Research Engineer

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

Responsibilities

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

Qualifications

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

Research Engineer

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

Responsibilities

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

Qualifications

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

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

We are looking for a Senior Research Fellow to conduct to achieve our KPIs, such as publishing papers and presenting findings in conferences, proposed for the research projects in the Saheki lab at LKCMedicine. The role will focus on the overall successes of the ongoing projects, in particular the ones require iPSCs or C. elegans, in the Saheki lab. Our lab is built on diversity, mutual respect, teamwork, and collaboration, with a special emphasis on providing mentorship for young talent, including students and postdocs. We will provide exciting opportunities and vibrant atmospheres as well as state-of-arts core facilities. We also offer a highly attractive remuneration package including competitive salary and fringe benefits. Excited and motivated individuals are all encouraged to apply.

Responsibilities:

• Carry out an independent research project and collaborate with other researchers.
• Supervise junior members of the lab, including graduate students and undergraduate interns.
• Keep a log of lab materials as necessary (e.g., cell lines, plasmid DNAs, proteins, C. elegans strains, and other essential reagents).
• Present research at lab meetings and national/ international conferences.

Skills and qualifications:

• Candidates should have a PhD or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills.
• Self-motivated and well-organized with good communication and technical skills.
• Experience in either one of the following fields: cell biology, mice or invertebrate genetics, imaging and/ or biochemistry (e.g., protein purification, in vitro reconstitution) is essential.
• Be able to work independently and collaborate effectively in a highly diverse and interdisciplinary team.

We are seeking a motivated and innovative Post-Doctoral Research Fellow to conduct cutting-edge research in AI safety. The candidate will focus on curating data, aligning AI models, identifying gaps between academic research and industry practices, and developing tools to govern AI behavior. The position also requires regular publication in top-tier AI conferences and journals. This role offers the opportunity to contribute to the development of responsible and safe AI systems while working at the forefront of AI research.

Key Responsibilities:

1) Data Curation and Management: Collect, clean, and organize datasets relevant to AI safety research. Ensure data quality and accessibility for model training and evaluation.

2) Model Alignment and Development: Align AI models with safety objectives, ethical guidelines, and societal norms. Design and evaluate methods to prevent unsafe or unintended AI behavior.

3) Gap Analysis: Identify gaps between current AI safety research and industry practices. Propose actionable solutions and frameworks to address these gaps.

4) User Interviews and Research: Conduct interviews and surveys with stakeholders (users, developers, policymakers) to understand real-world challenges in AI safety. Integrate findings into research and tool development.

5) Tool Development: Develop practical tools, frameworks, or methodologies to govern and evaluate AI behavior. Prototype solutions that enhance AI interpretability, robustness, and compliance with ethical guidelines.

6) Research and Publication: Conduct high-quality, novel research in AI safety. Publish findings regularly in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated research experience in AI safety, ethical AI, alignment, or related areas.
• Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven experience with data curation, analysis, and cleaning.
• Track record of publications in top AI/ML conferences and journals.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities.
• Experience in user research, including conducting interviews and surveys.
• Familiarity with fairness, robustness, and interpretability in AI.
• Knowledge of industry trends and challenges in deploying safe AI systems.
• Ability to collaborate across interdisciplinary teams and with external stakeholders.

Responsibilities:

• Provides assistance to the research team

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

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

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

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

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a mobile app for visualising geospatial data.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry / vet experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $3.5K

Office hours, Mon to Fri

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry / vet experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $3.5K

Office hours, Mon to Fri

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

JOB DESCRIPTION

ISCE2 is looking for a highly motivated candidate with great interpersonal skills to join Lab and Facilities Division. The successful candidate is expected to contribute to ISCE2 by the following:

1. Upkeep and ensure good lab housekeeping for designated laboratories, sufficient supplies of common chemical and laboratory consumables (including procurement) etc.
2. Lab ambassadors to promote sustainable lab operations and greening of laboratories.
3. Ensure common equipment functionality and its operation within required limits by internal and external preventive maintenance.
4. Initiation and coordinate disposal of unwanted, obsolete chemicals and generated waste in designated laboratory.
5. Ensure all new laboratory personnel receive laboratory induction and specific lab operational procedures before they commence work in the lab.
6. Ensure lab occupants (i.e., staff and students) comply with general laboratory safety rules. Communicates information on identified hazards and precautions to all lab users.
7. Initiate and coordinate all necessary corrective actions to rectify safety discrepancy found in the lab.
8. Maintain up-to-date chemical inventory and ensure Safety Datasheet (SDS) for chemicals are readily available for respective laboratories.
9. Coordinate the compilation and maintain laboratory documentation (equipment manuals, equipment standard operating procedures, maintenance records and inventory record of regulated chemicals).

