Job Description & Requirements

Job Description

a) To report to the Manager or team leader as shown in the organization chart. He/she is responsible for the assigned or related project tasks and responsibilities.

b) The detailed duties and responsibilities include but not limited to the following:

i) Study and fully understand the ISO requirements, technical drawings, scope, contractual requirements and sub-contract agreements. Work with the consultants to resolve technical issues prior to construction.

ii) Submit to superior for feedback and concurrence on short or medium-term programmes and execute the works according to the detailed programme.

iii) Ensure that the works are carried out according to the approved drawings, quality procedures and EHS requirements. Managing the works with excellent housekeeping is a key focus.

iv) For quality management, the engineer is responsible to fully implement with the quality recordings, carry out result analysis and formulate action plans for continuous improvement.

v) Implement and maintain proper recordings to comply with EHS, quality, client and authorities’ requirements.

vi) Responsible for cost management so that the materials used for both temporary works and permanent works are not damaged or control the wastage within specified tolerance. Rework or abortive work which has serious time and cost impacts shall be avoided.

vii) Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

Job Requirements

- Diploma/Bachelor's degree in Mechanical Engineering

- Mininum 2 - 5 years' experience working in construction industry

- Have experience with HDB projects

Job Description

a) To report to the Manager or team leader as shown in the organization chart. He/she is responsible for the assigned or related project tasks and responsibilities.

b) The detailed duties and responsibilities include but not limited to the following:

• Study and fully understand the ISO requirements, technical drawings, scope, contractual requirements and sub-contract agreements. Work with the consultants to resolve technical issues prior to construction.
• Submit to superior for feedback and concurrence on short or medium-term programmes and execute the works according to the detailed programme.
• Ensure that the works are carried out according to the approved drawings, quality procedures and EHS requirements. Managing the works with excellent housekeeping is a key focus.
• For quality management, the engineer is responsible to fully implement with the quality recordings, carry out result analysis and formulate action plans for continuous improvement.
• Implement and maintain proper recordings to comply with EHS, quality, client and authorities’ requirements.
• Responsible for cost management so that the materials used for both temporary works and permanent works are not damaged or control the wastage within specified tolerance. Rework or abortive work which has serious time and cost impacts shall be avoided.
• Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

Job Requirements

• Diploma/Bachelor's degree in Civil & Structural Engineering
• Mininum 2 - 5 years' experience working in construction industry
• Preferably with HDB experience

UnaBiz is the leading IOT company in Singapore. HQ in Singapore, with office in Taiwan, Japan, France, Spain and providing IOT solution globally.

Join the company that supplies solutions to established local and MNC like SIA, CBRE, JLL, Certis, Engie, and many more!

Job Descriptions:

• Collaborate with clients to understand their needs and tailor solutions that align with their business objectives.
• Stay updated on industry trends, competitor offerings, and emerging technologies in the smart workspace domain.
• Conduct product presentations and demonstrations that showcase the features and benefits of our smart workspace solutions.

Job Requirements:

• Candidate must possess at least Bachelor's degree in Electrical, Electronics, Software, or related field.
• Excellent communication and interpersonal skills, with the ability to present to diverse audiences.
• Strategic thinker with the ability to identify market opportunities .
• Demonstrated ability to negotiate and close deals with a customer-centric approach.
• Strong organizational skills and ability to manage multiple priorities effectively.
• Self-motivated and results-oriented, with a proactive attitude toward problem-solving.

Rewards:

• Competitive salary
• Free lunch in office provided
• Free transport to/from office

We're seeking a seasoned Senior Software Engineer to design, build, and integrate complex software components. As a Senior Software Engineer, you'll play a key role in delivering quality solutions and harnessing emerging technologies to drive business value.

Key Responsibilities

• Design, develop, and maintain complex software components, adopting design thinking and customer-oriented approaches.
• Build prototypes and design system architectures to demonstrate technology opportunities.
• Collaborate with cross-functional teams to deliver enterprise engineering products in a fast-paced environment.
• Provide technical consultancy and expertise in the systems development process, contributing to defining technical specifications and configuring solutions.
• Stay updated on emerging technologies, such as Artificial Intelligence, to drive business value and enhance service experience.

