Job Responsibilities:

• Conduct overseas site evaluations and assess engineering designs for Solar (PV) and Battery Energy Storage System (BESS) projects across all project stages.
• Provide PV system proposal for Sales team
• Assist the QS team for BOM of the engineering design.
• Lead the development of Microgrid solar projects, working closely with subcontractors to ensure construction is up to expectations.
• Create the electrical design layout, electrical single-line diagram, panel schedule for project installation
• Follow through on the detailed engineering phase with chosen partners, ensuring adherence to Technical Specifications and relevant legal requirements as per contract requirements
• Offer technical insights for Operation & Maintenance (O&M) activities, such as developing O&M manuals and setting up solar monitoring systems.

Job Requirements:

• Comprehensive understanding, technical expertise, and practical involvement in the design and construction of off-grid solar electrical projects with BESS.
• A bachelor’s or master’s degree in electrical or energy engineering from an accredited university.
• Minimum of 6 years of relevant experience in electrical engineering field.
• Strong understanding of electrical engineering principles in AC, DC systems.
• Knowledge and involvement in HV transmission lines (AC or DC), HV substations design, construction, operation, and maintenance is advantageous.
• Excellent communication, interpersonal, and organizational skills.
• Strong problem-solving, critical thinking, and decision-making abilities.
• Capability to work independently, collaboratively within a team, and willingness to travel.
• Proficient in English, with effective verbal and written communication skills.
• Ability to converse in mandarin with supplier is a plus.

Responsibilities

• Plan, implement and organize customer visit/meeting to close new sales to achieve sales target
• Develop and maintain strong business relationship with existing/new customers
• Develop sales and marketing strategies with action plan to penetrate into new markets
• Source and develop new customer accounts and expand business opportunities
• Analyze market trends, competitor offerings and keep abreast of latest market development
• Preparation of proposals, tenders and quotations based on project requirements and close monitoring of project execution to optimize profitability and maximize customer satisfaction.
• Able to market company portfolio to potential customers
• Able to identify, plan and execute new projects
• Able to interact well with all levels of our customer’s organization structure to ensure projects are being carried out on schedule
• Achieve sales revenue, profitability and sales growth targets set by the Management
• Perform any other ad hoc duties as assigned

Requirements

• Degree/Diploma in Engineering or equivalent.
• Minimum 3-5 years of M&E working experience in building/construction industry
• Must be bilingual abilities with strong skills in multiple languages to liaise with relevant counterparts
• Excellent written and verbal communication skills, with a high level of attention to detail.
• Strong interpersonal skills, ability to develop relationships and communicate with all levels of management.
• Good in documentation, presentation, coordination, and analytical skills
• Proficient in Microsoft Office applications
• Possess own vehicle would be an added advantage
• Willing to travel to various job sites

About Cynapse

Cynapse is an awarded AI Software Product company specializing in Enterprise-grade Vision AI in highly challenging environments. cynapse’s software platform is leveraging cutting-edge cloud/on-premise/edge platforms, advanced computer vision algorithms, advanced ML concepts & models, and more.

The company's Headquarter is located in Singapore (one-north Area)

Job Description

Cynapse is looking for a talented and highly motivated Computer Vision & Machine Learning Developer to join our AI team that delivers a challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.

Responsibilities

• Assist in the development and training of computer vision models using state-of-the-art machine learning techniques.
• Work with large datasets for model training.
• Collaborate with engineers to implement and fine-tune models, focusing on performance, accuracy, and scalability.
• Contribute to the deployment and monitoring of trained models in production environments, ensuring robustness and reliability.
• Participate in the development and maintenance of MLOps pipelines, automating the process of model training, deployment, and monitoring.
• Conduct research to explore and implement the latest computer vision and MLOps techniques and technologies.
• Maintain and update model pipelines, ensuring they meet project requirements and deadlines.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial intelligence, mathematics, Electrical Engineering, or a related field.
• Solid understanding of machine learning concepts, particularly neural networks and their applications in computer vision (e.g., convolutional neural networks, transfer learning, and deep learning architectures).
• Proficient in one or more popular machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experienced with computer vision libraries like OpenCV, scikit-image, or equivalent.
• Strong programming skills in Python, with expertise in using tools like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
• Knowledge of data preprocessing techniques, including image augmentation, normalization, and resizing.
• Basic understanding of MLOps practices, including version control, continuous integration, and continuous deployment (CI/CD).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills, both written and verbal, with the ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new tools and technologies in the rapidly evolving fields of machine learning, computer vision, and MLOps.
• (Optional) Experience with cloud platforms like AWS, GCP, or Azure is a plus.
• (Optional) Knowledge of Docker or other containerization tools for model deployment.
• (Optional) Familiarity with MLOps tools like MLflow, Kubeflow, or similar is a plus.