JOB REQUIREMENT

• Diploma or degree related to chemical engineering or equivalent.
• Prior work experience in a laboratory is not a requirement but an added advantage.
• Team player with initiative, drive and good communication skills.
• Ability to work independently under minimal supervision.
• Team player with good communication skills.
• Willing to work on all ISCE2 sites including main site at Jurong Island (Shuttle buses are available at various locations for commute into and out of Jurong Island site).
• Minimum 3 Years of experience

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow to take the role as tech lead. The role will focus on investigating proton exchange membrane eater electrolyze and the related catalysts.

Key Responsibilities:

• Develop innovative research methodologies, frameworks, or prototypes relevant to the project goals and objectives.
• Collaborate with internal and external stakeholders on project design, data collection, analysis, and dissemination of findings to ensure impactful outcomes.
• Mentoring graduate and undergraduate students, providing guidance on research techniques, career development, and publication strategies.
• Assist in grant writing by preparing proposals, compiling data, and drafting budgets to secure research funding.
• Maintenance of lab or equipment or supplies including procurement, inventory management, and effective communication with suppliers to ensure operational efficiency.
• Assist or Produce high-quality reports and documents that consolidate research findings, ensuring clarity, precision, and alignment with publication standards.

Job Requirements:

• PhD in Materials, Chemistry, Physics, Chemical Engineering or any relevant science and engineering disciplines
• At least 4 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Experience in materials synthesis/characterizations, gas-phase catalysis and/or theoretical calculations
• A strong track record of research ability and demonstrated contribution to research
• Excellent verbal and written communication skills
• Self-motivated independent scientist and a team player

We regret that only shortlisted candidates will be notified.

Job Description:

• Design, implement and optimize algorithms (e.g. SLAM) for real-time, high-precision localization of autonomous vehicles using sensor fusion of GNSS/IMU/DR, LiDAR, cameras, HD Map, and other sensors.
• Develop and maintain high-definition (HD) maps for autonomous driving applications. Work on the creation, updating, and management of detailed maps that include lane information, road geometry, traffic lights/signs, and other relevant features.
• Improve perception models for feature detection and tracking. Use deep learning and computer vision techniques to detect key features such as road boundaries, obstacles, and dynamic objects to enhance mapping and localization accuracy.
• Develop test plans, perform validation, and run simulations and testing to ensure the accuracy, reliability, and safety of mapping and localization systems in both controlled and real-world environments.
• Stay up to date with the latest advancements in localization, mapping, and autonomous driving technologies. Lead efforts to continuously improve the performance and capabilities of our mapping and localization systems.
• Write professional design and technical documentation.

Job Requirements:

• Master’s or Ph.D. degree in Robotics, Computer Science, Electrical and Electronic Engineering, Computer Vision, Deep Learning and AI, or a related field.
• Working experience in localization, mapping, or autonomous driving systems is preferred.
• Expertise in key mapping and localization techniques including GNSS/IMU/INS, SLAM, and especially deep learning-based perception and sensor fusion.
• Strong analytical and problem-solving skills, strong programming skills in Linux C/C++, excellent communication skills, ability to work collaboratively with the team, etc.

The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

Interested candidates may also apply or write in to CS Chua, EA 12C6130/ R1548619 [email protected]. Shortlisted candidates will be contacted for a discussion.

Responsibilities:

• Provides assistance to the research team

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

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

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

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

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

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.

We are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Generative AI, with a focus on creating long and smooth videos.

Key Responsibilities:

• To conduct independent research in deep learning.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Science or relevant fields.
• Strong background in deep learning and multi-modal learning.
• Strong publication record in top conferences/journals, such as CVPR, NeurIPS, AAAI, IJCAI, T-PAMI, IJCV, and etc.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

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.

We are seeking for a Research Associate for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Generative AI, with a focus on creating long and smooth videos.

