Position: Sales Administrator (ECS)

Location: Henderson Rd

Working Time: Mon -Thurs (in office), Friday (WFH) - 8.30am - 5.15pm

Salary: $3200 - $3900

REPORTING LINE: Sales Director of Electrical Connectors Division

PURPOSE OF THE POSITION: You work as part of an office-based admin support to the ECS team of 4 sales engineers/director; coordinating between the sales team with customer/prospect visits, calls and e-mail.

• Provide support to Outdoor Sales Team on quotations and proposals
• Manage and follow-up tele-enquiries, email-enquiries
• Handling of incoming calls and collections
• Process of sales orders and ensure orders fulfilment
• Coordinating all deliveries to ensure efficient and effective services to the customers
• Create and maintain both inventory and customer databases
• Conduct mass mailing and tele-marketing periodically
• Assist in organizing exhibitions and seminars as and when needed
• Manage samples, catalogues and flyers
• Any other ad-hoc duties which may be assigned to you from time to time

Skills & Qualifications

• Diploma or equivalent
• Minimum of 3 years experiences in sales admin support
• Proficient in computer knowledge (Microsoft Office)
• Experience in SAP System will be advantage, Training Provided for SAP

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

Responsibilities:

• Conduct cutting-edge research and development in speech/audio foundation models.
• Research, design, develop, and evaluate generative models.
• Conduct research to integrate Large Language Modeling into speech and audio generation (Neural Tokenizers, Large Language Modeling, etc.).
• Identify key research areas and contribute to innovative speech/audio models.
• Design and curate large-scale, high-quality datasets with multi-team efforts.

Qualifications:

• Major in computer science, mathematics, engineering, a related field, or equivalent professional experience.
• 2+ years of internship or full-time experience in one or more areas of machine learning and deep learning, including but not limited to:Speech/Vocal generation (including text-to-speech, singing-voice-synthesis, prosody transfer, etc.)
  Audio generation (including text-to-music, etc.)
  Large scale speech/audio self-supervised representation learning and foundation models
  Large Language Model pre-training and fine-tuning
• Deep knowledge of deep learning and generative models (Diffusion, Flow Matching, AR Transformer, Mamba, VAE, GAN, etc.).
• Self-driven, innovative, collaborative, with strong communication and presentation skills.

Preferred Qualifications:

• Ability to work collaboratively in fast-paced, startup environment.
• Strong publications in top-tier ML/Speech conferences/journals (e.g., NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH).
• Deep understanding of Large Language Models.
• Familiarity with different variants of diffusion models, such as Flow matching, DDIM, etc.
• Familiarity with large-scale distributed training.
• Knowledge of engineering principles and best practices.
• High proficiency in algorithms and programming; strong coding skills in Python.

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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

The Trustworthy LLM/AI project is looking to hire Research Assistants / Senior Research Assistants. Each researcher will contribute in at least one of the following:

1. Research on automated vulnerability discovery (e.g., via Fuzzing) in IoT (Wireless) networked systems;
2. Research on IoT honeypot and threat intelligence.

Qualification & Experience:

• Bachelor's / Master's degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in software testing and/or software security and/or applied machine learning.
• Track record of strong R&D capability, with publications at leading cybersecurity conferences and/or journals.
• Working knowledge of the C/C++ or Python programming language.
• Working knowledge in binary analysis and code reverse engineering is advantageous.
• Familiarity with 5G and Wireless Networking is advantageous.

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year (November 2025

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

Who are we?

We are the University of Cambridge presence in Singapore, Cambridge Centre for Advanced Research and Education in Singapore (CARES). Our activities are sponsored by the National Research Foundation, as part of CREATE, and hosts several research collaborations between University of Cambridge, Nanyang Technological University, National University of Singapore and various industrial partners.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development. Our researchers are developing solutions to reduce the environmental impact of industry in Singapore and around the world. Further information on our activities can be found at www.cares.cam.ac.uk.

Who are we looking for?