Personal Competencies

• Innovative, motivated and a quick learner
• Ability to work well in a small team and take end-to-end ownership of problems and their resolution
• Attention to detail, curiosity, and passion for technology

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting-edge technologies
• informal and exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates that are only based in Singapore

Job Type: Full-time

Benefits:

• Health insurance

Schedule:

• Monday to Friday

Supplemental Pay:

• 13th-month salary

Work Location: In person

Job Title: Engineering Assistant (ID1580)
Location: Pioneer, transport pick up Island wide in Singapore and JB Bukit Indah
Working Hours: 4334 days 12 hours shift (Day & Night or Normal) or Normal Shift Mon to Fri 8:30am – 17:30pm
Salary: $2000 - $3000
Benefit: AWS, Variable Bonus

Job Description
• To specialise in processes and to perform higher level of troubleshooting and failure analysis
• Guide the technicians and operators to achieve required output and quality
• To check on the supplementary materials change to ensure they are properly done
• To assist Line Engineer to check all the control chart and checklist
• To ensure smooth production operation with production report
• To monitor, troubleshoot and improve the production daily final test yield
• To perform maintenance and troubleshooting of machinery
• Any other jobs as assigned by Manpower supervisor

Requirement:
• Minimum Diploma Electronics / Mechatronics / Electrical / Mechanical discipline
• Basic operation & manpower control knowledge.
• Basic computer software knowledge such as Microsoft Excel or Words
• Good communication skills.

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.

With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).

Qualifications

Job responsibilities

• Define data center system-level, product architecture, and Research and Development, while helping to develop operations and maintenance procedures for systems/processes.
• Conduct engineering analysis and research designs and methods of data center equipment and facilities.
• Ensure designs and installations meet requirements (e.g., predicted cooling, structural, operational concerns, etc.).
• Serve as Technical Lead in the region. Collaborate with Operations, Execution, and Construction teams to develop new data center (DC) mechanical infrastructure products and systems.

Minimum qualifications

• Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience.
• 10 years of experience in mission critical facility design and construction environments.
• Experience in mission critical facilities and their mechanical infrastructure.

Preferred qualifications

• Master's degree in Engineering, Business or relevant field, or professional engineering license.
• Experience in estimating, mechanical design, operation, and commissioning of mission critical data center mechanical equipment.
• Experience in design, construction, and commissioning of mechanical cooling plants, fire suppression systems, fuel oil systems, domestic water systems, and sanitary sewer systems in mission critical facility design and construction environment.
• Experience designing modular building scale assemblies, with an understanding of mechanical tolerances and tolerance analysis.
• Knowledge of mechanical engineering and design principles with expertise in medium-scale production, structural beams/elements, and international building codes.
• Operational knowledge of construction safety procedures.

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Process Systems Engineering and Machine Learning (AI) for Chemical Engineering. The ideal candidate would have experience in developing first principle process models in Matlab/gPROMS or Python, process optimization, machine learning for chemical processes.

What skills do you have?