Requirements

Essential Qualifications

• Relevant qualifications in Computer Science, Information Systems, Computer Engineering, or related fields.
• Good knowledge of Agile software development, DevOps, and cloud technologies.
• Experience in modern web and application technologies (e.g., Nuxt JS, Vue JS, Node JS, Next JS).
• Excellent analytical and problem-solving skills.

Nice to Have

• Past experience working with Ruby on Rails.
• Experience in architecting and developing solutions to complex and ambiguous problems.
• Strong communication and interpersonal skills.
• Past work experience in large software teams.

We are seeking highly motivated Semiconductor Laser Scientist/Principal Engineers to join our team and contribute to the development of innovative chip-based laser solutions for laser-to-silicon photonics applications. The successful candidates will play a pivotal role in driving the design, development, and optimization of on-chip semiconductor lasers for Si photonics applications, collaborating with external fabs, universities, and research institutes.

Responsibilities

• Develop innovative on-chip laser solutions for advanced silicon photonics applications
• Develop and optimize on-chip laser fabrication processes, including epitaxial design, wafer processing, and packaging
• Contribute to the development of innovative laser fabrication techniques and technologies, such as heterogeneous and hybrid integration of lasers with silicon photonics platforms
• Collaborate with external fabs and research institutes to ensure efficient and cost-effective fabrication of high-quality laser devices
• Collaborate with cross-functional teams to integrate lasers into complex photonic systems
• Support the transition of laser products from research to commercialization

Qualification

• PhD or Masters Degree in Science and Engineering, Physics, Applied Physics, or a related discipline in Optics and Photonics
• Minimum 2 years of experience in semiconductor laser development or a related field
• Strong understanding of semiconductor laser physics, device design, and fabrication processes
• Experience with laser characterization and measurement techniques
• Proficiency in using simulation tools (e.g., Lumerical) for laser design and analysis
• Knowledge of packaging and integration technologies for semiconductor lasers and silicon photonics
• Experience in laser-to-silicon photonics applications
• Experience in commercial Si Photonics product design and product engineering 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 looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• Open to Fixed Term Contract

Job Summary:

As a Senior Piping Engineer, he/she shall act as key person of the project as designated by Piping Department Manager and Lead Piping Engineer and performs the function inherent to this position. Responsible for the preparation of major piping layout, MTO sketch, and 3D CAD model review on piping system, equipment and structure, and interference detection. Has the technical responsibility for interpreting and evaluating stress/ vibration result, for reviewing piping layout, and piping information. He/She will also be responsible for reviewing piping engineering progress against approved schedule, for evaluating changes and taking corrective action when required, for providing technical guidance, and for organizing, executing and coordinating these responsibilities to ensure timely completion and meets project schedule and budget.

Duties & Responsibilities:

• To study ITB, project and design basis such as scope of work, overall project schedule, basic design data, client specification, client standard drawings, existingdrawings, and plot plan.
• To assist in planning and organizing piping engineering activities and manpower requirement for the project.
• To assist in developing piping engineering and design schedule, manpower requirements, manhour distribution and execution plan based on the scope of work and approved budget manhour/schedule.
• To coordinate piping design and engineering effort with other area Lead Engineers and disciplines of the project as directed by Piping Design Supervisor.
• To prepare piping information list and layout and document list following standard procedure created for the project.
• To prepare piping general specification inclusive of specification for piping arrangement, piping support standards.
• To interpret and evaluate stress/vibration analysis result and provides necessary recommendation on resolving the method of analysis.
• To develop conceptual routing, piping layout and piping information of major critical equipment of the project such as tower/column, airfin coolers, heaters, compressors and reactors, preferably in 3D CAD format.
• To check and review all work such as piping layout and information prepared by Engineers, 3D model, MTO, BQ and other deliverables of the project for compliance to project standards or specifications, applicable codes, contract requirements, quality standards and accepted engineering and construction practices.
• To provide field engineering support/advice towards piping installation and testing at construction site.
• To perform thefunction inherent to Piping Key Person as designated by Piping Department Manager and Lead Piping Engineer.
• To evaluate the performance of and provide counseling and guidance to members of the project.
• To prepare lesson learned upon completion of the project and recommend preventive actions to avoid recurrence on future projects to Piping Design Supervisor.
• To perform other tasks that may be assigned by the Department Manager and Lead Piping Engineer.
• To carry out engineering support work during the construction phase of the project.