We are looking for a proactive and creative individual to provide hands-on support to the Communications and External Affairs Manager. The intern will assist with various projects that communicate CARES’ work to internal and external audiences. This is a fantastic opportunity for someone eager to gain practical, hands-on experience in science communication, digital media, and event coordination. This post is for a minimum of three months, starting February 2025.

This role is ideal for a student or recent graduate interested in Communications, Marketing, Public Relations or a related field. We welcome applications from candidates enrolled in a STEM field wanting experience in communications.

Key responsibilities:

Content and Social Media Support

· Assist in drafting and editing content for newsletters, social media posts, website and intranet updates.

· Support the creation of internal and external graphic assets using tools like Canva, Adobe Illustrator, and Adobe Premiere Pro.

Event Coordination

· Provide logistical support for in-person and virtual events, including liaising with vendors, preparing graphic materials, and coordinating event setups to ensure smooth event execution.

· Perform post-event follow-ups.

· Support the Communications and External Affairs Manager with organizing the annual event schedule and budgeting expenses for upcoming events.

· Attend relevant events to promote CARES and our research.

Administrative Assistance

· Assist in compiling scientific reports and preparing slides as needed.

· Perform any other admin and operations-related tasks as needed.

Desired skills:

· Proficiency in LinkedIn and website content management

· Experience with Canva, Adobe Creative Suite, or similar tools.

· Good organizational and time management skills with great attention to detail.

· Good command of English with solid writing skills.

· Proactive, adaptable and eager to learn!

This a full-time internship based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV to https://jobs.swagapp.com/jobs/cambridge-cares-communications-intern. If you have any questions, please feel free to reach out to the HR team at [email protected]

• Working Days & Hours: 5 days | Mon-Fri: 8.30am to 5.30pm
• Working Location: Cantonment Rd
• Salary Range: $3000-$3500

Responsibilities:

• Provide administrative supports including claims, searches, billing, keeping deadlines and attending to general queries;
• Handling conveyancing related matters ie sale, purchase of private properties
• Review and proofread documents relating to conveyancing matters
• Handle incoming and outgoing mail/telephone calls and correspondence with clients to receive instructions
• All other secretarial / administrative duties assigned

Requirement:

• Relevant Experience

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Position title : Vision Software Engineer

Location: Admirality Street
Working Days: 5 Day A Week
Working hours : 9:00am - 6:00pm
Salary : $5000 - $8000 (depends experience)

Job Summary:

We are seeking an experienced Software Engineer to join our team, responsible for
designing, developing, and maintaining software applications for vision systems.

Responsibilities:

• Design and develop PC based automated visual inspection systems for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s vision specifications.
• Responsible to integrate any new vision hardware (camera, frame grabber, etc) onto the vision software.
• Troubleshooting and improve the processing time of the inspection.
• Provide technical support to internal and external customers to fulfill the inspection requirements. Change the vision inspection algorithm to improve the inspection capabilities and its performance.
• Be the key driver for continuous improvement plans for new and existing inspection capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Work closely with the vision application and optics team members to produce the best inspection result.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

Requirements:

• BS Science Diploma or higher in electrical and electronic, mechanical, or mechatronics engineering or related technical discipline or equivalent practical.
• Technical troubleshooting experience.
• Minimum 3 years in related field.
• Relevant technical work experience including automation machine system troubleshooting.
• Experience working with end customers.
• Understanding semi-conductor manufacturing process, vision inspection settings, machine software settings and configuration or equivalent practical experience.
• At least 3+ years of experience in software development with C#, WPF, Image Processing , Halcon (bonus)

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

Responsible for changing AIA’s analytics landscape by delivering best-in-class advanced data science solutions to drive business growth, improve efficiencies and reduce costs.

Roles and Responsibilities:

· Design, implement and evaluate advanced statistical and machine learning models and approaches for application to various business problem statements.

· Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.

· Implement machine learning models into production systems through proper MLOps practices and collaborating with relevant stakeholders.