Working with chemical process data. Understanding process design, process optimization. Coding in Python. Developing ML workflows.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-process-system-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Job Responsibilities:

• Responsible for the overall daily operations of Building Engineering that includes PSI, PFI and SLA.
• Liaison with clients or ground agencies for on-site inspection works.
• Collaborate with client on new project and prepare cost estimations for tenders or quotations.
• Strategize PSI, PFI, and SLA work schedules, as well as manage manpower and resource allocation.
• Carry out structure inspections to existing building structure or infrastructure to identify defects and repair when required.
• Review, plan and coordinates the operations of a field inspection section and manages inspection projects.
• Provide visionary, leadership and direction within the team.
• Manage quotations processes, filing and follow up on billing payments and invoicing related to Building Inspection.
• Review reports prepared by Engineers/Inspectors/subcontractors, ensuring timely submission within set deadlines.
• Monitor the progress of work for each project and ensure timely submission of progress payment claims to clients on a regular basis.
• Enforce adopted codes and regulations pertaining to building inspections to ensure safety and compliance.
• Stay updated on new rules, regulations and technical information disseminated through internal communication channels.
• Supervises Building Inspectors/Engineers and Sub-Contractors, including task prioritization, expenses management, leave scheduling, performance evaluations, training and recommendation on hiring, termination, and disciplinary actions.

Job Requirements

• Bachelor’s degree in civil engineering
• Minimum of 5 years of relevant work experience, with at least 2 years in a management role
• Strong leadership, communication, and organizational skills
• Proficiency in project management and inspection processes
• Knowledge of building code and regulations

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

• Develop and implementation of structural optimization schemes for customized reinforcement configuration in reinforced concrete component.
• Conduct mechanical testing on steel-concrete composite elements.
• Collaborate with team members to ensure that all project milestones are achieved on schedule.
• Document findings comprehensively and prepare detailed reports for further analysis and review.

Qualifications

• PhD degree (or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields.
• Experience in research for structural optimization is desirable.
• Strong computational analysis skills and proficiency in using laboratory equipment.
• Ability to work independently and as part of a multi-disciplinary team.

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry 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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry 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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry 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

Perform research in operando imaging guided materials design for sustainability

Qualifications

The successful candidate should possess the following:

• A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
• Highly motivated, committed, and capable of working independently as well as collaboratively
• Strong publication record in peer-reviewed journals
• Good communication skills in English (both written and oral)
• Prior experiences with the following will be a plus
• Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
• Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
• Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
• Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

Integrated DNA Technologies (IDT) is the leading manufacturer of custom oligonucleotides and proprietary technologies for genomics applications. Our work is complex and cutting-edge, and our team members are curious, creative thinkers who understand that good data drives smart decisions. At IDT, we realize that although science may be uniform, people are unique. We promote a culture where engaged people are motivated and have opportunities to achieve their full potential, as part of one global team.

IDT is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

This position is part of the Facilities and Engineering Department located in Singapore and will be on-site (Overnight shift: 10pm to 7am). At IDT, we are one global team. We celebrate our differences, engage in healthy debate, and are inclusive. Together, we accomplish great things.

In this role, you will have the opportunity to:

• Be responsible for performing facilities and engineering maintenance and calibration activities in a timely manner to meet operational needs of the organization.
• Carry out fault troubleshooting and equipment failure recovery.
• Support, execute or initiate engineering initiatives to drive continuous improvement.

The essential requirements of the job include:

• Diploma or bachelor’s degree in engineering or sciences with minimum 2 years of working experience in the maintenance related field.
• Aptitude and general knowledge of repair techniques.
• Knowledge of instrument calibration and facility management

Travel, Motor Vehicle Record & Physical/Environment Requirements:

• Must be comfortable working with chemicals and follow proper safety and handling instructions.
• Ability to read and interpret printed material, including distinguishing colors, accurately read measurements, and prepare and read written documentation using a computer
• Requires exerting force, repetitive motions, standing, precise finger tasks, reaching, sitting, lifting, bending, pushing/pulling, talking, hearing, walking, climbing, using protective equipment, and maintaining various visual capabilities.

It would be a plus if you also possess previous experience in:

• Six Sigma principles
• ISO 13485:2016
• Manufacturing of DNA/RNA oligonucleotides

Job Description & Requirements

· To carry out wire rope replacement for port cranes.

· Perform other related duties and responsibility as assigned by superior.

Requirements

· Physically fit.

· Positive working attitude and team work.

