Who are we?

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

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

Who are we looking for?

The Gaunt group are looking for passionate and creative scientist to join our team as postdoctoral researchers in synthetic chemistry based in Cambridge Centre for Advanced Research and Education in Singapore, and closely integrated with the Gaunt group @ the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor Matthew Gaunt, working at the forefront of cutting-edge synthetic methodologies and their applications (https://www.thegauntgroup.com/).

The synthetic chemist at CARES will be supervised by Prof. Gaunt and will join a “Synthesis Team” of the larger SM3 project, which will involve close collaboration with Profs. Ming Joo KOH (NUS) and Shunsuke CHIBA (NTU). The “Synthesis Team” will be supported by the “AI team”, co-led by Profs. Philippe Schwaller (EPFL), Alexei Lapkin and Markus Kraft (Cambridge/CARES).

Position Overview: As a postdoctoral researcher, you will be involved in designing and developing catalytic activation modes that lead to new synthetic transformations. Synthetic chemists are uniquely placed to leverage catalytic systems to design reactions that control structure and function at a molecular level in all types of bioactive complex molecules. We are looking for experts in synthetic chemistry who are interested in taking on new challenges and exploiting their experience to explore new areas of catalyst-controlled reactivity that lead to an expansion of accessible chemical space.

What skills do you have?

We are looking for passionate and creative scientists to work as part of a collaborative team. Excellent organisational and interpersonal skills are required to ensure success in liaising with a large and diverse research team. Essential requirements include: Ph.D. in Organic Chemistry, Strong background in synthetic organic chemistry, and Demonstrated track record of high-quality research.

When is the position available and for how long?

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

What can we offer you?

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

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

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

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

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

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

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, the Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between the University of Cambridge, Nanyang Technological University and the National University of Singapore.

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.

The project:

In the context of the multi-partner project HYCOMBS (https://www.cares.cam.ac.uk/research/hycombs/), which is part of Singapore’s CREATE investment in Decarbonisation (https://www.nrf.gov.sg/files/Media_Release_CREATE_Decarbonisation_Challenge_with_ANNEX_A__B_final.pdf), a large number of positions have become available to research hydrogen and ammonia combustion.

The project is a collaborative effort between CARES, CNRS, NTU, NUS, NTNU (National Technical University of Norway) and Tohoku University (Japan). All the positions are held in Singapore and will normally last 2 years in the first instance, with the possibility to extend if funding is available. The successful candidate will be working under the academic supervision of one of the project’s partners depending on the particular skills and interests of the researcher. Short stays in Japan, France and Norway for working in the partner laboratories are envisaged for some of these positions. In the first instance, your application will be reviewed by CARES and re-directed to the appropriate institution and Primary Investigator.

CARES: www.cares.cam.ac.uk

Tohuku University: https://www.ifs.tohoku.ac.jp/eng/

CNRS: https://www.cnrsatcreate.cnrs.fr/

NTNU: https://www.ntnu.edu/ept

NUS: https://cde.nus.edu.sg/me/

NTU: https://www.ntu.edu.sg/mae

Who are we looking for?

We are seeking highly motivated combustion researchers to work in the following areas:

1) Kinetics: (i) Experiments with flow reactors and laminar flames. The successful applicant will be skilled in analytical combustion chemistry systems such as gas chromatography and laser detection; (ii) Development of detailed and reduced chemical mechanisms. Experience in combustion chemistry modelling is needed.

2) Laminar and turbulent flame fundamentals: (i) Experiments with laminar pulsed and turbulent swirl flames. Skills in flame rig design, laser diagnostics and optical methods for flames are needed. (ii) Modelling with combustion Computational Fluid Dynamics (DNS, LES), with experience in the fundamentals of turbulent combustion, CFD and massively-parallel computations.

3) High-pressure combustion: Experiments and simulations for reciprocating engines and gas turbines. For the experimental positions, the successful candidate must be skilled in optical diagnostics, engine combustion, swirl combustion, fluids handling and data analysis. For the modelling positions, experience in CFD of engines or gas turbine combustors is a prerequisite.