· Develop processes and tools to monitor & analyse model performance, incorporate Responsible & Explainable AI for both traditional and Generative AI and implement improvements as needed.

· Provide support in building the foundation of technical analytics capabilities within Enterprise Analytics department, including sharing of best practices for coding, modelling, and analysis within the team.

· Drive analytics innovation by keeping abreast of industry’s trends, evaluating, and adapting new and improved data science approaches for the business.

· Develop in depth understanding of the business and be able to advise the business on the technical solutioning by participating in business discussions and presentations as applicable.

Financial and Non-Financial Measures:

· Quality and Timeliness of completion of deliverables

· Effective stakeholder management

· Achieve planned benefits realisation

· Effective problem solving through self or through collaboration with teams

Communication Requirements

· Able to communicate to all levels in the organisation.

· Able to communicate complex model results in a simplified, comprehensible, and convincing manner for non-technical stakeholder audiences through Data & Business Storytelling skills.

Minimum Job Requirements:

· Bachelor’s degree ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Economics, Statistics, Applied Math, Data Science, or another related quantitative field is preferred.

· Approximately 4-6 years of relevant hands-on experience in analytics/data science.

· Experience in Python for data analysis, visualization, and insight generation.

· Experience handling large datasets using advanced SQL/Spark based Big-Data technologies. Knowledge of Databricks is a plus.

· Experience with Business Intelligence tools (e.g. Tableau), Excel, PowerPoint.

· Knowledge of advanced statistical inferencing concepts (Distributions, Regressions, Hypothesis Testing, ANOVA, PCA, Factor Analysis, Feature Selection etc.) and experience with their appropriate applications.

· Knowledge of a variety of machine learning methods (GLMs, Clustering, Decision Trees, Ensemble Models, Time Series etc.) and their real-world advantages/drawbacks.

· Experience in maintaining Machine Learning production systems and MLOps.

· Understanding and experience in implementation of LLM based RAG applications will be a plus.

· Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.

· Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes.

· Project management skills and ability to manage multiple priorities.

· Strong sense of urgency, accountability, and ownership to drive business outcomes.

· Passionate about working with numbers.

· A drive to learn and master new technologies and techniques.

We are seeking a skilled and experienced scientist to join our dynamic team. The successful candidate will be working in a strong team developing diagnostic product. The role involves collaborating with cross-functional teams, understand the target product profile for the intended use, conducting feasibility studies, verification and validation as well ensuring designs meet technical and regulatory requirements.

Roles and Responsibilities:

• Executing Analytical Validation and Clinical Validation laboratory work
• Executing laboratory work for IVD/RUO product optimization
• Develop protein conjugation capabilities within the protein team.
• Develop protein conjugation workflows which applicable to IVD/RUO product development and scalable for large scale manufacturing
• Documentation of laboratory results as required by DxD Hub QMS and A*STAR
• Support the development of target product profile

Key Requirements:

• Bachelor’s degree in science, Biology or related experiences
• 3 - 5 years laboratory experience
• Knowledgeable in protein conjugation techniques and immunoassays
• Knowledgeable in diagnostics and basic life sciences technologies
• Experience with office management software such as MS office (Excel, Word, PowerPoint)
• Able to communicate effectively, multi-task and able work in a dynamic environment
• Works well as part of a team, yet able to work independently
• Self-driven team player who is able to work in a fast-paced environment
• Work on-site with a cross-functional team

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.

GEMS Research Programme Manager (2 years' Contract role)

The SGX Research Team is looking for a Programme Manager who will champion efforts and provide overall support to run an industry-wide research programme grant scheme – Research Grant under the Grant for Equity Market Singapore Scheme (GEMS). This is aimed at scaling up research coverage of mid/small caps listed on SGX.

In addition to running the administration of the grant scheme, the individual is also expected to drive distribution of content output generated from the scheme and support in activities and projects of the broader SGX Research & FinLit Team. The Research & FinLit team in the Equities unit is responsible for research content generation on the Singapore equities market, investor education and outreach initiatives/activities.

