Job Description/Job Scope

1. Modeling of emerging data storage & communication channels and systems

2. Research and development of deep learning based channel detection and channel estimation techniques for emerging data storage and communication channels

3. Implementation of the developed algorithms into Python and Matlab packages

4. Working out research papers and patents

Qualifications, Skills, Experience

1. A PhD degree in Electrical Engineering

2. Fundamental knowledge on Machine Learning, Deep Learning, Error Correction Coding, and Signal Processing

3. Python and Matlab programming skills

4. Fluent in both written and oral English

Company background

Keystone’s mission is to be a leading asset management firm that helps our clients realise their investment goals. To achieve excellence, we have created a world-class team by actively recruiting the most talented and experienced personnel. Founded in 2021, Keystone is headquartered in Singapore.

Job responsibility & requirements

• 5 years of relevant buyer or seller experience, the core requirement is to be persistent in details, but with a view of the overall situation. Work location in Singapore. Covering the entire Asia-Pacific and global related industry groups and companies. Look for long and short opportunities.
• Covering research analysts across sector teams but with a Japan/Korea focus: tracking market changes in the industrial chain, order trends, and detailed explanations of industry company model data
• Studying consumer behavior patterns within the healthcare industry, including preferences, purchasing habits, and decision-making processes. Analyzing demographic data and psychographic information to understand consumer motivations and needs.
• Keeping abreast of current and emerging trends in the healthcare sector, including technological advancements, regulatory changes, and healthcare policy developments. Forecasting future trends and their potential impact on consumer behavior and market dynamics.
• Interpreting complex data sets related to healthcare and consumer research, using statistical analysis and data visualization tools. Creating detailed reports and presentations that communicate findings, insights, and recommendations to stakeholders and decision-makers.

Work Location

10 Collyer Quay

#24-06/07 Ocean Financial Centre

Singapore 049315

Job Description:

• Capable of optimizing molecular and cellular assays for characterization of genetically modified immune cells. These assays may include RNA extraction, real-time PCR, ELISA, western blotting, cytotoxicity assay, cell proliferation assays and cytokine measurement etc.,
• Multi-parametric immunophenotyping by flow cytometry techniques
• Good hands-on experience with PBMCs and cellular therapy products either through established protocols, or to optimize new protocols as seen necessary.
• Maintains accurate and detailed documentation of laboratory procedures and experiments.
• Oversee maintenance and operation of laboratory such as replenishing & triggering order of consumables, collection of waste materials, maintenance of laboratory equipment, etc.

Company Description:

Entropica Labs is a Singapore-based quantum computing software company creating the software layer to support fault-tolerant quantum error correction–the ability to actively remove errors from quantum computations and unlock the transformative applications of quantum computing. Entropica Labs empowers developers, researchers, and domain experts to accelerate the arrival and adoption of fault-tolerant quantum computing.

About the team:

Our team at Entropica Labs combines deep expertise in quantum computing, software engineering, quantum information, and advanced error correction methodologies to build essential tools for practical quantum error correction. If you are a creative thinker and problem solver passionate about tackling complex challenges, join us to shape the future of quantum computing.

For more information, visit https://entropicalabs.com/.

Job Requirements:

• Expertise in quantum error correction (Master level or equivalent experience).
• Industry experience preferred.
• Familiarity with quantum computing applications is a plus.

Key Responsibilities:

• Collaborate with the Quantum Error Correction (QEC) team to develop fault-tolerant quantum algorithms.
• Work with commercial and applications teams to identify relevant quantum computing use-cases.
• Build prototype solutions and assess potential quantum advantages.
• Working with the team to build, test, and benchmark different components of Entropica’s technology stack;
• Implementation and analysis of quantum computing and quantum error correction algorithms and schemes, methods, and protocols;
• Attendance at conferences and meetings, with possible overseas travel;
• Participation in customer and partner projects;
• Reading scientific literature and presenting complex ideas to the team;

Qualifications:

• Excellent English, written and spoken.
• Proven background in quantum error correction.
• Academic experience (Master level or beyond); industry experience is a bonus.
• Strong problem-solving skills and ability to collaborate across teams

How to Apply:

Interested candidates should submit a cover letter (including personal references, if possible), a resume, and a sample of relevant research work or publications.

