Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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 Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

The successful applicant will be involved in a multidisciplinary and collaborative research study on the built environment and mental well-being. He/She will investigate how the urban environment, such as neighbourhood design, heat stress and noise pollution, can influence the positive and negative aspects of mental well-being in families. The candidate will also be involved in longitudinal cohort studies and collaborations with clinicians and researchers from a wide range of disciplines.

1. Data management and analysis of data
2. Combine a thorough examination of the literature with study results to answer scientific questions and hypothesis
3. Assist with preparation of scientific publications, data reports, grants and presentations
4. Perform measurements, collection of data and samples as well as field and experimental work
5. Assist with other administrative duties

Job requirements

• Degree in Biomedical Sciences, Bioinformatics, Architecture, Statistics, Geography, Real Estate, Urban Planning or a closely related field
• No experience required or applicants with relevant project experience are welcome
• Highly self-motivated with excellent communication and writing skills.
• Proficient in Microsoft Office and statistical program.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Previous experience with geospatial analysis, managing and analyzing data sets and/or in bioinformatics will be preferred.

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

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Purpose of Job

This position is responsible to ensure financial standards compliance for all infrastructure-related investment and operating spend.

Central to it is to formulate investments forecasting and budgeting, and tracking of both investment and operating budget fulfilment, and to liaising with internal and external auditing and tax bodies. Expect to handle complex accounting transactions and conduct financial training, when required.

Key Accountabilities:

Compliance and Regulations: Ensure that all space projects and operations comply with the regulations, central accounting policies and industry standards across.

Reporting: Monitor and provide regular financial reports on existing financial position. To provide recommendations and suggestions to ensure the conservations of reserves and mitigation of immediate risks.

Business Partnering / Financial Planning: Consolidate mid-term recurring financial needs and secure the necessary block budget and propose any possible trade-offs for any variations to ensure meeting budget thresholds. Oversee and incorporate individual investments within overall financial plan.

Capital Planning / Financial Analysis: Support the overall space long-term planning goals with necessary financial information and analysis, including but not limited discounted cashflows, sensitivity analysis, return on investments.

Stakeholder Management & Implementation: Collaborate with project and facility team to understand specific needs, align on objectives and provide timely financial advice.

Job Requirements:

• Possess at least 7 years of relevant experience in either financial management or / and equity management related fields
• Background in accounting or finance, or experience in financial planning in construction / facilities management industry would be advantageous.
• Knowledge of different capital investment financial models and ability to interpret investment concepts into different spend categories
• Able to work under pressure and adapt to changes within a fast-paced environment.
• A self-driven and meticulous individual who has the strong ability to multi-task.

Purpose of Job

This position is responsible for the strategic and operational real estate portfolio management (leased and owned), ensuring alignment with strategic goals, optimisation of leases, managing lease negotiations, and oversee projects.

Central to formulate strategic plans for space extension and exit strategies, time to market, to fulfil the agreed master plans, with a focus space utilisation, cost efficiencies and sustainable practice.

Key Accountabilities:

Strategic Planning & Portfolio Management: Develop and implement real estate strategies for the entire portfolio of A*STAR’s space. Manage all portfolio activities including acquisitions, disposals, and lease negotiations. Conduct regular portfolio benchmarking to identify cost savings opportunities and stakeholder engagements to define the real estate needs.

Real Estate Transactions: Lead all real estate negotiations to ensure most favourable terms, align to market. Manage good working relationship with landlords and real estate agencies. Oversee the lease due diligence, contract review and legal compliance aspect of a transaction

Financial Management: Develop and management real estate budget to ensure within allocations. Conduct regular real estate benchmarking to forecast trends, identify risks, and financial modelling to facilitate decision-making. Work collaborative with other units to ensure an integrated decision-making.

Space Management: Collaborate with facilities management to ensure the optimal space utilisation and smooth daily operations. Lead workplace strategy programs as agreed by the leadership. Ensure sustainable and energy efficient real estate practices.

Compliance and Regulations: Ensure that all real estate transactions comply with all laws and regulations. Manage risks associated with real estate investments and leases, including market and operational risk.

Job Requirements:

• Possess at least 15 years of relevant experience in managing corporate real estate management or related fields
• Background in Real Estate, Business or Finance with at least 7 years of local experience managing large real estate portfolios, lease negotiations. Experience in managing industrial portfolio would be advantageous.
• Possess strong leadership skills in leading multi-disciplinary teams.
• Confident to communicate at all levels and able to think creatively and apply strategic thinking to tasks.
• Able to work under pressure and adapt to changes within a fast-paced environment.
• A self-driven and meticulous individual who has the strong ability to multi-task.

