Job Description:

We are seeking a highly skilled and motivated Research Officer specializing in AI and spatial multi-omics to join our cutting-edge research team. This role focuses on advancing cancer immunotherapy (IO) for Asian-prevalent tumors through the integration of Generative AI techniques and spatial multi-omics data analysis. This position offers a unique opportunity to address critical challenges in immunotherapy, such as the identification of effective biomarkers and an in-depth understanding of the tumor microenvironment.

Key Responsibilities:

1. Multi-Omics-IO Classifier Development: Develop and validate a classifier to integrate IO biomarkers identified from the multi-omics analyses, benchmarked against conventional markers (e.g., PD-1/PD-L1).

2. AI Model Development: Create AI models for virtual staining to visualize gene expression and multi-omics biomarkers.

3. Collaboration & Reporting: Collaborate with pathologists, immunologists, and AI researchers to ensure robust, clinically relevant model development. Prepare reports, presentations, and manuscripts for publication.

Requirements:

• Bachelor degree in AI/ML, or a related field with a strong focus on imaging and deep learning.
• Technical Skills: Expertise in AI techniques and experience in omics data analysis.
• Strong programming skills in Python or R, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Domain Knowledge: Familiarity with cancer immunotherapy and biomarker development.
• Analytical Skills: Proven experience in developing and evaluating complex machine learning models, especially for biomarker discovery and clinical applications.
• Collaboration & Communication: Excellent interpersonal and communication skills to work effectively within a multidisciplinary team of scientists, clinicians, and technical staff.
• Preferably with experience with virtual staining, explainable AI, and histopathological analysis. A track record of publications in high-impact journals and presentations at scientific conferences. Prior experience in developing and applying AI models in healthcare or clinical settings is a plus.

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

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

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.

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

Desktop Support Engineer (Band 1)

Working Location: Tuas / Jurong / Changi (Client Site)
Working Days : 5 Days ( Mon- Fri)
Working Hours: 8am-5pm
Salary Range: $2,600 - $2,800

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

In addition the Band 1 Technician will mentor and assist Band 0 technicians in their work and provide support to Band 2 Technicians in resolving tickets.

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.

- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.

- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.

- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:

- Bachelor degree or above, computer, electronics, mathematics and other related majors.

- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..

- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.

- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:

- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.

- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.

- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.

- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.

- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.

- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:

- Bachelor degree or above, computer, electronics, mathematics and other related majors.

- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..

- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.

- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:

- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.

- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.

- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

You will grow your career at NEA’s Environmental Health Institute (EHI), where you will design and conduct field and laboratory research to assess and mitigate bioaerosol exposure concerns in the built environment. Key areas of focus include bioaerosol science, indoor air quality, and environmental transmission of airborne diseases. You will contribute to the development of national environmental public health policies and work with stakeholders to translate scientific findings into policy and operations. As a member of the NEA/EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as leadership, management and communication.

Job Requirements:

• Excellent knowledge of bioaerosol and indoor air quality management. BLS2 and BSL3 trained is preferred.
• Experience in designing and leading lab experiments on bioaerosols and study various airborne microbiome (including sampling, laboratory analysis, and data analysis)
• Experience in data analysis/statistical analysis
• Possessing a valid Class 3 driver’s licence and willingness to drive NEA’ car to field sites is preferred
• Capacity for systems thinking and inclination for trans-disciplinary science
• Strong interest in public health research, policy, and operations
• Excellent organisational, analytical, communication, and interpersonal skills
• Able to multi-task and work independently in a fast-paced environment
• Open to developmental opportunities.

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.

- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.

- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.

- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:

- Bachelor degree or above, computer, electronics, mathematics and other related majors.

- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..

- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.

- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:

- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.

- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.

- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Product Development and Management Executive (Cosmetic)

Working location: Pasir Panjang

Working Days: 5 days work

Working hours : 9am - 6pm
Salary Range: $3500 to $4200

Responsibilities:

1. New product planning:

• Analyse industrial trends, market data and customer insights to derive constructive ideas and information for the purpose of NPD.
• Define product competitive positioning and unique selling proposition (USP).