Key Responsibilities:

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

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

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

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

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

• Coding work required

Requirements:

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

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

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

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

Healthcare is one of the most promising research directions in artificial intelligence (AI) for industry, public health and academia, and AI-driven solutions have the potential to make significant impact in society by enabling better patient management through improved diagnosis and treatment.

The Singapore National Eye Centre/Singapore Eye Research Institute (SNEC/SERI), in collaboration with Nanyang Technological University (NTU), is seeking a highly qualified individual to take on a significant role in this exciting and rapidly developing research direction at the cross-roads of healthcare and artificial intelligence.

He/ She will be expected, but not limited to:

• Develop machine-learning and deep-learning solutions to address current clinical challenges, including segmentation, detection, and prediction, through the use of large-scale medical/ophthalmic images and data from state-of-the-art clinical platforms
• Perform research in medical image processing and develop novel approaches to multimodal imaging (2D and 3D) using imaging systems ranging from current clinical systems to novel imaging prototypes
• Conduct and coordinate research within SNEC/SERI and NTU in line with its research strategy and under the direction and supervision of the Principal Investigators and Collaborators
• Manage these research projects in a team-based, cross-functional research environment, which include supervising doctoral and master students, research assistants, and technical and other support staff
• Publish research outcomes in appropriate journals of international standing and to publish and disseminate the result of research and scholarship in other reputable outlets
• Attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the department
• Draft research report for Principal Investigators
• Undertake specific roles and management functions as may be reasonably required by the Principal Investigators
• Attend meetings and to participate (where necessary) in other committees and working groups within SNEC/SERI and NTU
• Ensure compliance with health and safety in all aspects of work

Job Requirements

• Ph.D. in Computer Science, Computer Engineering, Electrical or Information Engineering, Biomedical Engineering, or related discipline
• Previous experience in OCT, software development in OCT and OCT signal analysis would be an advantage
• Possess good programming and image processing skills (e.g., MATLAB, Python)
• Able to work independently, as well as in a team-based, cross-functional research team

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Senior Research Fellow (Health Services Research) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in health services and policy research and evaluation combined with experience translating science and evidence into real-world change. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Health Services Research, Public Health, Health Policy or a closely related field) with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience in health services research
• Proven track record in handling and analyzing healthcare data (essential)
• Track record of publishing in international peer-reviewed journals (essential)
• Researchers with existing research activities related to Value Based Health Care are particularly encouraged to apply

Qualifications

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex research data (essential)
• Evidence of potential to generate and maintain an independent stream of funding (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal.

We regret that only shortlisted candidates will be notified.

We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 5 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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.

We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 2 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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.

What you would be seen doing:

Research and analyse a variety of large data sets to develop and implement signals

Collaborate extensively with others to analyse performance, optimize the trading strategy and continue to advance the results of the team ‘ s research

Use cutting edge concepts like Deep Learning to identify patterns / trends in financial market data.

What do we expect to be coming with you ?

Degree in Mathematics / Statistics / Economics or Engineering

Should be comfortable in applying advanced mathematics / statistics concepts to large data sets

Excellent analytical and problem-solving skills

Must possess intellectual curiosity and be a self-starter

Experience of working and affinity with Python

Fascinated and interested in modern concepts of machine learning etc and quantitative finance theory.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Job Responsibilities

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

Qualifications and Skills

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

More Information

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Job Responsibilities

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

Qualifications and Skills

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

More Information

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

We are looking for a highly motivated individual who has a strong passion to identify and validate novel molecular targets, biomarkers, and therapeutic drugs in vitro and in vivo disease models against neurodegeneration in our Neural Stem Cell Research Laboratory of National Neuroscience Institute of Singapore (Novena Campus).

The laboratory focuses on the elucidating the molecular mechanisms the underlie the miRNA-mediated neurodegeneration; developing potential biomarkers with therapeutic applications in neurological disorders; characterizing pathological features of neurodegenerative diseases in different disease models, including patient iPSCs-derived cerebral organoids and transgenic mouse models.

Applicants with relevant background in molecular genetics, neural stem cells, miRNA biology, drug development or related fields are invited to apply. Successful candidates must be highly motivated, are passionate about research and be able to work in an interdisciplinary environment.