Job Responsibilities

• Develop and align strategies to economic and national agenda (e.g. DxD Hub 3.0 in RIE2030 strategy), including strengthening linkages with internal and external stakeholders (e.g. MOH, clinical clusters in setting up satellite programmes).
• Translate overarching DxD Hub’s strategies into an action plan, coordinating across public sector and internal stakeholders and entities to achieve Enterprise’s desired outcomes.
• Set, monitor and report performance and tracking indicators for DxD Hub in alignment with National Platforms Co-ordinating Office and A*STAR Innovation and Enterprise (I&E) division and its operating units and in partnership with finance for financial targets.
• Establish and maintain corporate branding and public awareness of DxD Hub.
• Perform Divisional reporting and communications functions with stakeholders within A*STAR, governing and advisory boards, as well as other public agencies in the ecosystem.
• Review internal operational processes for possible improvements, in alignment with Enterprise and A*STAR best practices.
• Build capabilities of service platforms & drive realization of business outcome.
• Hires, motivates, develops, and retains key talent.
• Develop and deliver accurate reports of operational metrics to the CEO. Deliver monthly operation reports.

Requirements:

• Bachelor’s degree, preferably in Science or Engineering.
• More than 6 years of relevant working experience. Experience in strategic and/or corporate planning would be an advantage.
• Possess strong strategic and analytical thinking skills.
• Able to identify and contextualise stakeholder issues and manage them appropriately.
• Good communication (written and verbal) and interpersonal skills. Able to work in a team and guide the team to achieve their tasks. Able to work outside of organizational boundaries to engage external stakeholders as necessary
• Able to deliver results under tight timelines. Pro-active, quality conscious and results oriented.

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

ISCE2 is looking for a highly motivated candidate to join Digital Chemistry Division and drive data-rich experimental and process development workflows. The ideal candidate will have a strong background in organic synthetic chemistry. The successful candidate will be responsible for initiating, implementing and driving projects in multiphasic and continuous flow, and process intensification.

Key responsibilities:

• Drive ideation and projects involving multiphase flow processes, automation, digitalization and high throughput experimentation.
• Implementation and development of flow technologies and analytics for projects.
• Application of kinetic models and design of experiments (DoE) for flow development.
• Utilisation of chemical analysis (UHPLC-MS, GC-MS, NMR, etc), including in-line/on-line flow analysis.
• Writing of publications, research proposals and patent applications
• Communicating with internal ISCE2, A*STAR and industrial collaborators.
• Daily supervision of MSc and PhD Students for scientific aspects and well-being.

Key requirements:

• Experience in synthetic organic chemistry, especially in continuous processing and high throughout experimentation.
• Strong ability to work in multidisciplinary teams with both academic and industrial laboratories.
• Strong knowledge of relevant regulations and standards related to chemical testing.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

Duration: 1 year

Location: Pioneer

Working Hours: Monday - Thursday 830am to 545pm; Friday 830am to 515pm

Responsibilities:

• Assist the Manager (Research) in overseeing research projects and grants, including budget management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

Should you be interested in this position, please contact Mandy at 9640 2934 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

The Assistant Manager (Research Quality Officer) will assist the Research Director to establish and promote a safe and high-quality research culture in KK Women’s and Children’s Hospital (KKH).

Job Scope:

• Conduct audits and oversee the KKH Research Audit Framework.
• Conduct study monitoring (if any) and oversee the KKH Research Monitoring Framework.
• Responsible for review of current research policy and procedures and work instructions pertaining to hospital requirements, PDPA, HBRA, Medicines (Clinical Trials) Act and Health Product Act, etc.
• Assist in various kinds of external audit and inspection, if any.
• Oversee quality management of research projects at KKH.
• Organize and conduct regular sharing sessions or training workshop for KKH research community.

Job Requirements:

• Degree in Nursing, Life Science or related discipline.
• Minimum 8 years' site coordinator experience or minimum 6 years’ clinical research/pharmacovigilance monitoring/audit experience.
• Advanced knowledge of trial procedures and regulatory requirements in managing clinical trial.
• Proven ability to conduct quality assurance quality control, internal and external audits in clinical trial process.
• Possess good people’s management skills.
• Advanced computer skills e.g., MS Office Word and Excel.
• Good presentation, training and teaching skills.
• Good time management skills with good multi-tasking capabilities.
• Candidate with CITI, ICH-GCP, professional accreditation by ACRP or SOCRA will be an added advantage.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

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

As a Research Assistant in Urban Planning Algorithms, you will be responsible for developing innovative algorithms and formulations to address complex urban planning problems. You will work closely with urban planners, data scientists, and other stakeholders to understand the practical constraints and challenges faced in urban planning. Your role will involve:

• Developing and refining algorithms and mathematical formulations to solve urban planning problems, such as traffic flow optimization, land use allocation, and resource distribution.