Job Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To conduct independent research in large language model theory and trustworthy machine learning.
• To produce publications in top conferences and journals, such as ICML, NeurIPS, and ICLR.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners in understanding large language models and developing more fair, robust, and explainable models.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Master’s degree in Computer Science or relevant fields.
• A strong background in trustworthy machine learning, particularly in privacy and fairness.
• Solid publication records in privacy and fairness in machine learning.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

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.

We are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Large-scale Deep Learning Models (LMs), with a focus on learning theory and security of LMs from a physical perspective.

Job Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To investigate the learnability of LMs from a physical perspective.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To collaborate with interdisciplinary teams, including experts in physics, mathematics, deep learning and other application domains.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Science or relevant fields.
• Strong background in quantum machine learning or physics-based approaches to model learning, enabling the candidate to contribute physical insights into the learning and security of LMs.
• Strong publication record in top conferences/journals, such as Nature Communications, PRL, T-PAMI, NeurIPS, ICML, ICLR, and etc.
• Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred.
• Strong theoretical background in quantum learning theory, representation learning, and quantum computing.
• Good programming skills in Python. Familiarity with PyTorch or Tensorflow is a bonus.
• Proficiency of programming skill with quantum machine learning architectures, such as PennyLane, Qiskit, and similar platforms, is preferred.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

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.

We are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Large-scale Deep Learning Models (LMs), with a focus on learning theory and security of LMs from a physical perspective.

Key Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To investigate the learnability of LMs from a physical perspective.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To collaborate with interdisciplinary teams, including experts in physics, deep learning, and application domains.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Physics, Computer Science, Machine Learning or relevant fields.
• Strong background in quantum machine learning or physics-based approaches to model learning, enabling the candidate to contribute physical insights into the learning and security of LMs.
• Strong publication record in top conferences/journals, such as PRL, NeurIPS, T-PAMI, TNNLS, and etc.
• Experience in interdisciplinary studies of deep learning and physics is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Proficiency of programming skill with quantum machine learning architectures, such as PennyLane, Qiskit, and similar platforms, is preferred.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

Responsibilities

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

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

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

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

Responsibilities

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

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

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

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

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

Minimum Qualifications

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

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

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

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

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

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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

Why Join Us

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

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

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

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

Join us.

About The Team:

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

The main job directions include:

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

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

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

Qualifications

Minimum Qualification

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

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

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

Preferred Qualifications

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

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

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Conduct research towards glasses-free 3D display with artificial intelligence technologies.
• Coordinate procurement and liaison with vendors/suppliers and carry out other project related activities.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• A PhD degree in computer or related programmes and have relevant competence in artificial intelligence (AI).
• Knowledge and experience in NeRF/Gaussian Splatting will be advantageous.
• Able to build and maintain strong working relationships with people within and external to the university.
• Show strong initiative and take ownership of work.
• Teamwork spirit

Key Competencies

• >=3 years of research experience in AI.
• Teamwork spirit and ownership attitude.

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry / vet experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $3.5K

Office hours, Mon to Fri

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

For more details, please view https://www.ntu.edu.sg/sbs.

We are looking for a Research Fellow to investigate ribosome-associated protein degradation. The role will focus on exploring how cells identify and degrade faulty proteins produced from stalled ribosomes, with an emphasis on understanding the molecular players and pathways involved in maintaining protein homeostasis.

Key Responsibilities:

• Develop and execute experimental strategies to study ribosome-associated protein degradation pathways.
• Analyze large datasets from proteomics, transcriptomics, or other high-throughput methods to identify novel components or interactions.
• Prepare high-quality research manuscripts, present findings at conferences, and contribute to grant proposals.
• Mentor junior lab members, including graduate and undergraduate students, and foster a collaborative research environment.
• Maintain detailed experimental records, ensure adherence to safety regulations, and contribute to the overall organization of the lab.

Job Requirements:

• PhD degree in biology or related field
• At least 4 years of relevant experience in biology research (including graduate study) / technical hands-on experience in yeast genetics.
• Familiarity with advanced techniques and methodologies in molecular biology, biochemistry, and cell biology, as well as adherence to ethical research standards and best practices in the field.
• Good written and oral communication skills.
• Proficiency in data analysis, and statistical tools, including the ability to organize, process, and interpret experimental data effectively.
• Competent in soft skills such as clear and effective communication, teamwork, problem-solving, and the ability to present and visualize complex scientific data for diverse audiences.
• Strong interpersonal skills, including the ability to work independently, develop solutions under strict timelines, maintain meticulous attention to detail, and demonstrate excellent organizational and time management abilities.
• 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.