2. New product development (NPD):

• Responsible for entire NPD process; from concept initiation to completion, for both new product and reformulations.
• Take the lead in close collaboration with cross functional teams such as Regulatory, Marketing, Supply chain, Contract manufacturers, R&D and Quality, for seamless on-time delivery of products.
• Source for contract manufacturers and liaise with formulators to develop new product; be the main contact point with these suppliers for NPD/ formulation discussions.
• Review formulas and ingredient/ design statements for new product that is compliant with regulations.
• Familiar with the concept of product challenge test, stability, and compatibility studies.
• Research market prices, create accurate product costing data and propose product pricing.

3. New product introduction:

• Conduct product training to regional trainer/marketing team and key leaders of salesforce.

4. Post-launch product management:

• Analyse product performance and identify actions required.
• Manage product feedback and propose technically sound customer-centric reply.
• React to necessary corrective and preventive actions (CAPA) raised by Quality.

5. Contribute for and implement standard procedures (in compliance with industrial standards and QMS requirements) for any product development and management activities or as assigned.

Requirements:

• Degree in Cosmetic Science or Chemistry.
• Minimum 2 years of experience in product development/ management in the cosmetic and skin care industry.
• Bonus if candidates have prior experience with beauty/personal care/medical device.

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

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 Dr. Tian Chong on organic synthesis under a project on Bridging Chemistry and Biology: synthesis, structure, and properties of Mechanically Interlocked Peptides (MIPs).

The main responsibilities of the position include:

• Research tasks (90%): to carry out research to design and synthesize rotaxanes via novel active template strategies.
• Laboratory safety/ordering (10%): to aid in ordering and maintaining lab supplies, create and review standard operating procedures and risk assessments, assemble reagents, chemicals and media that are needed for experiments.

Qualifications

Qualifications / Discipline:

• PhD of Science required with major in Organic Chemistry. Candidate with strong background in organic synthesis and excellent record of publication is preferred.

Skills:

1. Have an excellent understanding of chemistry.
2. Have expertise in multi-step synthesis.
3. Communicate well in English in writing and in oral and visual presentations.
4. Show an ability to work supportively in a laboratory environment.

Experience:

• Experience in organic synthesis and spectroscopic techniques for compound characterization.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow will be responsible for working closely with the Principal Investigator to conduct research focused on improving the safety of large language models (LLMs) using explainable methods.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

RESEARCH ENGINEER

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

Sonar solves the trillion-dollar challenge of bad code. Sonar equips organizations to achieve and sustain a Clean Code state by empowering developers to write consistent, intentional, adaptable, and responsible code. Clean Code produces software that is maintainable, reliable, and secure, allowing development teams to spend less time fixing issues and more time innovating. With Sonar, and by employing the company’s Clean as You Code methodology, organizations minimize risk, reduce technical debt, increase productivity, and derive more value from their software in a predictable and sustainable way.

Sonar’s open-source and commercial products – SonarLint, SonarCloud, and SonarQube – support over 30 programming languages, frameworks, and infrastructure technologies. Trusted by more than 500,000 organizations and used by more than 7 million developers globally to clean more than half a trillion lines of code, Sonar is integral to delivering better software.

Sonar is looking for a passionate Research Engineer who loves to explore ways to improve our products using LLMs. You will be part of our Research and development team, which drives the innovation of new technologies that power our products.

The impact you will have

With your domain expertise and experience, you will guide Sonar in the new era of AI. You will explore state-of-the-art LLMs and new feature ideas that help push our products to the next level. By prototyping and deploying visionary features, you are preparing the next generation of our Clean Code solution that is loved by millions of developers around the globe.

On a daily basis, you will

• Have fun in an expert team full of creative and passionate researchers
• Stay up-to-date with the advancements of LLMs in the industry
• Discuss and qualify new innovation opportunities for our products that leverage LLMs
• Prototype and evaluate new AI-powered product features for developers
• Together with the engineering team, contribute to the deployment and maintenance of our LLM features

The skills you will demonstrate

• You received a university degree
• You have a good understanding of the overall architecture and building blocks of LLMs
• You have hands-on experience with deploying AI-related features in software products
• You have sound programming skills and are familiar with modern software development tools (e.g. CI/CD, Docker, Kubernetes)
• You have solid cloud computing experience (preferably with AWS ecosystem).
• You have a product mindset and can easily collaborate with PMs and UI designers to adapt our new features to user needs.
• You are fluent in English, both written and spoken, and can understand and explain complex technical topics

Why you will love it here:

• Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

• We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

• We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

• We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.

