188 Computer Science jobs in Singapore

The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for Continental through close collaboration with its business units.

We are looking for Research Fellows to join our team in Privacy-preserving Vehicle Data Analytics project.

The successful candidate will contribute to exploring and developing privacy-preserving techniques for vehicle data and its analytics.

The role includes collaborative research with Continental Automotive Singapore on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning.

Key Responsibilities:

• Conduct advanced research in the areas of privacy-preserving techniques for vehicle data analytics.
• Formulate novel research methodologies and contribute to the development of privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning.
• Collaborate with Centre’s engineers and industry partners to develop and implement proposed research solution.
• Prepare high-quality research publications and contribute to report and technological disclosures writing.

Job Requirements:

• PhD in Computer science, Computer engineering, or related field.
• Experience in privacy-preserving techniques’ research and implementation.
• Strong publication record in top-tier venues.
• Proven ability to work collaboratively on interdisciplinary research projects.
• Excellent communication and project development skills.

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

The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for Continental through close collaboration with its business units.

We are looking for a Research Associate to join our team in Privacy-preserving Vehicle Data Analytics project.

The successful candidate will contribute to developing and implementing privacy-preserving techniques for vehicle data and its analytics.

The role includes collaborative development and implementation with Continental Automotive Singapore on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning.

Key Responsibilities:

• Work closely with Centre’s researchers and industry partners to develop, implement, and test proposed research solution.
• Conduct research and development in projects related to privacy-preserving vehicle data analytics.
• Write and maintain technical documentation, presentations, and papers.

Job Requirements:

• Master’s degree in computer science/ engineering or related fields.
• Strong programming skills in C/C++, python. Proficient with Linux and shell scripting.
• Knowledge on privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning.
• Experience in developing and deploying privacy-preserving techniques.
• Familiarity with collaborative development tools and cloud platforms.
• Good writing skills for writing reports and technical documentations.
• Excellent communication and project development skills.

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

The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for Continental through close collaboration with its business units.

We are looking for Research Fellows to join our team in Privacy-preserving Vehicle Data Analytics project.

The successful candidate will contribute to exploring and developing privacy-preserving techniques for vehicle data and its analytics.

The role includes collaborative research with Continental Automotive Singapore on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning.

Key Responsibilities:

• Conduct advanced research in the areas of privacy-preserving techniques for vehicle data analytics.
• Formulate novel research methodologies and contribute to the development of privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning.
• Collaborate with Centre’s engineers and industry partners to develop and implement proposed research solution.
• Prepare high-quality research publications and contribute to report and technological disclosures writing.

Job Requirements:

• PhD in Computer science, Computer engineering, or related field.
• Experience in privacy-preserving techniques’ research and implementation.
• Strong publication record in top-tier venues.
• Proven ability to work collaboratively on interdisciplinary research projects.
• Excellent communication and project development skills.

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

Research Assistant (Mathematics/Computer Science/Computer Engineering) page is loadedResearch Assistant (Mathematics/Computer Science/Computer Engineering) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Yesterday job requisition id R00021216

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.

Join the laboratory of Dr Mustafa Khairallah, in collaboration with Prof. Thomas Peyrin, at SPMS. We are seeking a Research Assistant to contribute to a project focused on design and analysis of cryptographic modes of operation.

Key Responsibilities:

• Design and analyze new and existing modes of operation.

• Formulate cryptographic security notions.

• Write security proofs for cryptographic algorithms.

Job Requirements:

• Bachelor’s or equivalent (for PO and Research Assistant equivalent) degree in Mathematics, Computer Science, Computer Engineering or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in specific scope . Academic experience counts.

• Familiarity with required scope (e.g. national codes and standards)

• Good written and oral communication skills (if applicable)

• Proficiency in probability theory, discrete mathematics and/or cryptographic design.

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill .

• Entry level candidates are welcome to apply

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.

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.

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.

Join the laboratory of Dr Mustafa Khairallah, in collaboration with Prof. Thomas Peyrin, at SPMS. We are seeking a Research Assistant to contribute to a project focused on design and analysis of cryptographic modes of operation.

Key Responsibilities:

• Design and analyze new and existing modes of operation.
• Formulate cryptographic security notions.
• Write security proofs for cryptographic algorithms.

Job Requirements:

• Bachelor’s or equivalent (for PO and Research Assistant equivalent) degree in Mathematics, Computer Science, Computer Engineering or related field
• At least 1 years of relevant experiences in similar role / technical hands-on experience in specific scope. Academic experience counts.
• Familiarity with required scope (e.g. national codes and standards)
• Good written and oral communication skills (if applicable)
• Proficiency in probability theory, discrete mathematics and/or cryptographic design.
• Competent in soft skills / general personality traits e.g. information visualization, interaction design
• Interpersonal skill.
• Entry level candidates are welcome to apply

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.

Interested applicants are invited to apply directly at our NTU Career Portal.

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

Research Fellow (Computer Science / Engineering) page is loadedResearch Fellow (Computer Science / Engineering) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Today job requisition id R00021260

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

Job Requirements:

• 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.

Required Skills and Qualifications:

• Minimum 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.

Competencies:

• 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.

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

Job Requirements:

• 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.

Required Skills and Qualifications:

• Minimum 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.

Competencies:

• 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.

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

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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

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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.

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

Key Responsibilities

• Conduct AI research
• Present research outputs
• Organize project relevant events
• Manage project progress
• Write research papers/reports based on the requirements of the projects
  
  

• Master degree in Computer Science/Engineering or equivalence
• More than 5 papers published at top AI/Machine learning conferences
• Experience of deep learning and machine learning
• Good communication and coordination skills
• Positive working attitude and a good team player
• Strong sense of responsibility and able to work independently with minimal supervision
• Self-motivated and able to multi-task
  
  

• Seniority level Entry level

• Employment type Full-time

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

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

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