4) Detonations and ignition risk analysis with CFD. The position involves high-order CFD methods for capturing detonations and turbulent flow analysis for ignition. The successful candidate must be experienced with CFD.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D. The experimental positions need strict adherence to Health & Safety protocols and experience in developing experimental facilities at a professional level.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-hycombs. If you have any questions, please feel free to reach out to the HR team at [email protected].

Who are we?

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

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

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow with a PhD in a relevant field of Computer Science / Chemical Engineering / Chemistry, who combines strong ML/AI expertise with chemical knowledge.

What skills do you have?

The ideal candidate should be skilled in Python programming, experienced with LLMs and chemical reaction databases, and capable of handling reaction data analysis. They should be able to work across disciplines and have a track record of published research.

When is position available and for how long?

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

What can we offer you?

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

· Close interaction with the home group of lead academic at EPFL

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

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

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

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

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-data-scientist-chemical-engineering-for-sm3-ps. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Professor Philippe Schwaller ([email protected]).

Responsibilities:

• Provides assistance to the research team

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

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

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

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

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Responsibilities

About Doubao (Seed) Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application 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

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Minimum Qualifications

1. At least hold a Master degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application; 5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are 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.

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

Key Responsibilities:

• Employing automated methods for gathering and pre-processing data on malware.
• Designing and developing new model that enhance automation for the extraction of more representative features.
• Building deployable systems based on the research results.
• Writing research papers of high quality based on research results.

Job Requirements:

• Master’s degree in Computer Science Or Software Engineering or other related areas.
• Experience on data analysis, design and implementation of neural models (e.g., LSTM, CNN, RNN).
• Research experience on deep learning-based applications.
• Proficient in programming for crawler and data processing tasks.
• Good communication and writing skills.

We regret that only shortlisted candidates will be notified.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

Minimum Qualification

- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.

- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

Preferred Qualifications

- Excellent problem analysis and solving skills, and passionate about solving challenging problems.

- Passionate about technology, good communication skills and teamwork spirit.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

The National Heart Research Institute Singapore, based at the National Heart Centre Singapore, is currently offering a job opportunity to work with our Clinician Scientist in the area of cardiac imaging. The applicant needs to have experience in computer programming and be comfortable working with large imaging datasets coupled with multi-omics. There will also be opportunities to work with magnetic resonance physicist in sequence programming.

Requirements

· Doctorate degree (MD or PhD) or Masters (MSc) in computer science or related

· Experience in image processing and analysis in cardiac MRI is preferred

· A team player and also able to work independently, demonstrating effective collaboration skills

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.

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 Liujun Zou on physics under a project on Exploring novel quantum many-body states.

The main responsibilities of the position include:

Doing theoretical research, giving seminars, attending conferences, writing papers, etc.

Qualifications/Requirements

• Qualifications / Discipline: Outstanding achievement and promising potential in physics.

• Skills: All necessary skills in theoretical physics.

• Experience: Outstanding achievement in theoretical physics.

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations
• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics.
• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding.
• Enthusiasm, good communication skills, and being able to conduct independent research.

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

We are looking for a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The position will focus on modeling the dynamics and fabricating cryogenic components for the superconducting levitation of ferromagnetic particles.

This levitated, freely precessing particle forms a system of correlated spins, capable of rapidly averaging out quantum uncertainty. By harnessing this system, we aim to develop quantum sensors with sensitivities that exceed the standard quantum limit.

This position is based in the Quantum Innovation Centre (Q.Inc) and Institute of Materials Research and Engineering (IMRE). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Learning to operate a dilution refrigerator

Job Requirements:

• Bachelor's or master’s in physics, Applied Physics, Precise Instrumentation, or related fields
• Past experience in the job activities listed above is preferred, but a strong willingness to learn is sufficient. Trainings will be provided.
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Basic programming skills (e.g., Python, MATLAB)
• Mechanical design
• Ability to work as a team and communicate effectively

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.