Work Location

. PSA Terminals (e.g Brani, Keppel, Pasir Panjang, Tuas)

Job Title: Project Engineering (ID4576)
Location: Woodlands
Working Hours: Mon to Fri 8.15am-5.30pm
Salary: $4000-$4500

About the job
• Lead and oversee assigned Projects of existing or new customers
• Lead and rally relevant resources from Mold Shop, Manufacturing, QA, Materials to manage Project activities
• Communicate effectively with customers and provide all necessary services during the project phase.
• Carry out product costing and analysis
• To drive business development project till complete
• technical assignment to supplier
• Review product 2d for specification and requirement
• Coordinating customer project activities
• ISO9001 / IATF16949 QMC knowledge
• Project management skill

Requirement
• Min Diploma in Engineering (Mechanical )
• Minimum 2 years of relevant experience
• Experience in plastic injection molding &mold maker

RESPONSIBILITIES:

• Perform testing and commissioning of complex servers and storage products
• Perform quality assurance and risk assessments of end products
• Handle re-configurations in accordance to customer’s specifications
• Software loadings
• Basic knowledge of server and able to handle failure analysis (FA).
• Able to identify various error codes for individual failed server given by the diagnostic program
• UNIX and hardware based troubleshoot and rework on the failed server unit.
• Rack NPI, production check, test and troubleshooting failed unit.
• Assists Engineers for pilot Run orders and other product related issues.
• Keeping Engineers well informed of the found discrepancies on the line.
• Daily updates of the orders on the line, generating daily, weekly and monthly reports and keeping the line well maintained and organized.
• Other ad-hoc duties assigned in accordance to business needs.

REQUIREMENTS:

• Diploma in Electrical / Electronics / Mechatronics / Computer Engineering
• Willing to learn and able to pick up skills quickly
• Good in communication and a good team player
• Familiar with MS Office and good in documentation
• Willing to commit to overtimes

OTHER INFO:

• Work Location: 452 Alexandra Road, Singapore 119961 [Near Labrador Park MRT]
• 
  Working Days / Hours: 7am – 3pm [Mondays to Fridays]

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Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).

At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:

Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.

Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.

Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Candidates are expected to:-

• Carry out repair, maintenance, and troubleshooting of machinery onboard PSA Marine harbour crafts
• Liaise with Fleet Operations team on breakdown reports and harbour crafts status
• Perform lathe machining, basic gas welding, and cutting works to facilitate repair to machinery
• Assist in lifting activities, forklift operation, confined space assessment
• Perform proper disposal of used oils and chemicals

The ideal candidate should preferably:-

• Possess at least a Nitec in Marine Technology, Electrical Engineering, or Mechanical Engineering
• Be proficient in Microsoft Office applications
• Possess a valid Class 3 driving license and MOM accredited certifications such as SSIC, Safety Supervisor, Lifting Supervisor, Forklift Driving
• Prior experience in performing mechanical fitment, basic gas and TIG welding, hydraulic and pneumatic system troubleshooting will be considered favourably
• Candidates with relevant experience may be considered for a senior position

*New hires may be eligible for a sign-on bonus of up to S$3,000. Terms and conditions apply.

Job Highlights

• Career Development and Opportunities
• Duty Meals, Birthday Leave & Flexible benefits
• Complimentary Room Nights & Discounted Room Rates

We are looking for a Director of Engineering

Director of Engineering is overall in charge of maintenance operations of hotel facilities, electrical systems, kitchen equipment, emergency power system, and other related equipment in accordance with guest service, preventive maintenance and energy conservation standards and programs.

As a Director of Engineering, we rely on you to:

• Manages departmental operations expenses and prepare for annual budget & Capex,
• Ensure hotel ‘s facilities are MEP system in good working condition to support daily operation,
• Establish andimplement preventive maintenance program to achieve higher reliability and serviceability of hotel facilities,
• Plan and implement projects to improve plantefficiencyand reduce other operating & maintenance costs,
• Ensures systematic and cost-effective process ofoperating, maintaining,and upgrading ofassets,
• Identifies hazards& potential safetyconcerns and be accountable for Fire Life Safety in hotel,
• Ensures compliance with international standards and local authority requirement,
• To conduct training programs for team members in accordance with the requirement of Engineering Services Manual and Fire Life Safety Manual,
• Conduct Engineering and Fire Life Safety audits
• Perform other duties and responsibilities as outlined in the Engineering Services Manual and Fire Life Safety Manual or as directed by General Manager

