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Join to apply for the Research Associate (Computer Science ) role at Nanyang Technological University Singapore

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Join to apply for the Research Associate (Computer Science ) role at Nanyang Technological University Singapore

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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims to drive technological breakthroughs that enhance the functionality, efficiency, and security of hardware and embedded systems. It aims to lead in the creation of hardware and embedded system technologies that enable smarter, more secure, and highly interconnected environments. At present, focus groups at HESL perform R&D in the following key areas: Design Methodologies, Embedded Software, Reconfigurable Computing, Vision Enabled Sensing, Cyber-Physical Systems, and Secure Embedded Systems.
The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.
Key Responsibilities

• Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems.
• Provide implementation and development support to the research team for translation of research ideas into concrete lab-scale demonstrators on robotic platforms.
• Assist in the procurement and management of technical equipment for the project.
• Participate in the process of writing and publishing research papers in top-tier conferences and journals.
• Support the research team in documentation and reporting activities for the grant agency.
  

• Preferably Master in Computer Science or related field.
• Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic platforms).
• Interpersonal skills (e.g. ability to work independently as well as in teams, develop solutions under strict timelines, meticulous and eye for details, excellent organizational & time management skills)
• Desirable: Research experience in deployment challenges for machine learning pipelines in resource-constrained systems.
  

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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Join to apply for the
Research Associate (Computer Science )
role at
Nanyang Technological University Singapore
3 weeks ago Be among the first 25 applicants
Join to apply for the
Research Associate (Computer Science )
role at
Nanyang Technological University Singapore
Get AI-powered advice on this job and more exclusive features.
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims to drive technological breakthroughs that enhance the functionality, efficiency, and security of hardware and embedded systems. It aims to lead in the creation of hardware and embedded system technologies that enable smarter, more secure, and highly interconnected environments. At present, focus groups at HESL perform R&D in the following key areas: Design Methodologies, Embedded Software, Reconfigurable Computing, Vision Enabled Sensing, Cyber-Physical Systems, and Secure Embedded Systems.
The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.
Key Responsibilities
Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems.
Provide implementation and development support to the research team for translation of research ideas into concrete lab-scale demonstrators on robotic platforms.
Assist in the procurement and management of technical equipment for the project.
Participate in the process of writing and publishing research papers in top-tier conferences and journals.
Support the research team in documentation and reporting activities for the grant agency.
Job Requirements
Preferably Master in Computer Science or related field.
Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic platforms).
Interpersonal skills (e.g. ability to work independently as well as in teams, develop solutions under strict timelines, meticulous and eye for details, excellent organizational & time management skills)
Desirable: Research experience in deployment challenges for machine learning pipelines in resource-constrained systems.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
Seniority level
Seniority level Entry level
Employment type
Employment type Full-time
Job function
Job function Research, Analyst, and Information Technology
Industries Higher Education
Referrals increase your chances of interviewing at Nanyang Technological University Singapore by 2x
Get notified about new Science Research Specialist jobs in
Singapore, Singapore .
Principal Scientist (Research & Development)
School of Applied Science - Research Assistant (Aquaculture)
WeChat - Data Scientist (Safety Strategies)
Research Assistant (Infectious Disease TRP)
Queenstown, Central Singapore Community Development Council, Singapore 8 hours ago
Research Fellow/Research Scientist (SA Lab), IMCB
Research Assistant (Cancer Science Institute)
Research Associate (Science of Learning in Education Centre) (NIE)
Research Associate (Healthcare & Science)
Research Officer - Genome Data Curation (A*STAR BII)
Research Assistant (Renewable 1 year contract)
Research Assistant (8h/week), Centre for Applied Research
Research Assistant (Science/Engineering)
Data Scientist, Process Modelling & Simulation, Decision Science, xData
Research Assistant (N.1 Institute of Health, A/P Christopher Asplund's Lab)
Research Assistant (Pharmacy and Pharmaceutical Sciences)
Queenstown, Central Singapore Community Development Council, Singapore 2 months ago
Research Associate (Engineering/Science)
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Join to apply for the Research Fellow (Computer Science/Software Engineering/Artificial Intelligence) role at Nanyang Technological University Singapore

5 days ago Be among the first 25 applicants

Join to apply for the Research Fellow (Computer Science/Software Engineering/Artificial Intelligence) role at Nanyang Technological University Singapore

We are seeking to appoint a research fellow who will contribute to NTU's mission of advancing cutting-edge research in artificial intelligence applications for healthcare and human-centered computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions.