We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

• We seek out for a researcher with a PhD in Physics or similar. In particular the candidate is expected to have a strong back ground in many-body quantum physics with extensive experience in tensor networks and neural network quantum states.
• The researcher will work on developing the numerical approaches and apply them to areas such as quantum thermodynamics, many-body quantum systems out of equilibrium and biology.
• High competence in parallel programming and GPU programming is preferred.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a full-time (42 hours per week) Research Fellow for 36 months appointment to commence in Feb/Mar 2025 or as soon as possible.

The project is to conduct research on how the acoustic environment of a room affects and facilitates teaching pedagogy. The focus will be on optimizing architectural design to improve speech intelligibility. The study will also investigate sound reinforcement systems to enhance the speech intelligibility.

The proposed research project includes several actual social science, architectural and engineering difficulties, from building design to the integration of technologies, human perception and material science. The research fellow is responsible for data analysis, laboratory-testing and field-testing within the project period

Qualifications

Professional requirements:

• PhD (or equivalent) in acoustics (preferred specialisation: Architectural acoustics) or related discipline.
• Essential are demonstrated knowledge related to acoustic modelling, signal processing, and speech Intelligibility.
• Essential are demonstrated excellent data analytic skills, ideally with machine learning.
• Essential is the ability to design and run listening experiments.

Other general requirements:

• Essential is a demonstrated ability to undertake high quality academic research with limited supervision.
• Essential are outstanding academic writing skills, as demonstrated by a strong track record of publications relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.

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 postdoctoral position is focused on the development of a novel 3D-printed bone implant utilizing natural. The goal is to create a bone substitute that can be customized to patient-specific anatomy and effectively integrate with native bone tissue. The successful candidate will be responsible for leading research activities in material formulation, 3D printing process optimization, and in vitro/in vivo validation of the implant prototype. This is a 1-year Research Fellow position with the possibility of extension.

Qualifications

• Ph.D. in biomedical engineering, mechanical engineering, materials science, or a related field

• Expertise in biomaterial design, 3D printing technologies, and tissue engineering

• Demonstrated experience in material characterization and in vitro cell culture

• Strong publication record

• Excellent English written and oral communication skills

• Team player, able to work collaboratively in a team environment

Job Description:

• To lead, coordinate and work with cross functional teams such as tools suppliers, equipment engineers, process engineers, facility engineers, environment health and safety officer, contractors for tool placement plan.
• To participate in the evaluation, planning and supervision of projects including testing and commissioning.
• To provide support for new chemical and gas evaluations. Plan and execute specialty gas system release/unhooking up.
• To carry out overall cleanroom capacity modelling and planning, work with manufacturing, process and equipment engineering to ensure requirement is met.
• To review capacity model, understanding the constraints and re-lay the equipment layout in the cleanroom to maximise the cleanroom space usage.
• Management of contractor?s services to ensure fulfilment of contracts terms and agreements.
• Identify opportunities for innovation that are relevant and appropriate to the company business objectives
• To review capital and cashflow requirements, driving activities to improve capital efficiency and reduce cost.

Requirements:

• Degree, Diploma in Engineering (Chemical, Mechanical, Electrical/Electronic, Building Management) or equivalent.
• Degree with 3 years and Diploma with 5 years related experience in
• Manufacturing of Semiconductor, Wafer Fab.
• Able to work in fast-paced environment, proactive and able to work independently with minimum supervision, self-driven and self-motivate to get job done.
• Able to work in a manufacturing, production, cleanroom environment.
• Technical knowledge in Facilities Support System such as ACMV, HVAC, Scrubber, Electrical, Compressed Dry Air, Nitrogen, Hydrogen, Process Cooling Water, Ultra-Pure Warter, Chilled Water, Wastewater Treatment etc.
• Possess Project Management skills.
• Strong understanding of building codes, HSE laws, regulations and best practices and the ability to interpret/translate these into compliance activities
• Proficient in utilizing Excel, Power Point, Project, Word & Visio, AutoCAD.