Key Responsibilities

• Admission and Monitoring of Programme

o Maintain a registry of applicants/participating FIs/research platforms who have signed up for the programme. Ongoing monitoring of produced output and verifying against respective programme KPI requirements

o Manage documentation and contractual agreements for participating FIs, research platforms and candidates on the programme mechanics/KPIs

o Applicant on-boarding, establish mentorship scheme with senior analysts

o General administration and paperwork

• Content

o Curate and engage a list of mid/small cap stocks to be covered as part of programme KPI/output and allocations to the FIs/analysts

o Throughput monitoring (programme KPI requirements)

o Collaborate with independent research platforms on administration matters and content quality management

o Co-ordinate and commission industry/sector reports with third-party research firms

• Distribution

o Source and establish new distribution networks/channels for distribution of research reports

o Manage a dedicated central depository and distribute research reports from the programme and SGX Research (via website portals, institutional and retail distribution channels, etc.)

o Organise targeted research seminars, conferences, events for investors

o Develop ideas and run publicity and marketing of programme (e.g. tie-ups with tertiary institutes, media etc.)

o Conceptualize and drive campaigns to promote the programme by working with both internal and external stakeholders

Requirements

• Previous experience of programme management, driving promotional campaigns and event organizing/management, ideation/marketing and content distribution, with prior exposure to the financial industry
• Strong written/spoken English communication skills and the ability to build and establish relationships quickly
• Strong sense of commitment, ability to show initiative, resourcefulness and work independently; willingness to take on a variety of roles and responsibilities and learn new skills
• Detailed and solutions oriented - pragmatic and innovative; thorough with acute attention to detail
• Outgoing personality and comfortable in engaging a diverse cross section of stakeholders
• Team player, goal and outcome orientated. Comfortable working with people at all levels – internal and external

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Oezyilmaz under a project on Spin triplet superconductivity in van der Waals heterostructures.

Applicants should have a Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines and strong background in low-temperature device physics. The successful candidate will be working in state-of-the-art research environment and receive internationally competitive salary packages.

Our group has extensive experience in the fabrication and characterization of van der Waals heterostructures based on magnetic and superconducting layered materials. To support our ongoing work, we are looking for a new team member with extensive experience in low-temperature magneto-transport measurements. The candidate is expected to do research on spin triplet generation and characterization by introducing an additional layer of a magnetic semiconductor into existing heterostructures to realize spin mixing.

The main responsibilities of the position include:

1. Design and development of magnetic tunnel junction or spin valve.
2. Nano fabrication (e.g., stacking of van der Waals heterostructures, e-beam lithography, nano deposition) in clean room.
3. Low-temperature electrical characterization of superconductors/semiconductors.

Qualifications

• Qualifications / Discipline:

1. Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines

2. Excellent English communications

• Skills:

1. Nanofabrication

2. Low-temperature measurement

3. Device physics

• Experience:

1. More than 4-year experience in clean room environment

2. More than 2-year experience in graphene or other related 2D materials

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

About EDDC EDDC is a national platform committed to developing innovative therapies that have the potential to transform patients" lives. Our research and development efforts are focused on understanding the underlying mechanisms of disease and translating these insights into effective treatments. We collaborate with both public sector and industry partners to translate scientific discoveries in Singapore’s biomedical and clinical research into innovative healthcare solutions.

Position Summary

We are seeking a highly motivated Junior Scientist/Scientist I to join our dynamic research team. The ideal candidate will have a strong foundation in chemical biology and thrive in an interdisciplinary research environment. The successful candidate will contribute to cutting-edge research focused on the design, synthesis, and application of small molecule probes for target engagement studies aimed at understanding disease mechanisms and advancing drug discovery.

Job Description

• Plan and execute research experiments under supervision and communicate results and conclusions in group meetings.
• Contribute to ongoing research and development projects in a fast-paced, collaborative environment.
• Maintain detailed and accurate lab notebooks to document research findings.
• Ensure proper upkeep of lab equipment, laboratory supplies, and maintain good housekeeping standards.