• Analyzing and interpreting data from various sources, including geospatial data, demographic information, and transportation networks, to inform algorithm development.

• Collaborating with interdisciplinary teams to ensure that algorithms are practical, scalable, and aligned with the goals of urban planners

• Implementing and testing algorithms using appropriate software tools and programming languages, such as Python or R.
• Documenting your work and presenting findings to stakeholders, including urban planners, policymakers, and the public.

Qualifications

To be successful in this role, you will need to have a strong background in computer science, mathematics, or a related field, with a focus on algorithm development and optimization. Additional qualifications include:

• Proficiency in developing and refining algorithms and mathematical formulations to solve complex problems.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Proficiency in programming languages such as Python, MATLAB, or R, and experience with software tools for algorithm implementation and testing.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and present findings effectively.
• A commitment to collaborative work and the ability to work effectively in interdisciplinary teams.
• A Bachelor’s degree in Computer Science, Mathematics, Operations Research, or a related field

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

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

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

This research fellow will help the PI and Co-PI in overseeing the project in general and help in drafting the reports. In particular, he/she is responsible for
• design and executive of centrifuge testing in this project.
• Design a wave generation inflight in centrifuge model.
• Model the impermeability of the new proposed modules, and its connection with the existing seawall.
• Data interpretation and summary the laboratory tests, arrive at some key findings on the future design.

Job Requirements

• Possess a PhD degree in relevant filed.
• Strong in basic geotechnical knowledge.
• An independent researcher.
• Strong in basic geotechnical knowledge.
• Familiar with geotechnical FEM modelling software and their applications.
• Able to analyse test data.
• Able to draft sound technical report.
• Highly motivation in doing research work.
• Innovative in thinking.
• Able to work in a team.
• Strong communication ability; written and spoken and able to present research findings.
• Open to fixed-term contract.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Senior Scientist in Lead Optimization Unit

CPR is seeking for a scientist with expertise in protein engineering.

Job requirements

The applicant should be highly skilled in at least one of the following areas:

• Strong and proven expertise in structural biology and molecular biology for protein structure/function investigation.
• Advance knowledge in protein and/or antibody engineering, including but not limited to rational or random mutagenesis engineering approach.
• Expertise in protein biochemistry, protein expression, purification, and characterization.
• Strong organizational skills to deal with large amounts of data and excellent communication and collaborative skills, as well as a team player mindset for working with cross-functional multi-disciplinary teams.
• Knowledge and skill of high-throughput system, automation, and/or general scripting language is a plus but not a must.
• Knowledge and skill of cell biology, biophysics or immunology is a plus but not a must.

The applicant must have completed and be awarded with a relevant Ph.D. degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Information science with 1-2 years of working experience in a related field. In addition, the successful candidates must be able to demonstrate technical expertise in areas which may include molecular biology, cell biology, protein chemistry and protein engineering as evidenced by projects, presentations, or peer-reviewed scientific publications.

As frequent communication and liaison is expected between both the Singapore and Japan office, you should possess an excellent command of both spoken and written Japanese and English languages.

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations skills.
• Open to Fixed Term Contract

Involve in one or more teams in supporting and maintaining systems, to ensure that they are up and running smoothly:

• Report to Project Leads/Project Engineers in delivering of projects
• Managing of vendors
• Performing project administration
• Performing inventory checks
• Performing equipment testing
• Sourcing for vendors
• Procuring of project equipment, parts and components
• Compiling of materials for Projects (User Manuals/Delivery Note/HOTO etc.)
• Supervising Vendors/Contractors to ensure work is done according to specifications
• Extracting and compiling data for analysis
• Installing and setting up of project equipment (e.g. Comms, IT, Network, etc.)
• Driver (e.g. transporting project equipment to/fro sites, sending project leads/engineers to/fro sites, etc.)
• Require travelling to various sites for work.
• Operating and thrive in a dynamic work environment where you are required to liaise with both internal and external stakeholders.

