A Project Officer position is currently available in the School of Physical and Mathematical Sciences (SPMS).

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.

The candidate will be part of the staff working on a project within the Division of Mathematical Sciences of the SPMS. The project aims to develop error-correcting techniques for constrained codes with emphasis on applications like DNA data storage and visible light communications.

Key Responsibilities:

• Study and provide a survey on known algebraic and combinatorial techniques in correcting errors for constrained codes
• Design and develop new error-correcting schemes for constrained codes
• Identify new research directions in constrained codes for correcting errors

Job Requirements:

• Bachelor of Sciences in Computer Science or Mathematics
• Research experience in algebraic or combinatorial coding theory
• Knowledge of commonly used concepts in data storage
• Publication experience is strongly preferred

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

An exciting research opportunity within the Schaeffler-NTU Corporate Lab (SHARE) at the School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

We aim to develop the next generation robotic manipulator (cobot) to safely interact with humans in industrial manufacturing tasks.

Key Responsibilities:

• Work on exciting robotics design
• Creating new prototypes

Job Requirements:

• PhD in Mechanical engineering, Electrical engineering, or related fields
• Good publication track record
• Creative mind, with a problem solving attitude

We regret that only shortlisted candidates will be notified.

Join the Innovation at ISCE2: Seeking a Visionary and Talented Scientist

Are you ready to be a part of a dynamic, forward-thinking team to drive the future of green and sustainable technology in biomanufacturing?

ISCE2 is actively looking for a passionate Scientist with proven track record in chemical biology, biocatalysis or biotechnology research to join our multi-disciplinary team to develop next generation green and sustainable technology for the manufacturing of fine and specialty chemicals.

What Sets Us Apart:

Next-Generation Technology: Be at the forefront of innovation, utilizing advanced technologies, including automation, data science, AI and machine learning, to accelerate development.

Key responsibilities:

The successful candidate may be responsible for but not limited to:

• Design and develop biocatalytic systems or enzymes for the sustainable (bio)-production of chemicals
• Comfortable in the use of advanced technology, including AI/machine learning to help accelerate development
• Able to lead an independent study
• Analyze data and present research findings at conferences, meetings, and to stakeholders while maintaining accurate records
• Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures, patent applications
• Supervise and mentor junior researchers, fostering a collaborative and supportive work environment
• Devise both exploration and industrial proposals to seek competitive funding
• Other RI and lab wide duties as assigned by the manager

Requirements:

• PhD in Chemistry, Biocatalysis, Chemical Biology, Biochemistry, Protein engineering or its equivalent
• Strong background in biocatalysis, protein engineering, chemistry, molecular biology and/or biotechnology
• More than 5 years of post-PhD experience preferred
• In depth experience with PCR, protein expression, and/or analytical techniques such as biochemical assays, spectroscopy and chromatography
• Adaptable to team-oriented goals and requirements
• Rigorous data analysis, interpretation, analytical and problem-solving skills
• Excellent oral/written communication, documentation and organization skills
• Meticulous, attention to details and organized
• Ability to prioritize responsibilities and multi-task

What We Offer:

• Innovation Culture: Immerse yourself in a culture of innovation and continuous learning.
• Professional Growth: Opportunities for project management, representation at international events, and career advancement.
• Collaborative Environment: Work alongside top-notch professionals in a collaborative and supportive setting.
• If you are ready to make a significant impact in the realm of sustainable biomanufacturing, we invite you to apply and be a part of our pioneering team at ISCE2.

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.

Asian School of the Environment (ASE) is hiring a research assistant to assist in field and laboratory data collection in a new, Nparks-funded project entitled: “Comparison of litterfall nutrient cycling between forests and urban green spaces in Singapore”.

The research assistant will work closely with three other team members to collect data for this project, with a focus on sequencing large numbers of invertebrate and microbe samples.