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

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 Prof. Somin Park on next-generation optoelectronics under a project on start-up grant.

Our group is looking for candidates with a background in material synthesis (organic synthesis, polymer chemistry), photoelectron spectroscopy, photophysical characterization, or practical experience in optoelectronic applications. The ideal candidate will have the opportunity to develop and lead their own research projects while collaborating with interdisciplinary teams worldwide and providing mentorship to fellow team members.

The main responsibilities of the position include:

• Design and optimize materials for various optoelectronic applications
• Conduct electrical photophysical characterizations
• Mentor and supervise graduate students and research assistants working on related projects

Qualifications:

- A PhD in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or related fields
- Strong publication record in peer-reviewed journals

Skills:
- Material design, characterizations
- Good communication skills, both written and verbal in English

Experience:
- Material synthesis, advanced characterizations, and practical experience in optoelectronic applications

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

Research Engineer position in the Department of Materials Science and Engineering at National University of Singapore (NUS).

With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. We are seeking a talented and experienced individual with expertise in material chemistry and chemical engineering to join us.

As a Research Engineer, you will contribute to industry project focusing on scaling up our electro-metallurgical battery recycling technology from lab to pilot scale. Your major focus will be developing a process to synthesize precursor materials (pCAM) with extracted metals from spent battery materials.

• Lead pCAM synthesis processes at the R&D and pilot scale by working in collaboration with engineering team.
• Able to establish process design and synthesis rules to obtain precursors with optimal composition, interfacial properties, crystal structure, particle size, morphology, and electrochemical characteristics.

Qualifications

1. Bachelor or Master in Materials science and engineering, Chemical engineering, Material chemistry, or any relevant field.
2. Minimum of 2 yrs experience in MHP, pCAM synthesis (precipitation, crystallization).
3. Prior experience in process development and piloting new technologies is highly preferred.
4. Experience with material characterization techniques like SEM/EDS, ICP, XRD, FTIR.
5. Strong analytical skills and experience in data analysis and interpretation.
6. Highly motivated, detail-oriented, and able to work independently as well as part of a team in a fast-paced academic environment

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One postdoc position is available at the Surface and Interface Lab in Prof. CHEN WEI’s group, National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for artificial neuromorphic electronics under a project on “Interface Controlled 2D Devices and Solid-State Batteries".

This project aims to advance the field of photon-modulated organic electrochemical transistors (OECTs), with a particular focus on photon-modulated electrochemical doping systems for flexible OECTs. This research is critical for advancing OECT-based circuits in bioelectronics, wearable electronics, and artificial neuromorphic electronics (e.g., optoelectronic synapses). A postdoctoral researcher is sought to contribute to this cutting-edge research, which lies at the intersection of organic semiconductors, materials science, and electrochemistry. The successful candidate will engage in the synthesis of channel-layer materials, the investigation of photoresponsive mechanisms and interfacial electrochemical processes, as well as the development of flexible organic optoelectronic synapses for applications in physiological signal monitoring and related fields.

Qualifications / Discipline:

- The candidates shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish a few papers on top journals.

Skills:
- Excellent English writing and communication skill, team management skill (help PI to lead a small research team with 1-2 master students).
- Experience in synthesizing organic semiconductor materials and characterizing OECTs, complemented by a strong background in structural characterization techniques such as TEM, SEM, AFM, XRD, UV-Vis, and GC-MS.
- Proficiency in surface science techniques, including XPS, UPS, and NAP XPS, is required.
- Practical experience with electrochemical analysis techniques is necessary, along with the ability to proficiently operate a range of electrical testing equipment, including semiconductor parameter analyzers, cyclic voltammetry devices, and probe stations.
- Proficiency in EPR spectroscopy, with a focus on analyzing organic radicals involved in both electrochemical and photochemical processes. Additionally, experience in studying ions and their behavior in these reactions is required.
- A strong background in computational chemistry, including hands-on experience with density functional theory (DFT) calculations, and the capability to independently design and perform related tasks.