Job Qualifications

• A BSc in Chemical Biology is preferred. Applicants with a BSc in Chemistry, Biology, or related disciplines with relevant skill sets may also be considered.

Job Requirements

• Chemistry lab skills: Proficient in the synthesis and purification of compounds (using flash column chromatography, preparative HPLC), and compound characterization techniques (LCMS, HPLC, NMR).
• Biology lab skills: Proficient in cell culture, SDS-PAGE, Western Blot, pulldown and co-immunoprecipitation assays.
• Chemical Biology lab skills: Experience with Activity-Based Protein Profiling (ABPP), Affinity-Based Protein Profiling (AfBP), and chemoproteomics is a plus.
• Candidates without prior experience but with a strong desire and commitment to learn are also encouraged to apply.
• Passion for interdisciplinary research.
• A committed, self-motivated individual with a desire to learn new skills and take on new responsibilities.
• Excellent written and verbal communication skills.
• Strong interpersonal skills, team-oriented with a collaborative spirit and the ability to build relationships internally and externally.

Description:

The Laboratory of Genome Function, led by Dr. Tim Stuart (https://stuartlab.org) at the Genome Institute of Singapore is seeking a postdoctoral fellow interested in single-cell epigenomics. The successful candidate will lead the development of new algorithms and software for the analysis of single-cell genomic data, and lead the application of these methods to analyze and interpret new single-cell datasets.

Requirements:

• Ph.D. in computer science, mathematics, statistics, or a related field. Applicants with a degree in a biological field with strong programming and data analysis experience will also be considered.
• Experience in the analysis of single-cell data
• Ability to program in R, Python, C++, or Rust
• Machine learning experience
• Demonstrated ability to independently lead research projects
• Excellent oral and written communication skills
• Demonstrated ability to publish high-quality research

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.

About EDDC EDDC is a national platform committed to developing innovative therapies that have the potential to transform patients" lives. Our research and development efforts are focused on understanding the underlying mechanisms of disease and translating these insights into effective treatments. We collaborate with both public sector and industry partners to translate scientific discoveries in Singapore’s biomedical and clinical research into innovative healthcare solutions.

Position Summary

We are seeking a highly motivated Junior Scientist/Scientist I to join our dynamic research team. The ideal candidate will have a strong foundation in chemical biology and thrive in an interdisciplinary research environment. The successful candidate will contribute to cutting-edge research focused on the design, synthesis, and application of small molecule probes for target engagement studies aimed at understanding disease mechanisms and advancing drug discovery.

Job Description

• Plan and execute research experiments under supervision and communicate results and conclusions in group meetings.
• Contribute to ongoing research and development projects in a fast-paced, collaborative environment.
• Maintain detailed and accurate lab notebooks to document research findings.
• Ensure proper upkeep of lab equipment, laboratory supplies, and maintain good housekeeping standards.

Job Qualifications

• A BSc in Chemical Biology is preferred. Applicants with a BSc in Chemistry, Biology, or related disciplines with relevant skill sets may also be considered.

Job Requirements

• Chemistry lab skills: Proficient in the synthesis and purification of compounds (using flash column chromatography, preparative HPLC), and compound characterization techniques (LCMS, HPLC, NMR).
• Biology lab skills: Proficient in cell culture, SDS-PAGE, Western Blot, pulldown and co-immunoprecipitation assays.
• Chemical Biology lab skills: Experience with Activity-Based Protein Profiling (ABPP), Affinity-Based Protein Profiling (AfBP), and chemoproteomics is a plus.
• Candidates without prior experience but with a strong desire and commitment to learn are also encouraged to apply.
• Passion for interdisciplinary research.
• A committed, self-motivated individual with a desire to learn new skills and take on new responsibilities.
• Excellent written and verbal communication skills.
• Strong interpersonal skills, team-oriented with a collaborative spirit and the ability to build relationships internally and externally.

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.