• Oversee and set the strategic direction for R&D and Sales, ensuring alignment with company goals to drive growth and innovation.
• Develop and implement sales strategies to increase revenue and expand market share.
• Ensure R&D efforts focus on creating products that meet customer needs and market demands.
• Lead and foster a collaborative culture between R&D and sales teams to ensure seamless product development and market delivery.
• Collaborate closely with marketing, production, and operations to ensure timely and efficient product launches.
• Monitor sales performance, set objectives, and analyze results to continuously optimize the sales process.
• Manage key performance indicators (KPIs) for both R&D and Sales teams, ensuring alignment with business objectives.
• Establish strong relationships with customers and external stakeholders to gather feedback and identify new market opportunities.
• Manage R&D and sales budgets, ensuring cost-effective operations while maintaining quality and performance standards.

Requirements:

• Bachelor’s degree in Food Science or a related field.
• A minimum of 10-15 years of experience in R&D and sales within a manufacturing environment.
• Fluency in Japanese to communicate effectively with Japanese clients and headquarters.
• Proven ability to lead high-performing teams with strong interpersonal and communication skills.
• Strong understanding of market trends, customer behavior, and the competitive landscape.
• Expertise in formulating and executing sales and R&D strategies aligned with business goals.
• Solid financial acumen, including budgeting, forecasting, and cost management.
• Excellent problem-solving, decision-making, and strategic thinking skills.

We are currently recruiting a Research Assistant to work in translational respiratory research investigating infectious and immune consequences in chronic inflammatory lung diseases such as asthma, COPD and bronchiectasis. The individual should have a track record in molecular biology techniques such as DNA/RNA extractions & RT- PCRs. and should be comfortable in handling patient derived specimens. The individual should be able to work independently, multi-task & work collaboratively in a cross-disciplinary research environment.

Successful candidates will have the opportunity to work with an international and multidisciplinary team of investigators including close collaborations with respiratory and infectious disease clinicians nationally and the other schools within the wider NTU community where the lab already has existing collaborative projects.

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

Key Responsibilities:

Laboratory:

• Ensure that lab is adequately stocked with clean glassware, chemicals, etc. required for experiments
• To operate and maintain microbiome & other lab equipment
• To perform biological sample processing, DNA extractions, PCRs, basic microbiological techniques
• To perform daily lab management tasks such as inventory of supplies and samples, preparing sample processing media and solutions, ordering supplies and stocks, general housekeeping
• Ensure that standard operating procedures and safety regulations are followed
• To perform other related duties

Administrative:

• Maintain a systematic record of all purchases & track sources of funding
• Liaise with vendors and administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• To prepare lab for safety audits and maintain and update lab safety folder and inventories
• To assist post docs with conducting research studies by preparing sample packs, study questionnaires etc., coordinate and work closely with research teams from multiple sites across Singapore

Key Requirements:

• Degree in life sciences or equivalent in any relevant field of molecular biology
• Expertise in molecular and microbiological laboratory techniques
• Basic level Microsoft Excel & PowerPoint skills
• Good written and oral communication skills
• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details/ excellent organizational / time management skills

Location: Pioneer

Duration: 6 Months Contract

Salary Range: $4K - $4.5K

• Assist with research in the department
• Dealing to qualitative and quantitative research data
• Other ad hoc duties assigned

Requirements

• Comfortable working with quantitative data
• Familiar with SPSS
• Familiar with aspects of quantitative analysis from the preparation of data to multivariate analyses

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on optimizing the processing of multi-modal input (especially a combination of event (neuromorphic) vision sensors and RGB camera sensors) for visual grounding tasks, and for also embedding such optimizations in early prototypes of AI-based systems for text+vision tutoring support (e.g., for geometry learning).

Successful candidate will be part of an active research team led by Prof Archan Misra from School of Computing and Information Systems, Singapore Management University.