Education:

• Bachelor degree of any four years BS Engineering course preferably Mechanical Engineering or at least ten (10) years related experience and/or training; or equivalent combination of education and experience.
• Minimum of ten (10) years in the field of piping design involving detailed design, stress evaluation, production work, 3D model review, and construction engineering support, three (3) years of which in a supervisory capacity.

Skills:

• Ability to use computer equipment and peripherals to carry out routine computing tasks.
• Good Knowledge of AutoCAD.
• Good knowledge of SP3D.
• Basic knowledge of 3D Model review through Naviswork or SPR.
• Interpretation of stress/vibration analysis report.
• Ability to read, analyze, and interpret common technical information, contracts reports and instructions.
• Ability to respond to common inquiries or complaints from clients and ability to write effective minutes of meeting and other related business communications.
• Strong leadership qualities and analytical and reasoning abilities.
• Good interpersonal and communication.

As a Non-Volatile Memory Quality & Reliability Assurance (NVM QRA) Engineer at Micron Technology, you will be responsible for performing formal Failure Analysis of customer reported failing devices via the Returned Material Authorization (RMA) process. You will be required to summarize lab analysis results at the electrical and physical level to identify root cause and establish an associated containment plan. In this role, you will have the opportunities to collaborate with various engineering and manufacturing stakeholders to evaluate and review Corrective Actions /Preventive Actions. You will provide documentation of the RMA findings and oversee the final customer report till closure. In addition, for the senior role, you will be asked to provide guidance and lead the team when solving complex unplanned deviations reported by our customers. Project management skills are necessary and the ability to make critical decisions that directly translate to quality and timely completion of the project is highly desirable. You will also be required to spearhead the sustaining efforts and keeping up to date on new product knowledge, as well as developing and mentoring new talents.

Responsibilities and Tasks

Perform Failure Analysis of Customer Returns

• Understand customer complaint of the memory component failure
• Initiate communication with Micron Customer-facing team for further details on customer complaint, requesting additional questions to provide best opportunity for successful analysis
• Perform bench level analysis including initial data image analysis/examination
• Perform Automated Test Equipment (ATE) analysis and interpret results
• Work with the appropriate engineering teams (e.g., Product Engineering, Product Yield Enhancement) to perform detailed fault isolation when electrical failure has been confirmed
• Summarize findings and submit for physical failure analysis (PFA).

Provide FA Reports for Micron Customer Facing Team for Communication to External Customers

• Summarize analysis at electrical and physical level into customer friendly formats.
• Work with the appropriate manufacturing Global Quality teams through the appropriate request systems for Root Cause and/or Corrective Action and a containment plan
• Identify potential risk to external customers
• Communicate with respective BU (Business Unit) on potential impact to customers
• Communicate FA updates through interim reports or during scheduled meetings with the customers.
• Provide formal FA Report with findings

Sustain Knowledge of Device Capabilities and Characteristics

• Keep up to date with latest Fab/ASM process technology
• Understand datasheet specifications for each device and the differences from previous technode.
• Comprehension of qualification data and potential impact to customer operation
• Stay up-to-date on common customer applications and usage model
• Partnering with customer support team to resolve ongoing customer issues

Qualifications and Experience

• Excellent verbal and written communication skills in English. The ability to communicate clearly and concisely both verbally and in writing is critical in this role.
• Good organization skills and ability to multitask and coordinate between multiple issue at any given time.
• Ability to work effectively in cross-functional teams and handle pressure situations in a professional manner
• Excellent problem-solving and analytical skills with strong attention to details.
• Familiarity with NexTest /Teradyne bench analytical tools, scripting in linux console will be an added advantage.