Experience:
- Proficiency in the fabrication processes of organic electrochemical transistors (OECTs) is essential, along with a comprehensive understanding of solid-state electrolytes, such as ionic liquid gels and hydrogels.
- Candidates should also have in-depth knowledge of organic radicals and their behavior in electrochemical environments, as well as extensive research experience in charge transfer mechanisms between organic molecules, with a focus on their roles in electrochemical and optoelectronic systems.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Fellow to contribute to cutting-edge research in the field of phage biology, focusing on bacteria from the human microbiome under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). The candidate will lead experimental phage projects, design and execute research strategies, and play a pivotal role in advancing the understanding of bacteriophage dynamics in human and environmental microbiomes.

Key Responsibilities:

• Lead research projects focusing on phages targeting bacteria within the human microbiome.
• Develop, implement, and manage experimental plans under the guidance of the Principal Investigator.
• Conduct molecular microbiology experiments, analyze data, and troubleshoot experimental issues.
• Prepare progress reports, present findings in lab meetings, and contribute to research discussions.
• Write, edit, and submit high-quality manuscripts for peer-reviewed publication.

Qualifications

Education: Ph.D. in Molecular Microbiology, Microbial Ecology, or a closely related field, with a strong emphasis on phage research.

Technical Expertise:

• Hands-on experience in phage research, including phenotypic analysis, sequencing, and genomic studies.
• Proficiency in molecular microbiology techniques, such as DNA/RNA extraction, PCR, cloning, and bacterial culture.

Research Skills:

• Familiarity with experimental evolution studies and genomic taxonomy.
• Experience with bioinformatics tools for sequencing data analysis is an advantage.

Professional Attributes:

• Highly organized, detail-oriented, and capable of managing multiple projects.
• Demonstrates independent judgment, strong problem-solving skills, and the ability to deliver quality work within tight deadlines.
• Excellent teamwork and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary research environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow who will be responsible for designing and implementing next generation communication and networking technologies and protocols.

Responsibilities:

• Design and develop communication and networking protocols related to resource allocation, channel access, security related protocols for 5G/6G environments;
• Perform analysis and simulations to validate designs;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

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

HYCOMBS Project is looking for a Research Fellow : Experimental study of ammonia medium-duty engine : effect of H2 blending versus diesel pilot ignition (HYCOMBS Project)

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

In the WP4 of HYCOMBS project, the objective is to improve the combustion process in medium-duty engine. Retrofit engine in order to fill with ammonia requires some small changes, mainly relative to its auto-ignition characteristics. If the compression ratio is not higher than 20, to reach compression ignition more reactive species are needed as the pilot injection of diesel (Advanced Compression Ignition Engine) or to add a spark plug (Si engine with diesel flow field). Up today, even if the number of works on Ammonia engine increase (80 papers in 2024) it is evident that the processes are not sufficiently characterized to develop accurate tools to predict these combustion development [1], [2], [3].

The objective of this post-doc position is first to provide accurate experimental data base highly resolved in space and time to study the fundamental of combustion using NH3, blended with H2 or Diesel type fuel to help CFD model development. This will be done in an optical combustion chamber in Singapore. Second, experimental engine tests will be done in light duty and medium duty to evaluate the scale change and as a function of the 2 ignition strategies. Combustion specifications, performances and pollutant emissions with a special attention of the NOx emissions will be characterized and analyzed. This will be done in collaboration with NTU team.

Reference

1) Xinyi Zhou, Tie Li, Ning Wang, Xinran Wang, Run Chen, Shiyan Li, Pilot diesel-ignited ammonia dual fuel low-speed marine engines: A comparative analysis of ammonia premixed and high-pressure spray combustion modes with CFD simulation, Renewable and Sustainable Energy Reviews, Volume 173, 2023, 113108,

2) William F. Northrop, Modeling nitrogen species from ammonia reciprocating engine combustion in temperature-equivalence ratio space, Applications in Energy and Combustion Science, Volume 17, 2024, 100245,

3) Dupuy A, Brequigny P, Schmid A, Frapolli N, Mounaïm-Rousselle C, The Journal of Ammonia Energy 01 (2023) 011–020, Experimental study of RCCI engine – Ammonia combustion with diesel pilot injection

EXPERIENCE & QUALIFICATIONS

Ph.D. in mechanical engineering

Skills:

• Experience of engine experiments with combustion analysis
• strong experience with post-processing tools for engine combustion analyses
• oral and written communication to report to the partners and for conferences and peer-review journal.