Key Responsibilities

• Conduct advanced research in the areas of artificial intelligence for healthcare applications, medical image analysis, and human-centered computing systems, with a focus on cross-domain

Research Fellow (Computer Science/Software Engineering/Artificial Intelligence) page is loadedResearch Fellow (Computer Science/Software Engineering/Artificial Intelligence) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Yesterday job requisition id R

We are seeking to appoint a research fellow who will contribute to NTU's mission of advancing cutting-edge research in artificial intelligence applications for healthcare and human-centered computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions.

Key Responsibilities:

• Conduct advanced research in the areas of artificial intelligence for healthcare applications, medical image analysis, and human-centered computing systems, with a focus on cross-domain

Research Fellow (Computer Science/Software Engineering/Artificial Intelligence)
Join to apply for the
Research Fellow (Computer Science/Software Engineering/Artificial Intelligence)
role at
Nanyang Technological University Singapore
Research Fellow (Computer Science/Software Engineering/Artificial Intelligence)
5 days ago Be among the first 25 applicants
Join to apply for the
Research Fellow (Computer Science/Software Engineering/Artificial Intelligence)
role at
Nanyang Technological University Singapore
We are seeking to appoint a research fellow who will contribute to NTU's mission of advancing cutting-edge research in artificial intelligence applications for healthcare and human-centered computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions.
Key Responsibilities
Conduct advanced research in the areas of artificial intelligence for healthcare applications, medical image analysis, and human-centered computing systems, with a focus on cross-domain

Research Associate (Mathematics/Computer Science) page is loadedResearch Associate (Mathematics/Computer Science) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Today job requisition id R

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

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

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

Key Responsibilities:

The Research Associate is responsible for

• Formulating new algorithms for sampling from conditioned SPDE models

• Developing a mathematical theory showing their correctness and reliability

• Find applications that showcase the benefits of the new methods.

Job Requirements:

• Preferably Master in Mathematics, Computer Science, or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

• Research experience on the mathematical theory of infinite dimensional SPDE models is essential for this position.

We regret that only shortlisted candidates will be notified.

NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).

Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.

Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize.

For more details, please view

Key Responsibilities:

• Conduct advanced research in Generative AI, focusing on the design, development, and optimization of multi-modal LLMs.
• Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content.
• Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
• Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems.
• Collaborate with interdisciplinary teams to align AI research with ethical standards and best practices in AI safety.
• Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.

Requirements:

• PhD in computer science/ engineering or related fields.
• Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
• Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
• Background in Generative AI reserach, including multi-modal LLMs.
• Background in AI Safety research, inlcuding AI authenticity, accountability, and integrity of digital content.
• Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.

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

Research Fellow (Computer Science/ Engineering)

Apply locations NTU Main Campus, Singapore time type Full time posted on Posted 2 Days Ago job requisition id R

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize.

We are looking for a Research Fellow to Digital Trust Centre. The role will focus on multi-modal model testing.

Key Responsibilities:

1. Conduct advanced research in Generative AI, focusing on the design, development, and optimization of multi-modal LLMs.
2. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content.
3. Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
4. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems.
5. Collaborate with interdisciplinary teams to align AI research with ethical standards and best practices in AI safety.
6. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.

Job Requirements:

1. PhD degree in computer science/ engineering or related field.
2. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
3. Background in Generative AI research, including multi-modal LLMs as well as background in AI Safety research, including AI authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing.
4. Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
5. Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
6. Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
7. Competent in collaborative skills, with experience working in cross-functional teams.
8. Interpersonal skill (e.g. self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment. Keen attention to detail and commitment to high-quality deliverables.

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

Hiring Institution: NTU

Join to apply for the Research Fellow (Computer Science/ Engineering) role at Nanyang Technological University Singapore

Continue with Google Continue with Google

4 months ago Be among the first 25 applicants

Join to apply for the Research Fellow (Computer Science/ Engineering) role at Nanyang Technological University Singapore

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize.

For more details, please view are looking for a Research Fellow to Digital Trust Centre. The role will focus on multi-modal model testing.

Key Responsibilities

• Conduct advanced research in Generative AI, focusing on the design, development, and optimization of multi-modal LLMs.
• Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content.
• Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
• Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems.
• Collaborate with interdisciplinary teams to align AI research with ethical standards and best practices in AI safety.
• Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.
  
  

• PhD degree in computer science/ engineering or related field
• Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
• Background in Generative AI research, including multi-modal LLMs as well as background in AI Safety research, including AI authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Competent in collaborative skills, with experience working in cross-functional teams.
• Interpersonal skill (e.g. Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment. Keen attention to detail and commitment to high-quality deliverables.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Higher Education

Referrals increase your chances of interviewing at Nanyang Technological University Singapore by 2x

Get notified about new Science Research Specialist jobs in Singapore, Singapore .

Queenstown, Central Singapore Community Development Council, Singapore 1 day ago

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