We are looking for someone who:

• Degree in Engineering or relevant
• Minimum of five (5) years with advanced knowledge of building management/engineering experience in hospitality industry
• Hands on experience in hotel operations, repair and maintenance;
• Strong understanding of building life safety system and energy management systems.
• Strong Leadership qualities
• High levels of flexibility, adaptability to changes

If you are the right person, what are you waiting for? Click the APPLY button now!

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Summary

We are seeking a highly motivated and skilled Research Fellow to join our dynamic research team focusing on designing, adapting, and implementing cutting-edge mechanical and electronic systems for a decentralized food manufacturing model. As part of the Proteins4Singapore project, this role involves on utilizing simulations and advanced control systems to optimize and ensure quality in novel food textures and forms. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from mechanical engineering, mechatronics, and food engineering. This is a 1-year contract with the possibility of extension after the first year.

Key Responsibilities

• Develop a closed-loop control system to synchronize high-moisture extrusion and shape manipulator systems with a seamless integration and quality assurance.
• Integrate a variety of non-invasive sensors for a continuous and active monitoring on a food shape manipulator system.
• Develop and adapt custom firmware to integrate extrusion, in-line monitoring and control system with software protocols.
• Work closely with interdisciplinary teams to combine multiscale structural analysis with food processing methods, such as 3D printing and extrusion, supporting the project’s overarching goals of promoting sustainable food technologies and creating novel approaches for analyzing food texture.
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Proficient in firmware and software development, with experience in real-time systems, control algorithms, and open-source platforms.
• Strong background of at least 3 years in mechatronics, electronic systems, and automation; ideally experience with CFD, FEM simulations, and rheology for material flow analysis.
• Experience with food processing technologies, particularly food-grade and semi-solid materials, and a focus on safety and user-centric design.
• Publication as key author in related journals.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.

Qualification Requirements

• Ph.D. in Mechanical Engineering, Mechatronics, Food Processing, Industrial Engineering, or cognate discipline from a reputable university.
• Demonstrated ability in firmware programming and real-time process control integration.
• Strong communication skills, both verbal and written, with the ability to document processes and present findings effectively.

What we offer

• A collaborative and inclusive research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.

Applications

Please send your complete application including a cover letter and detailed CV to [email protected].

Only shortlisted candidates will be contacted.

We are looking forward to your application!

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 Research Fellow (Postdoc) will conduct experimental and numerical studies in the field of coastal dynamics, including measurements and numerical modelling of turbulent processes in breaking waves, sediment transport, etc. The tasks involve particle image velocimetry (PIV) or particle tracking velocimetry (PTV) measurements of air-water interaction in a shallow water depth, turbulence in the presence of sediment concentrations, turbulence in wave-current interaction, etc. CFD model will be developed and validated with these experiments.

Qualifications

• Possess a PhD degree with research experience.
• Have with relevant background in coastal, ocean, and hydraulic engineering.
• Prior experience and knowledge of hydraulic laboratory experiments (e.g. with PIV/PTV) and numerical modelling (e.g. with DNS) of turbulent flow structures are preferred.
• Applicants must have a PhD degree and research experience.
• Strong written and spoken communications.
• Strong quantitative and analysis skills.
• Prior experience in publishing good publication record is advantageous.
• Open to fixed term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models 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 Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking suitable candidates for a Teaching Assistant position.

The job duties include but not limited to:

• Conduct classroom teaching in Electrical/Computer Engineering subjects
• Design and implement Electrical/Computer Engineering laboratory experiments and projects in hardware and/or software domains
• Provide prompt consultation to students
• Assist in grading students’ work
• Assist in course-related logistics for the lecturers
• Assist in Department’s outreach efforts

Interested applicants are invited to submit a detailed CV, a teaching philosophy statement, and transcript for undergraduate studies.

