.g., Python)
• Hands-on experience in the characterization of electronic/photonic devices is desirable
• Ability to communicate well and work closely with team members

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.