Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are looking for experienced individuals with a strong background in computational modelling, thermal energy systems, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced computational techniques and thermal energy storage solutions, focusing on discovering novel materials and optimizing energy systems through machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

Key Responsibilities:

• Work closely with colleagues to ensure the requirements of the research project are met
• Conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development
• Use artificial intelligence (AI) techniques for material discovery and/or device design
• Use 3D printing techniques to fabricate phase change materials (PCM) composites
• Assist in experimental works or other required works by the PI
• Use data science techniques to process experimental results
• Write scientific papers/technology/reports and other work-related documents
• Develop machine learning algorithms for material discovery and novel heat exchanger design to seamlessly integrate PCMs into thermal systems.
• Fabricate PCM composites with optimized geometries through 3D printing technologies.

Job Requirements:

• Master's degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret that only shortlisted candidates will be notified.

NTi Technology is a subsidiary of NTi Memtech Pte Ltd. We are a technology company specializing in membrane material research and development, membrane product manufacturing, membrane technology applications and services. NTi has its own fully equipped membrane R&D center and manufacturing base in Singapore to produce high-performance hollow fiber membranes.

Currently, we are looking for engineering, science, business and manufacturing interns with interests in membrane marketing, research, product development, and production.

We Offer:

• Hands-on experience in a full-scale membrane manufacturing facility, from research to production to delivery.
• Mentorship and training from experienced professionals in the field.
• Exposure to industry-standard practices and technologies.
• A supportive and collaborative work environment.

1. Membrane Research Intern:

Responsibilities and duties:

• Support and assist in QC inspections for daily membrane production (lab works).
• Maintain quality-related documentations (soft & hard copy) including SOPs, check lists, reports, etc.
• Support and assist in the testing for new membrane products.
• Assist in the Maintenance and calibration of lab equipment.
• Other related duties assigned.

Requirements:

• Familiar with handling chemicals.
• Strong hands-on capability and independent in performing experiments such as i) general chemical experiments; ii) how to use basic lab equipment like weighing balance, pH meter, pipette and etc; iii) laboratory safety practice. For any other equipment like FTIR, UV-Vis and TOC , they will be trained before they can operate.
• Good understanding of safe lab practice.
• Good written and spoken communication skills. Ability to communicate with equipment and material suppliers/ manufacturers based in China would be advantageous.
• Good team player, self-driven and meticulous.
• Year 3/ Year 4 students are preferred.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Fellow to be involved in research and development for the IoT hardware platform and new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Participate in academic activities and system design
• Prepare report and publish high-level academic papers
• Collaborate with other team members to be involved in satellite IoT testing

Job Requirements

• PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

We regret to inform 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.

Position Available: Research Associate, Microbiome & Bioinformatics

We are looking for a Research Associate to join the laboratory of Dr Anni Zhang at SBS. This role focuses on a cutting-edge project, “Predicting DNA-Protein Binding to Enhance Bacteria-Based Cancer Therapy Safety and Efficacy.”

Key Responsibilities:

• Collect and analyze bacterial sequencing data.
• Design bioinformatics and statistical models to detect selective sweeps in the gut microbiome.
• Provide guidance on other microbiome-related projects within the lab.
• Other duties as assigned.

Job Requirements

• A Master's degree in Quantitative Biology or a related field, with a focus on bioinformatics.
• Strong communication skills in English - essential for data analysis and communication with stakeholders
• Experience in developing statistical models.
• Strong background in microbiology and mathematics.
• Personal attributes: patient, curious, cooperative, and meticulous.

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 that only shortlisted candidates will be notified.

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in heterogeneous catalysis to develop improved catalyst formulations for conversion of plastic waste into carbon nanotubes and hydrogen.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to develop catalysts that will allow to reduce catalyst cost and increase carbon nanotubes yield to make the process more economically viable.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Catalyst formulation and testing in pyrolysis-CVD process;
• Liaising with toll manufacturers regarding the feasibility of scaled up catalyst production.
• Cost-benefit analysis for the developed catalyst(s).
• Publishing research papers and documenting developed intellectual property. Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to heterogeneous catalysis (e.g., Chemical Engineering, Materials Science, Environmental Engineering or other).
• PhD thesis or postdoctoral experience related to heterogeneous catalysis for at least one of the following areas: (a) catalytic waste conversion into carbon nanotubes and hydrogen, (b) catalytic single-walled and/or multi-walled carbon nanotube synthesis from any feedstocks.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results even under challenging circumstances and understanding what needs to be done to deliver the project.

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

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 seeking a highly motivated and innovative postdoctoral researcher to join our dynamic team at the School of Materials Science and Engineering, Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of 3D printing, optics, sensor, with a focus on materials for optical waveguides and other optical devices.

Key Responsibilities:

• Conduct independent research related to optical waveguide materials and engineering.
• Optimize formulations for UV 3D printing and direct ink writing 3D printing.
• Contribute to ongoing research projects in optics and photonics.
• Design and prototype using CAD software and 3D printing technologies.
• Collaborate with faculty and researchers on interdisciplinary projects.
• Publish research findings in peer-reviewed journals and present at international conferences.
• Assist in mentoring graduate and undergraduate students.

Job Requirements:

• Ph.D. in Material Science, Chemistry, Sensors, or a related field.
• Strong background in formulation for 3D printing.
• Experience with optimization of ink formulation for 3D printing.
• Demonstrated expertise in optics research.
• Proficiency in CAD software and 3D printing technologies.