Job Requirements

• PHD in Life Sciences with wet laboratory experience, majoring in Genetics / Biochemistry & Cellular Biology / Neuroscience/ Pharmacology or related discipline.
• Experiences with mouse work would be strongly preffered.
• Previous experience with stem cell biology, gene edition, multiplex, and bioinformatics data analysis would be added advantages.
• Good writing (including manuscript and grant writing), presentation and communication skills.
• A team player and a strong desire to learn and take on intellectual challenges.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research is looking for outstanding research scientists.Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?At Salesforce, we have launched Einstein GPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.

Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research. Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com/

Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Reinforcement Learning, or Machine Learning in general.

Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real-world, large-scale problems.
• As needed lead teams to deliver on more complex pure and applied research projects such as AI for Operational Efficiency and AI for Software

Minimum qualifications:

• Ph.D./Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field.
• Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP etc.
• Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred qualifications:

• 1+ years of full-time industry experience in deep learning research/product.
• Strong experience building and applying machine learning models for business applications.
• Experience training large language models.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
• Experience in implementing high-performance and large-scale deep learning systems.
• Thoughtful about AI impacts and ethics.
• Fantastic problem solver; ability to solve problems the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research is looking for outstanding research scientists.Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?At Salesforce, we have launched Einstein GPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.

Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research. Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com/

Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Reinforcement Learning, or Machine Learning in general.

Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real-world, large-scale problems.
• As needed lead teams to deliver on more complex pure and applied research projects such as AI for Operational Efficiency and AI for Software

Minimum qualifications:

• Ph.D./Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field.
• Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP etc.
• Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred qualifications:

• 1+ years of full-time industry experience in deep learning research/product.
• Strong experience building and applying machine learning models for business applications.
• Experience training large language models.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
• Experience in implementing high-performance and large-scale deep learning systems.
• Thoughtful about AI impacts and ethics.
• Fantastic problem solver; ability to solve problems the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

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

Scope of the Research:

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

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

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

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

Qualification, Skills, and Experiences:

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

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

Responsibilities:

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

Qualifications:

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

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

Requirements:

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

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

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) is seeking a highly organized and detail-oriented individual to join our team as a Research Assistant. The Research Assistant will collaborate with researchers, engineers, and external stakeholders to facilitate the research, evaluation and deployment processes involved in research projects.

Duties and Responsibilities

In this role, you will:

• Participate in the full research to deployment pipeline and help conceptualize, develop research experiments, and then implement the systems to execute these experiments.
• Work with a team and interact closely with both the academic researchers and the industry partners.
• Attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds.
• Apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.

Qualifications

An ideal candidate should have the following:

• A Bachelor’s or Master’s degree in AI, computer science, or related disciplines including Engineering Systems;
• Strong system-building skills and keen interests in working with emerging technologies and frameworks;
• Solid background in AI and machine learning, preferably with at least 1-year of experience;
• Past experiences in:

- Open-source DevOps tools and software as a service solutions;

- Development and implementation of AI and machine learning algorithms;

- Related work at an academic research lab

• Good written and verbal communications skills;
• A willingness to learn and experiment with novel ideas and new domains.
• Interest or prior work in social data science and online trust and safety. Experience in areas such as user behaviour analysis, content moderation, misinformation detection, or platform security will be highly advantageous.

Research & Development Sous Chef

Overview

A fantastic opportunity for a creative, passionate and driven individual to be part of a growing manufacturing company with opportunities for long-term career progression as the business grows. You will be the expert in recipe development and culinary innovation.

As a R&D Sous Chef, you will work closely with the management and quality assurance department to develop new recipes and refine taste profiles through experimentation for B2B customer – Café, Education, Catering and Retail products. You will train kitchen team members, supervise and coordinate all culinary activities. You are also responsible for preparing consistent, high quality food products and improve efficiency to streamline kitchen operations.