Candidates with 2-3 years of experience in the semiconductor industry as Product or QA engineer are preferred. Relevant experienced candidates will be considered for the Senior Role.

Education

A Bachelor or Masters Degree in Electrical Engineering or similar field of study.

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 (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. 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 candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, 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 of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• 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 algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, 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.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Develop Google Wallet Application (including GMSCore and the Wallet App) across phones and devices.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Perform full cycle feature development and launch.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with large scale application design and architecture.
• 3 years of experience with Android application development.
• 3 years of experience writing code in Kotlin or Java

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• Experience building for Android, particularly AOSP or GMSCore changes.

Job Description

• Understanding of Project Specifications, construction drawings and to ensure that all site activities comply with the regulations and client’s requirements
• Monitor site works to ensure the method statements and work procedure are strictly followed.
• Competent in carrying out supervision of structural works by identifying any non-conformity of contractor’s work site
• Ensure the Builder (incl. technical supervisors) executes the work in accordance to Consultant’s instructions
• Check drawings for discrepancies and highlight to Consultant, suggesting possible solutions to prevent delays
• Conduct quality inspections and quality control of materials used for the project
• To ensure proper documentation of site inspection records, safety records and approved /as-built drawings
• Maintaining and updating site records on progress of work, housekeeping and preparing reports
• Verify the contractors’ progress payment, claim in terms of work done and materials/equipment delivered and stored on site
• Witness all the inspection, testing and commissioning sessions performed by the contractors to ensure compliance with designs and specifications
• Report to project QP / Project Consultants Team on quality and progress
• Supervision of demolition of basement/foundation, ERSS construction and all other design works
• To manage & coordinate with the site supervisors (incl. RTO) with respect to C&S engineering works, architectural and M&E engineering works
• Possesses a complete understanding of local requirements, especially to comply with BCA's criteria for build-ability and safety assurance system
• To carry out regular site checks on Builder and ensure compliance on health and work safety in accordance with MOM
• To attend site, progress, variation and coordination meetings.
• Period: 12 months
• Start from: January 2025

Requirements:

• min. Degree in Civil / Structural Engineering or equivalent
• At least 8 years of relevant experience in supervision of Hospital and Architecture work
• Resident Engineer Certificate accredited by IES / ACES is a must, candidate without RE certificate need not apply
• Conversant in statutory code and requirements
• Good team player with strong interpersonal and communications skills essential

Please indicate project involved, expected salary and notice period required in CV.

We regret that only short-listed candidates will be notified.

For more posting, please refer to https://www.facebook.com/profile.php?id=61566487478500&mibextid=LQQJ4d

- Respond to network appliances connectivity issues and resolve any issues within the confines of the office.

- Collaborate with partners and service vendors to ensure that the proxy, firewalls, and network appliances stay operational.

- Responsible for configuration and maintaining Routers, Switches, Firewalls, Proxy/Web Isolation, Load-Balancer and Security Patches for equipment.

- Troubleshoot, provide resolution and raising tickets when networking equipment face issues.

- Create, maintain, and update documentation as it relates to configuration, process, and service records.

- Monitoring security measures for the protection of computer systems, networks, and information

- Responsible for providing customer support in solving all phases of complex information security related technical problems.

- Reviews and recommends information security solutions to customer problems based on an understanding of products/systems test results.

Key Requirements

- L2: 3 to 5 years’ experience in Network Infra Setup and Operations and at least 3 to 5 full delivery cycle implementations of relevant projects

- Required to work on wee hours, weekends, and public holidays.

- Knowledge of routing, switching, firewall, proxy/web isolation and data center operation.

- Able to work well in a team environment and use tools like Visio and Wireshark.