FURTHER INFORMATION & CONTACT

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

Start May 2025

Duration: 18 months

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus, + some stays will be in Orléans France, Laboratoire PRISME

Interested applicants please contact: Pr. Christine MOUNAÏM-ROUSSELLE, [email protected]

Subject template for application by email:

HYCOMBS – Position – Name of the offer. Documents: CV and a recommendation letter to be sent directly by the candidate to the supervisors.

HYCOMBS Project is looking for a Research Fellow : Experimental study of turbulent-combustion interaction for premixed flames of various NH3/H2/CH4/air blends (HYCOMBS Project)

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

In the WP2 of HYCOMBS project, the objective is to improve the knowledge and understanding of flames with non-conventional fuels to improve CFD model. Turbulent-combustion interaction for NH3/air, NH3/CH4/air, NH3/H2/air mixtures remains not well understood and few data are currently available [1-3].

The objective of this post-doc position is to provide accurate experimental data base highly resolved in space and time to study the fundamental of combustion using various NH3, H2 and CH4 blends and to help CFD model development. These tests will be conducted in a spherical combustion chamber with isotropic and homogeneous turbulence at different initial thermodynamics conditions, i.e. temperature and pressure with different types of mixture [4]. In a first part several optical diagnostics will be implemented and evaluated in order to deeply study flame propagation and flame/turbulence interactions such as: PIV, 3D Mie-Scattering tomography as in [5], OH* PLIF, etc. Main part of the work will consist of the data analysis to characterize the interaction. The database will be done and discussed with the others partners of fundamental combustion tasks, and especially CARES team.

Reference

1) Lhuillier, P. Brequigny, F. Contino, C. Rousselle, Experimental investigation on ammonia combustion behavior in a spark-ignition engine by means of laminar and turbulent expanding flames, to appear, Proceedings of the Combustion Institute 2020

2) Qingshuang Fan, Xin Liu, Leilei Xu, Arman Ahamed Subash, Christian Brackmann, Marcus Aldén, Xue-Song Bai, Zhongshan Li, Flame structure and burning velocity of ammonia/air turbulent premixed flames at high Karlovitz number conditions, Combustion and Flame, Volume 238, 2022,

3) Jian-Bin Cao, Jun-Qiang Ma, Guo-Xiu Li, Hong-Meng Li, and Rong-Pei Jiang, Energy & Fuels 2024 38 (18), 17965-17977 DOI: 10.1021/acs.energyfuels.4c02942

4) Seif Zitouni, Pierre Brequigny, Christine Mounaїm-Rousselle, Turbulent flame speed and morphology of pure ammonia flames and blends with methane or hydrogen, Proceedings of the Combustion Institute, Volume 39, Issue 2, 2023, Pages 2269-2278,

5) Pervez Ahmed, Benjamin Thorne, Malcolm Lawes, Simone Hochgreb, Girish V. Nivarti, R. Stewart Cant, Three dimensional measurements of surface areas and burning velocities of turbulent spherical flames, Combustion and Flame, Volume 233, 2021, 111586,

EXPERIENCE & QUALIFICATIONS

Ph.D. in mechanical engineering

Skills:

• Experience of designing and implementing experimental methods, with fundamental knowledge in fluid mechanics, premixed combustion, turbulence
• strong experience with optical diagnostics
• strong experience in matlab tools to develop accurate post-processing
• oral and written communication to report to the partners and for conferences and peer-review journal.

FURTHER INFORMATION & CONTACT

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

Start January 2025

Duration: 18 months

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus, + some stays will be in Orléans France, Laboratoire PRISME

Interested applicants please contact: Pr. Christine MOUNAÏM-ROUSSELLE, [email protected]

Subject template for application by email:

HYCOMBS – Position – Name of the offer. Documents: CV and a recommendation letter to be sent directly by the candidate to the supervisors.

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.