Key Responsibilities:

• Conduct lab work to sort and sequence invertebrate and soil/litter microbe samples
• Conduct field work to natural forests and urban parks to collect leaf litter, soil and invertebrate samples
• Conduct lab work to process and analyze nutrient contents in leaf litter and soil samples
• Assist in procuring project logistics and other project administrative duties
• Train students and ensure the safe conduct of student research projects

Job Requirements:

• Bachelor degree in biology, zoology, ecology, environmental science, or equivalent
• Competent in basic molecular taxonomy skills, such as DNA extraction, PCR, running gels, processing of sequence data, etc.
• Able to do regular (up to thrice weekly) fieldwork
• Good team player
• Good attitude towards learning the many skills and techniques necessary to execute this project
• Prior experience with entomological work is advantageous, but not a requirement for application
• Keen interest in nature/entomology/botany

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

Asian School of the Environment (ASE) is hiring a research assistant to assist in field and laboratory data collection in a new, Nparks-funded project entitled: “Comparison of litterfall nutrient cycling between forests and urban green spaces in Singapore”.

The research assistant will work closely with three other team members to collect a wide variety of data for this project. This data includes data from plants (trees in forests and parks), invertebrates (small, soil- and litter-dwelling species), and microbes (soil and litter bacteria and fungi).

Key Responsibilities:

• Conduct field work to natural forests and urban parks to collect leaf litter, soil and invertebrate samples
• Conduct lab work to process and analyze nutrient contents in leaf litter and soil samples
• Conduct lab work to sort and sequence invertebrate samples
• Assist in procuring project logistics and other project administrative duties
• Train students and ensure the safe conduct of student research projects

Job Requirements:

• Bachelor Degree in biology, zoology, ecology, environmental science, or equivalent
• Able to do regular (up to thrice weekly) fieldwork
• Good team player
• Good attitude towards learning the many skills and techniques necessary to execute this project
• Prior experience with chemical analyses (CHNS, ICP-OES), entomological work and GIS is advantageous, but not a requirement for application
• Keen interest in nature/entomology/botany

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

We invite suitable candidate to join a strong research team in Temasek Laboratories@NTU as a Research Scientist with the following requisites:

Key Responsibilities:

• Conducting research in digital signal processing, in particular the detection and localization of active and passive targets via wireless RF signals in the harsh environment.
• Conducting both theoretical development of methods and experiment design to validate the developed methods.
• Co-supervising junior researchers/interns/students, carrying out detailed literature review and assessment of the state-of-the-art technologies. planning and executing detailed R&D activities in order to meet project objectives and deadlines, generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Taking charge of administrative responsibilities such as safety, asset management and other aspects related to being a member of Temasek Labs@NTU.

Job Requirements:

• PhD degree in Electrical & Electronics Engineering or other related fields
• Strong background and knowledge in modern RF communications / digital signal processing particularly in Radar or Array processing.
• Strong algorithm development and programming skills on MATLAB
• Familiarity with Ettus USRP devices, GNU Radio/Labview programming are plus factors.
• Good publication record.
• Excellent communication skills in English

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

The Institute for Digital Molecular Analytics and Science (IDMxS) invites applications for the position of Research Fellow.

Key Responsibilities:

• Contribute to the design, implementation, and optimization of analytical assays based on the optical imaging of functionalized nanospheres and their interactions with biological targets (including nucleic acids and proteins)
• Synthesize and/or prepare the required assay materials
• Test a wide range of assay conditions and sample types (potentially clinical samples)
• Assist in identifying ideal assay targets based on literature/market/survey-based research
• Collaborate with other IDMxS research clusters (Transduction, Analysis, and Translation) to package the optimized assays into a complete commercial product
• Perform outreach and collaborate with industry and clinical partners
• Perform literature reviews and stay up to date on developments in the field
• Author regular reports and presentations to keep stakeholders updated on progress
• Contribute to publications and patent applications
• Collaborate with other IDMxS researchers to conceptualize and propose novel assays when feasible
• Supervise PhD and undergraduate student projects as required

Job Requirements:

• PhD Degree in Chemistry, Materials Science, Biophysics, or related disciplines
• Excellent knowledge in biochemistry/biophysics (nucleic acid design, protein interactions)
• Experience in analytical assay design and optimization is preferred
• Experience with optical imaging methods is preferred
• Experience in nanomaterials synthesis (gold/silver) and conjugation is a benefit
• Good writing and communication skills
• Proficiency in English
• Ability to thrive in a highly multidisciplinary team-based environment

We regret that only shortlisted candidates will be notified.