Key Responsibilities:

• System Development, Implementation and Support
• Evaluate requirements and analyze impact to the application
• Involve in design and development stage
• Involve in application setup and deployment
• Provide guidance towards testing phases
• Provide level 3 production support to relevant open systems applications 
• Coordinate with internal teams and vendors to resolve application and system issues
• Execute tasks related to project / change request / maintenance request

Key Requirements:

• Degree in Computer Science or equivalent
• 5 years of UNIX/LINUX/SQL/Korn Shell programming experience
• Hands-on experience on Oracle database, Webserver such as Apache, Java platform / J2EE and Java web container such as WebLogic, JBoss EAP, Tomcat
• Relevant working experience with good working knowledge in cards, loyalty, remote commerce, portals or digital payment domains.
• A good understanding of API frameworks will also be desired.
• Ability to multi-task and perform well under pressure

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 (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. 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 candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, 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 of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• 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 algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, 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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• Open to Fixed Term Contract

Senior Testing Engineer

As part of IME’s Photonics & Sensors Department, the candidate will take lead for the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices
• Manage photonics laboratory including facilities management, health and safety, equipment calibration, inventory and stocktake
• Take on procurement duties for laboratory equipment and consumables
• Prepare technical presentations for internal meetings

Qualifications:

• Bachelor’s degree in Physics, Electronic/Electrical Engineering or equivalent
• Experience in optical/photonics device testing
• Experience in experimental data acquisition and analysis
• Critical thinking and problem solving ability
• Strong skills in communication and providing technical presentations
• Values teamwork and fostering a collaborative spirit
• Skillset in programming or instrument automation is a plus

We're seeking a skilled Engineer, Quality Assurance to join our team in Singapore. Reporting to the Engineering Manager, you'll play a critical role in ensuring the quality assurance aspects of our technical areas.

Key Responsibilities

• Participate in our shift-left testing process and entire Software Testing Life Cycle (STLC) to ensure high-quality products.
• Collaborate with Product Managers to define, test, and validate product requirements.
• Design, execute, and automate tests for web applications and backend APIs, ensuring comprehensive coverage.
• Produce detailed test reports and serve as the sign-off authority for feature releases.
• Work closely with Development teams to identify and resolve issues, ensuring seamless collaboration.
• Contribute to the evaluation and adoption of testing automation frameworks.
• Mentor junior QA engineers, sharing expertise and promoting growth.

Essential Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• Excellent communication skills, with the ability to explain technical concepts to diverse audiences.
• 2-5 years of experience in web application testing and automation.
• Strong foundation in Software Engineering concepts and STLC life cycle.
• Ability to write test plans and test strategy documents.
• Good knowledge of API and Web testing, Networking, and Operating System concepts.
• Strong troubleshooting, debugging, and analytical skills.

Preferred Qualifications

• Experience with testing automation tools.
• Background working in product companies.

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 (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. 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 candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, 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 of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• 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 algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, 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.

Key Responsibilities:
Provide day-to-day technical support and maintenance services, including troubleshooting and problem resolution
Monitor and maintain IT infrastructure, including servers, networks, and software applications
Assist in the implementation and upgrade of new IT systems and solutions
Communicate with vendors and clients to ensure technical needs are met
Write and update technical documentation and operation manuals
Participate in project planning and execution to ensure project goals are met on time
Track and report IT support incidents and problem resolution progress
Continuously learn and update technical knowledge to stay industry-competitive

Basic Requirements:
1-2 years of relevant work experience
Diploma in Computer Science, Information Technology, Computer Engineering, or a related major

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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 motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capita investment in science and technology.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to physics-informed neural network, transfer learning, and edge intelligence, battery management, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

· Ability to present ideas in business-friendly and user-friendly language appropriate to both executive and managerial audiences.

· Ability to effectively manage relationships with other implementation teams, application teams, stakeholders, business and customer representatives.

· Organizational skills with attention to task details, documentation and target dates.

· Strong written, oral, and interpersonal communication skills.

· Team orientated, willing to share knowledge and collaborate with peers.

· Proven analytical, strategic vision drawing on strong problem-solving abilities.

· Able to prioritize and execute tasks in a high-pressure environment. ·Ability to conduct research into server, storage, virtualization issues, standards, and products.

Requirement:

· VMWARE Cloud, Virtualization, Server and Storage vendor Certifications Preferred.