The candidate will have the following key duties:

• Develop and implement new algorithms for efficient processing of hybrid RGB & event vision streams to extract semantically relevant sensory data for visual grounding tasks.
• Develop and implement optimizations to DNN inferencing pipelines, including the integration of Spiking Neural Network (SNN) models, to reduce latency of visual grounding AI models without adversely affecting accuracy.
• Conduct experimental studies (including generation of training data) to quantify the resulting system performance and generate appropriate analytical artifacts (e.g., graphs, reports) to document such performance
• Support the research team to produce high-quality research publications

• Minimum Bachelor degree in Computer Science, Computer Engineering, or closely related disciplines from a reputable institution of higher learning
• 2+ years of relevant research experience in developing and implementing AI models for advanced visual perception tasks
• Coding experience with DNN and vision AI frameworks, such as pyTorch, TensorFlow and/or OpenCV, is essential.
• Project-level experience with vision DNNs and SNNs (Spiking Neural Networks), especially involving data generated by event-based vision (aka neuromorphic) sensors, is essential
• Ability to work cooperatively as part of a small, agile academic research team is essential
• High quality publications in academic venues related to AI for vision and low-power embedded systems is strongly desired

#LI-JN2

Responsibilities:

1. Develop distributed artificial intelligence systems and deploy them on large-scale clusters or clouds.
2. Develop and optimize algorithm systems from specific scenarios and problems, and produce solutions applied to the scenarios.
3. Participate in the integration design and optimization of artificial intelligence technology and existing tools to improve product performance.
4. Write high-quality scientific papers and have the opportunity to serve as the first author of important papers.

Requirements:

1. Proficient in TensorFlow/PyTorch, Ray/DeepSpeed/NVIDIA Megatron, and familiar with the internal operating mechanisms of these systems.
2. Familiar with various optimization algorithms and model architectures, proficient in Python or C++ optimization algorithm libraries, including various classical algorithms and models based on gradients (BERT, GPT-3, Swin Transformer, ViT, MLP-Mixer).
3. Familiar with SaaS, architecture, compilers, networks, CUDA, and other related knowledge or have relevant project experience.
4. Strong programming and engineering implementation abilities. Those who have won programming competition awards or published high-quality papers will be given priority in recruitment.
5. Bachelor's degree or above from 211, 985, or overseas well-known universities, majoring in computer science, software engineering, electronic information, automation, mathematics, physics, or other artificial intelligence-related majors.

• Excellent career progression structure
• Opportunities for professional development
• Good overall company benefits

As a Research Analyst, you will be responsible for the following duties:

• Conduct statistical analyses and support research projects utilizing SPSS or STATA software.
• Oversee the organization’s databases, perform data extraction, and prepare statistical reports.
• Provide assistance in coordinating research projects, including handling tasks related to ethics approval and research funding applications, if required.
• Perform other ad hoc duties as assigned.

Requirement:

• Possess a Degree n in Statistics, Mathematics or other relevant areas.

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email

Email Address: [email protected]

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

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

About Research Department:

The Research Department supports the agency’s programmes and services, through evaluations, implementation research, feasibility studies, needs assessment, ground sensing, and primary and secondary research. We also support programme development in terms of writing Theory of Change (TOC), design thinking and evidence synthesis.

We are seeking motivated and independent individuals passionate about making a difference through the use of data to join our team.

Responsibilities:

• Conduct research, programme evaluations and needs assessments.
• Collaborate with practitioners to generate actionable insights to refine and improve existing initiatives.
• Drive initiatives that facilitate the use of evidence in programme and service development.
• Curate and communicate resources to support data driven decision making within the organization.

Requirements:

• Bachelor’s degree in social science disciplines with 3 years of working experience in relevant sectors
• Familiarity and experience with research methods and statistics used in social sciences
• Experience in planning and conducting research and/or evaluation studies.
• Excellent oral and written communication skills.
• Basic understanding of human centred design would be advantageous
• Independent in executing projects and work tasks
• Good listening skills
• This position is on Contract basis

Work Location: Lengkok Bahru

*Please submit a sample of written work (ie. thesis) together with the application

Interested applicants are to submit their resume to [email protected]. Please visit www.fycs.org for more details.

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Key Responsibilities:

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

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

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

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

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

• Coding work required

Requirements:

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

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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