A Research Engineer to support the research for developing perception algorithms based on 4D radar. A Research Engineer position is available in the area of sensors perception and platform design in a project that involves simultaneous localization and mapping (SLAM) algorithms and deep learning object detection.

The successful candidate will work with Prof. Danwei Wang and a group of Research Fellows, Research Associates, and Ph.D./Masters/Bachelors students in the school of EEE at Nanyang Technological University, Singapore.

Key Responsibilities:

• Perform research, development, implementation, and experimentation of the perception algorithms based on 4D radar
• Solve problems of robust perception in rainy weathers and expand the usage of the technologies to other weather conditions such as fog and smoke
• Utilize expertise in deep learning, simultaneous localization and mapping to contribute to research activities
• Responsible for algorithms design and implementation
• Conduct place recognition based on 3D and 4D radar fusion
• Develop 4D radar SLAM algorithm
• Collaborate with interdisciplinary teams to integrate radar-based perception into larger systems
• Other engineering support on hardware and software

Job Requirements:

• A Bachelor/Master degree in automatic control, robotics, electrical engineering, etc
• Strong skills in C++, Python, Linux, and experience with ROS, and code management tools (git)
• Experience with algorithms based on different sensors (4D radar, 3D LiDAR, rgb cameras, thermal cameras, etc)
• Familiar with deep learning frameworks (such as Pytorch)
• Experience with deep learning based object detection
• Experience with SLAM and multi-sensor fusion algorithms
• Experience with place recognition based on sensors fusion

Preference will be given to applicants with the following additional skills:

• Has experience in multi-sensor perception and SLAM algorithms.
• Has experience in Lidar, cameras, radar, etc.
• Has experience in projects related to autonomous systems or robotics.

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. The Research Fellow will work on a Vision-Language project to conduct the research on visual reasoning, vision and language, causal reasoning.

Key Responsibilities:

• Development of machine reasoning methods.
• Development of vision-language methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning.
• Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery.
• Development of deep learning methods and theory.
• Development of computer vision methods.
• Development of natural language processing methods.
• Development of causal inference theory.

Job Requirements:

• PhD. in Computer Science, Electrical Engineering or related disciplines
• Minimum 3 years of related work experience
• At least 3 topic-related publications in top-tier journals and conferences, including CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, TPAMI, IJCV, TIP, TMM.
• Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision and Causal Inference
• Experience in at least one Deep Learning framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++
• Demonstrated project experience related to causal inference will be an advantage
• Good written and oral communication skills

We regret that only shortlisted candidates will be notified.

The School of Physical & Mathematical Sciences invites applications for the position of Research Associate.

Key Responsibilities:

• Develop and setup the technique fs laser direct-write and optical cavity integration.
• Setup and align optical beamlines/setups for home-built micro-transient optical spectroscopy experiments.
• Conduct micro-transient absorption spectroscopy studies on the measurements of carrier diffusion length.
• Perform data analysis and data interpretation of micro-transient optical spectroscopy experiments independently.
• Assist the principal investigator with the writing of research papers.
• Assist the principal investigator with the writing of research grants.
• Assist the principal investigator in the supervision and mentoring of a small research team comprising of post-graduate students and undergraduate students.

Job Requirements:

• MSc Degree
• Minimum 3 years of Research Experience in Ultrafast Lasers and Ultrafast Laser Spectroscopy of semiconductor materials.
• Minimum 3 years of Research Experience in the study of photophysics in semiconductor systems.
• Excellent knowledge in chemical synthesis, optics, photophysics of semiconductors, charge and quasi-particle dynamics, charge transfer mechanisms, femtosecond lasers, and femtosecond laser spectroscopy is essential.
• Excellent knowledge in the optical characterization of semiconductor materials (including nanostructures) which includes transient spectroscopy (pump-probe, time-resolved PL), and material characterizations (XRD, AFM, GIWAXS/GISAXS).

A written and oral test of the candidate’s technical competency of femtosecond lasers, photophysics concepts, and ultrafast optical spectroscopy basics will be conducted during the interview.

We regret that only shortlisted candidates will be notified.