Qualifications

• Good B.Eng./M.Sc./M.Eng. degree in Electrical Engineering, Electronics Engineering or Computer Engineering from a reputable university.
• Strong communication skills in the English language
• Passionate in teaching electrical/computer engineering concepts and skills to the students.
• Proficient in multiple programming languages, especially Python, Java, C.
• Knowledge in software engineering, data structures & algorithms, computer organization, artificial intelligence & machine learning is a plus.

A Research Fellow position in enzyme engineering/synthetic biology for CNegSAF project is available at the Campus for Research Excellence and Technological Enterprise (CREATE) in Singapore.

CNegSAF PROJECT

CNegSAF Project: Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia

Hosted by CNRS@CREATE, the program ‘Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia Project’ (CNegSAF) is an international collaboration between world leading institutions in France and Singapore including CNRS, Toulouse Biotechnology Institute (TBI), National University of Singapore, A*Star (SIFBI), and Nanyang Technological University. CNegSAF aims to demonstrate the feasibility of using a synthetic bacterial consortium to convert green hydrogen and concentrated waste CO2 (released by chemicals companies) into sustainable aviation biofuels. This innovative research program has the potential to significantly contribute to Singapore’s and the world net-zero emissions target while supplying sustainable aviation fuels to the aviation industry.

Read more about the CNegSAF project here.

DESCRIPTION

To join this team, we are looking for a candidate who will be in charge of enzyme engineering activities using state-of-the-art evolutionary engineering and computational enzyme design techniques. The candidate will be involved in the development of screening protocols, construction and screening of enzyme libraries, designed by in silico molecular modelling. These enzymes will be further used for the creation of novel metabolic pathways for terpenoid production in engineered bacterial strains.
The perspective researcher will work in a multidisciplinary environment with access to high-throughput screening equipments (both in Singapore and Toulouse, France) and have frequent and strong interactions with other scientists involved in metabolic engineering, pathway engineering and computational enzyme design.

EXPERIENCE & QUALIFICATIONS

• PhD in Molecular Biology, Biochemistry, Biochemical engineering or related field
• Experience with enzyme engineering and enzyme library construction
• Expertise with HT screening, assay design and development and trouble shooting
• Experience in structural biology and molecular modelling/computational enzyme design would be a plus
• Preferred experience with protein production, purification, characterization and crystallization knowledge
• Preferred experience with metabolic engineering/synthetic biology background
• Strong communication with structured reporting and organizational skills
• enjoy working in a team-oriented environment
• Good English skills are required.

FURTHER INFORMATION & CONTACT

Salary range: SGD 6,900 – SGD 10,000 (depending on suitability and experience)

The position is available starting February 2025 and for a duration of up to three years. The position will be mainly based in Singapore with possible visiting stays in Toulouse, France.

Applicants should send as soon as possible CV, summary of previous research and contact addresses of two references to:
Isabelle ANDRÉ (TBI, Toulouse, France): [email protected]
Xixian CHEN (A*-SIFBI, Singapore) : [email protected]
Bo XUE (SynCTI-NUS, Singapore): [email protected]
Thomas Lautier (TBI, Toulouse, France): [email protected]

Job Responsibilities:

• Chauffeur the Director
• Running errands for the Director
• Ensure cleanliness, hygiene and maintenance of the car at all times
• Any other ad-hoc duties as assigned

Job Requirements

• Possess a record free driving license and practice excellent and safe driving habits
• Familiar with Singapore roads
• Must be very willing to work according to CEO schedule
• Able to work weekends and overtime when necessary
• Punctual, Responsible, Honest and Polite
• Friendly personality, well-mannered
• Private Hire Driver, All genders are welcome to apply

- assist in managing the contracted services for repair, preventive maintenance and/or new construction of building facilities and grounds to ensure compliance with statutory and user requirements.

- develop and direct initiatives to maintain and operate building facilities and systems to meet building operational requirements and ensure safe system operations.

- Other duties include rendering technical assistance with regard to maintenance planning, budgeting for projects and ensuring timeliness and cost-effectiveness of projects.

- Required Skill(s): AutoCAD, project management, good communication skills, good personal-relationship skill

- Preferably Junior Executive specialized in Engineering - Civil/Construction/Structural or equivalent.