· 10+ years of previous Implementing / Architecting & virtualization experience, across multiple vendor and technologies.

· In-depth understanding of Cloud, Server, Storage, and Virtualization architecture design techniques, theories, principles, and practices.

· Solid experience in implementing enterprise Cloud, Virtualization, Server and Storage systems within a broad spectrum of technologies.

EDUCATION/CERTIFICATION / KNOWLEDGE:

· Excellent Knowledge of Private, Public and Hybrid Cloud environments

· Excellent Knowledge of Cloud Orchestration platforms

· Intermediate knowledge of Windows Server, Linux, in HA/DR type configurations.

· Excellent knowledge of Sever hardware platforms: x86

· Excellent knowledge & working experience of VMWare ESXi, vSphere, vSAN, vRA, VRO, VROPs, vRLI, NSX-T, Horizon View

· Excellent knowledge of SAN, NAS, DAS, RAID, SCSI, Fibre Channel, Backup to Disk, clustering, encryption technologies from multiple vendors.

· Should be extremely proficient in PowerShell, Shell scripting / Python / Ansible development

Job Summary

The Water Treatment Marketing Support Engineer will provide technical support to the marketing team, focusing on membrane filtration technologies and water treatment solutions. This role involves collaborating with sales teams, customers, and engineering departments to effectively communicate product benefits, conduct market research, and support business development initiatives.

Key Responsibilities

1. Technical Support: Provide in-depth technical knowledge of water treatment processes, particularly membrane technologies (e.g., Nano Filtration, Reverse Osmosis) to assist the marketing and sales teams.
2. System Design: Develop and optimize designs for membrane filtration systems, including Nano Filtration and Reverse Osmosis technologies.
3. Water Quality Assessment: Analyse raw water quality data to determine treatment requirements and evaluate the effectiveness of membrane technologies.
4. Membrane Selection: Evaluate and select appropriate membranes based on performance specifications and project requirements.
5. Process Optimization: Identify opportunities to enhance system efficiency and increase water recovery rates.
6. Troubleshooting: Support operational teams in diagnosing issues related to membrane fouling, scaling, and maintenance.
7. Documentation: Maintain accurate records of system performance, maintenance activities, and compliance with quality standards.
8. Customer Engagement: Engage with customers to understand their requirements and provide tailored solutions that meet their specific water treatment challenges.
9. Training and Education: Develop training materials and conduct workshops for internal teams and customers on product features, benefits, and applications.
10. Marketing Materials: Contribute to the creation of marketing collateral such as brochures, case studies, and technical papers that highlight product advantages and applications.
11. Feedback Loop: Gather customer feedback on products and services to inform future product development and marketing strategies.

Qualifications

1. Diploma, equivalent or higher, with a major in Chemical Engineering, Environmental Engineering, Water Resource Management, or a related field.
2. Knowledge of design and visualization software such as AutoCAD is a plus.
3. Experience: Minimum of 3 years of experience in water treatment processes or related fields with a focus on membrane technologies.
4. Communication Skills: Excellent verbal and written communication skills for interacting with technical teams, customers, and stakeholders.
5. Presentation Skills: Ability to present complex technical information clearly and effectively to diverse audiences.
6. Bilingual in English and Chinese is required.
7. Technical Skills:

6.1. Strong understanding of membrane filtration technologies (Nano Filtration, Reverse Osmosis).

6.2. Familiarity with water quality parameters and analytical methods.

6.3. Experience in market analysis and product positioning.

Desired Attributes

1. Strong analytical skills with a problem-solving mindset.
2. Ability to work collaboratively within cross-functional teams.
3. Proactive approach to identifying opportunities for improvement in products and processes.

Working Conditions

1. The position may require occasional travel for customer visits, trade shows, or training sessions.
2. Flexibility to work in a dynamic environment with changing priorities.
3. Salary (commensurate with experience): S$3200 – S$ 4200.
4. A part-time position is also available for application.