Responsibilities include:

• Create new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations
• Confirm product formulations and other information for constructing product specifications and documentation
• Make recommendations in the design of new manufacturing processes or to change current equipment or processes
• Plan, manage and run panel sessions and sensory tests on food products
• Review ingredients to meet customer needs and requirements
• Monitor and maintain product quality and food safety system
• Conduct food safety and shelf-life risk management during the product development stage
• Ensure the cleanliness and maintenance of all work areas, utensils, and equipment
• Conduct studies to discover ways to improve the efficiency of production processes
• Ensure manufacturing and processing staff wear appropriate sanitary and protective gear to ensure health and safety
• Monitor every aspect of production to ensure compliance with established procedures and standards
• Oversee the maintenance, repair, and replacement of production equipment to ensure smooth work operations
• Set production objectives and implement action plans for achieving set targets
• Conduct forecast to identify potential risks and contingencies in a proposed project
• Prepare periodic reports to update upper management on food production activities
• Create workshifts to ensure round-the-clock food production operations
• Maintain accurate inventory of raw materials and processed food products
• Ensure products and raw materials are stored properly at optimum conditions
• Carry out surveys to identify customer requirements and adjust to meet such needs
• Follow all safety and sanitation policies when handling food and beverages

Minimum qualifications

• At least 8 years of relevant working experience in F&B
• Culinary-related certifications/Diploma preferred
• Fluency in English and Chinese

Requirements

• Good communication and interpersonal skills
• Able to work within deadlines and well-organised in handling multiple projects
• Strong and proven track record of executing projects
• Positive attitude and eager to learn
• Display strong initiative and able to work independently
• Thrive in a fast-paced environment and able to adapt quickly
• Strong understanding of food manufacturing processes
• Proficient in cost management and production efficiency strategies
• Knowledge in food safety and quality hygiene systems e.g. HACCP, GMP, Food safety management systems e.g. ISO 22000, AIB, FSMS 22000, etc.
• Creative, detail minded, with excellent communication skills and can work independently and as a team
• Strong project management and influencing skills

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Evaluating the errors associated with Machine Learning (ML) predictions is an active area of research crucial for the safe and effective deployment of ML techniques. These errors have two components. The epistemic error refers to the degree of similarity between the analysed data and the ones the uses to train the machine. The uncertainty error refers to the noise in the training and test data.

The Pica Ciamarra groups is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research to develop physics-inspired model for error estimation in ML. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing, in strict collaborations of partners of the CNRS@Descartes.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Devise physics-inspired ML approaches to estimate epistemic and uncertainty errors.
• Construct synthetic dataset suitable to the designed models.
• Implement models for error estimation in classification and regression tasks.
• Interact with partners of the CNRS@Descartes project to foster the application of the developed models to use cases.
• Validate models via large scale simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• Ph.D in physics or related disciplines
• 2 years of relevant experience is preferred
• Experience in Machine Learning and modeling
• Knowledge of Python and C++
• Able to multitask and work in a multidisciplinary team, demonstrate initiative and work independently with strong interpersonal skills.
• Good publication record in international journals

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.

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

Job Description

An internship position for a student with manufacturing, chemical and/or mechanical background to obtain training in research and development, operations of demonstration plant, workplace health and safety in manufacturing environment for sustainable waste management.

Intern’s duties include:

1. Contribute to research and development activities at a manufacturing research facility (demonstration plant) through planned experiments and equipment operations.

2. Follow regulatory and statutory requirements, especially, workplace health and safety practices. Contribute to preparation and maintenance of process documentation, such as permits to work, risk assessments, safe work procedures and method statements.

3. Support site operation activities as directed by a supervisor.

4. Maintain and improve housekeeping. Ensure that waste, chemicals, product handling equipment and assigned areas are kept clean.

5. Resolve product quality issues arising from production or operation by working closely with team members.

6. Assist with other tasks as directed by a supervisor and company management.

Requirements for the intern:

Pursuing Diploma from a Poly or Bachelor or Master’s degree from University in Manufacturing, Chemical or Mechanical Engineering in Singapore.

Has hands-on experience with hand tools, minor repairs and maintenance of equipment, day-to-day troubleshooting of machinery/equipment..

Proficient with MS Office.

Strong verbal and written communication skills.

Good analytical and problem-solving skills.

Familiar with 3D CAD software: preferably, Autodesk Fusion.

Able to follow Workplace Safety and Health regulations. Having safety training certificates is an advantage.

Fit to wear dust mask/gas respirator.

Prepared to work in Tuas area.