Requirements:

• Minimum academic qualification of Diploma in Electronics/Mechatronics/Computer Engineering or equivalent
• Minimum of 2-3-year experience in a similar engineering-related capacity. Fresh grads may also be considered.
• Positive work ethics and team player
• Takes ownership of responsibilities
• Thrive in multi-disciplinary and cross-functional environments
• Able to work effectively in an indoor and outdoor environment
• Preferably, with some experience in System-Level Maintenance in the following disciplines (Radio Communications, basic networking skills, computer/servers, embedded systems and/or UPS). Other Engineering-related experience maybe considered.
• Evident in writing, verbal and interpersonal skills.
• Proficient in MS Office (Words, Power-point & Excel)
• Class 3 Driving License is a must.

Interested candidates, please forward a detailed resume and email to career{a}tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Attention: Wee Wan Qi / EA Personnel No: R22109446

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting lace to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Master's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

Highlights

• 2 days off + AWS + VB (Central)
• Programme: Maths, Science, STEAM Programming
• Target Student: Age Group 5 – 12
• Teacher/ Tutor/ Instructor/ Trainer

Main Responsibilities

• Prepare and deliver engaging lessons in accordance with the enrichment centre’s curriculum.
• Create a positive and supportive learning environment that encourages student participation and promotes creativity.
• Establish and maintain good relationships with students and parents; provide regular updates to parents on students’ performance and progress
• Collaborate with colleagues & assistant to enhance curriculum development and teaching methods.
• Maintain accurate records of students’ attendance, performance, and achievements.
• Attend staff meetings, training sessions, and other professional development activities provide & collaborate with Japan HQ as required.
• Ensure centre management and the safety and well-being of all students.
• Perform all administrative and other duties as assigned.

Requirements

• Bachelor’s degree in Education/ Teacher Certificate, Diploma or other Teacher Accreditation courses and certification, or relevant field.
• Prior experience teaching in an enrichment centre or similar educational setting.
• 1-2 year of proven experience in teaching mathematics/ science at the primary or early secondary school level.
• Strong classroom management skills and ability to engage young learners effectively.
• Passion for education and commitment to the academic and personal development of students.
• Excellent communication and interpersonal skills.
• Familiar with Singapore’s education system and curriculum frameworks (PSLE & early Secondary).

HOW TO APPLY:

Interested applicants, please email to “[email protected]”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Pierre Chung Yih Shern
EA Personnel Reg No: R22111092

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting lace to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Bachelor's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

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 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
• Period: 36 months
• Start from: January 2024

Requirement:

• Min Diploma in Civil Engineering or equivalent
• At least 4 years of relevant experience in supervision of residential buildings
• Resident Technical Officer Certificate accredited by IES / ACES
• Knowledge and Experience in institutional
• 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.

Responsibilities

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives

Requirements

· Degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry

· Develop and implement pricing strategies and go-to-market plans

· Proficiency with advanced networks and sensors with AI applications

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialization insights and recommendations to senior management

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders

· Experience leading teams and fostering collaboration across product, finance, and commercial departments

· Working location is Jurong East/Ang Mo Kio

Please submit your LATEST resumes to [email protected] with the following details in MS Word format:

- Position applying for
- Current/Last remuneration
- Expected remuneration
- Notice period

We regret that only shortlisted candidates will be notified.

Lee Keck Ying | EA License No : 06C4642 | EA Reg No : R1877544

Job Scope

• Adapt and implement lesson plans following established guidelines and methodology to optimise the curriculum's effectiveness in achieving learning outcomes.
• Conduct interactive and dynamic classroom sessions that actively engage students, promoting critical thinking and active participation.
• Support any curriculum related work
• Evaluate students' progress and tailor recommendations and personalised plans based on their unique learning needs, leveraging learning analytics.
• Provide regular updates and feedback to parents, ensuring they are well-informed about their child's academic progress.
• Provides 1-to-1 consultations through an in-house messaging platform to address students’ academic needs outside of the classroom.

Requirements

• Processess a minimum of a Bachelor's degree
• While teaching experience is preferred, it is not compulsory
• We are open to enthusiastic educators who are quick learners and have a passion for education.
• Display an energetic and dynamic personality that fosters an engaging and inclusive classroom environment
• Demonstrate proficiency in delivering captivating and impactful lessons that cater to diverse learning styles.
• Exhibit dedication and a proactive attitude in supporting student growth and progress.
• Possess a strong ease and familiarity with technology.

Full Time Work Schedule:

• 3 weekdays + 2 weekends (12pm to 9pm / 9am to 6pm) OR
• 2 weekdays + 2 weekends (12pm to 9pm / 9am to 6pm)

Freelance:

• Weekdays - 3.30pm to 9pm
• Weekends - 9am to 6pm