Application Process

1. Interested candidates should submit their resume along with a cover letter detailing their relevant experience and qualifications.
2. Interested applicants, kindly forward above required document and indicating earliest availability / notice period required, current and expected salary via email to: [email protected]

We regret that only shortlisted candidates will be notified.

Working Location: Defu Industrial City/PUB Water Exchange

Ackcio Pte Ltd builds reliable wireless monitoring solutions for industrial applications. Our Ackcio Beam suite of products runs off our core technology, a long-range, low-power radio wireless mesh communication to reliably transmit industrial sensor data in real-time both underground and above ground. Currently our technology is widely used in construction, mining, infrastructure, and rail industries to automate the monitoring process, improve productivity, and make the activity safe. We now help major clients in over 40 countries across 6 continents monitor their projects with our technology.

Ackcio was incorporated in Singapore in 2016, and has drawn investments from prominent investors including Atlas Ventures, Wavemaker Partners, Enterprise Singapore, Accelerasia, Aletra Capital Partners, Foundamental, and EF.

Job Description

Our business is growing rapidly, and we are looking for a self-motivated Senior Electronics Engineer to drive our electronics R&D efforts, design new products, and bring them to market that would be deployed across the globe in the harshest imaginable environments like hot gold mines in Australia to freezing temperatures of Scandinavia.

You would be responsible for timely execution of features and releases. We expect you to be engineering innovative capabilities to our product and ensure integration of our system with external partners from ideation to execution.

Core Responsibilities

Product Architecting

• Understand the product requirement in detail and capture all functionality requirements.
• Work with the relevant stakeholders and team members in obtaining a deep understanding of the products that are to be built.
• Architect the products’ electronics design while incorporating all functionality requirements.

Design and Implementation

• Along with the other Engineers, design the products’ electronics circuits.
• Ensure that the product design complies with requirements such as EMC emissions, power constraints, industrial usage, etc.
• Work through the product development cycle all the way from schematic design to prototype to production.
• Verify the designs through simulations and tests to ensure that all functional and non-functional requirements are captured correctly.
• Optimize the product design to reduce the cost of manufacturing and ensure that it is designed for manufacturing.
• Compile the PCB layout diagrams and other associated documents with our contract manufacturer.

Product Validation, Testing and mass production

• Work with our contract manufacturer to bring the product to life.
• Build prototypes and conduct full functionality tests.
• Oversee the production process of the products with our contract manufacturer to ensure we can manufacture the products at scale.
• Design automated test procedures and documentation for remote troubleshooting.
• Component sourcing and evaluation for alternate sourcing and cost reduction.

Qualification Required

• Master’s/Bachelor’s Degree in Electrical/Electronic Engineering
• At least 5 or more years in designing and productization of electronic products.
• Proven track record in designing analog and digital circuits for industrial electronic products.
• Experience with PCB design software such as Altium.
• Good problem-solving skills.
• Excellent analytical skills with a proven ability to think innovatively and resourcefully.
• Team player with a no ego and collaborative attitude.
• Self-motivated and driven to excel and deliver, able to handle stress with a positive attitude.
• Proven track record in leadership and project management.
• Strong communication and presentation skills especially in technical topics.
• Flexible, no 9 to 5 mentality.
• Experience with Mechanical design software such as SolidWorks will be a plus.

Perks

• Work with a talented team of a fast-growing, deep-tech startup.
• Cool working space with lots of friendly people.
• Be part of a deep-tech startup that is disrupting the market
• Open and supportive leadership team
• Flexible work arrangements

Our Awards

2021

• Great Place To Work certified
• Techblazer Bronze Award - Singapore highest accolade for tech innovation
• Forbes Asia 100 To Watch
• Top Singapore Wireless Companies and Startups
• Top Singapore Construction Companies and Startups
• Finalist - Ground Engineering Awards
  -Award for Equipment Innovation
  -Specialist Geotechnical Supplier of the Year
• Finalist - New Civil Engineer Tunneling Festival
  -Innovation in Instrumentation & Monitoring

2020

• Top 50 Contech Startups
  - Productivity Category

Find us at https://www.ackcio.com/

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 Institute of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.