Desired Skills:

• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with machine learning and AI applications in engineering.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a team.

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

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 drive innovation in soft and stretchable electronic systems by addressing critical challenges in interconnect design, enabling their extensive deployment in advanced applications. The role involves leveraging expertise in flexible electronics, modular soft robotics, and artificial neuron systems to develop intelligent, adaptive technologies that integrate sensing, data processing, and actuation capabilities. The aim is to contribute to the creation of robust, scalable solutions that advance the field of soft interconnects and intelligent devices.

Key Responsibilities:

• Conduct research collaboratively with team members to ensure the timely completion of project deliverables.
• Design, develop, and fabricate soft interconnects for stretchable electronic devices, enabling their integration into functional systems such as wearable and robotic platforms.
• Collaborate with internal and external stakeholders to advance the deployment of next-generation flexible and stretchable electronic systems.
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences.
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD degree in mechanical engineering, mechatronics engineering, or related field.
• At least 4 years of relevant experiences in soft robotics
• Expertise in soft robots, actuators, mechanical sensors, strain sensors, flexible electronics.
• Proficiency in mechanical testing, electrical testing, materials characterization, system integration
• Good written and oral communication skills
• Capable of design and assemble of device prototypes.
• Candidates with publications in top-tier scientific journals are preferred.

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

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 work on design and flexible electronics. The role will focus on Investigate new functional materials and material composites for sensors, electrodes, substrate, and develop strain sensor array with lightweight in large scale.

Key Responsibilities:

• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Designed, develop and fabrication flexible sensor array, integrate biosensors into hybrid electronic devices, advancing wearable device functionality.
• Collaborate with internal and external stakeholder on Hybrid-Integrated Next-Generation μ-Electronics
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences .
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD degree in Materials Science and Engineering or related field
• At least 4 years of relevant experiences in flexible electronics
• Expertise in flexible electronics, mechanical sensors, strain sensors, tactile sensors.
• Proficiency in mechanical testing, electrical testing, materials characterization, system integration
• Good written and oral communication skills
• Capable of design and assemble of device prototypes.
• Candidates with publications in top-tier scientific journals are preferred.

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

Research Assistant/Associate, Analytical Chemistry

We are currently recruiting a highly motivated Research Assistant/Associate in the team of Nanyang Assistant Professor Guan Xue Li. Our group is interested in understanding the roles of microbial lipids in human health and antimicrobial resistance. It is increasingly appreciated that microbial lipids play critical functions in modulation of human metabolic and immune health, as well as infection outcome and treatment responses. We employ an integrated systems biology approach, including development and application of lipidomics, to study the complex repertoire of bacterial lipids and aim to identify lipid metabolic networks which can be modulated for treatment of infections.

The successful candidate will have the opportunity to work with a multidisciplinary team of investigators in LKCMedicine, clinical and industry partners, as well as the wider lipidomics community, including the microbial lipids interest group. This position will expose the candidate to state-of-the-art technologies for lipidomics/ metabolomics, other leading edge research facilities in LKCMedicine and NTU and access to clinical samples, including bacterial isolates from human patients.

Key Responsibilities:

• Optimize bioanalytical workflows for lipid analysis of microbial and mammalian samples from laboratory and clinical sources
• Perform sample preparation and LC-MS/MS analysis
• Assist in maintenance and troubleshooting of HPLCs and mass spectrometers
• Routine operation of LC-MS/MS
• Assist in processing and quality control of lipidomics data
• Support research projects
• Prepare project updates
• Participation in evaluation measures and quality assurance
• Research administration and fulfilment of institutional requirements

Key Competencies and Requirements:

• Bachelor’s or Master’s degree in Biomedical Sciences, Life Sciences, Bioengineering, Analytical Chemistry related disciplines
• 1-2 years of working experience in bioanalysis using LC-MS, but recent graduates with the right aptitude will be considered
• Hands-on experience with operation and troubleshooting of high performance liquid chromatography mass spectrometer(s) preferred
• Problem-solving and critical thinking skills
• Highly self-motivated and demonstrate independence with minimal supervision
• Possesses excellent organizational and communication skills, fluent in spoken and written English
• Able to supervise students, and work as a team
• Able to work collaboratively, and to handle several concurrent fast-paced projects

If you are interested to pursue a career with the School, please write to Assistant Professor Guan Xue Li (mailto:[email protected]) with a cover letter, CV, list of publications, and names and contacts of at least two references at your earliest convenience.

Only full application will be considered, and shortlisted candidates will be notified.

Duties:

• Start from the design, development, building and qualifying of various lab instruments, the major focus is in Sample Preparation equipment including our featured FastPrep family (homogenizer).
• Develop and fabricate test equipment in line with test specifications under the direction and guidance of direct supervisor.
• Execute tests using test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise, weight etc.
• Collect and analyze test data/results, document results and outcomes.
• Support the design and fabrication/assembly of both working and visual prototype models. Materials include foam, plastics, and various metals.
• Analyze equipment failures and factory work stoppage problems and provide solutions
• Fabricates, repairs, improves designs of and constructs mechanical and electro-mechanical equipment
• Coordinate with outside calibration vendors effectively
• Maintains detailed and up to date test data in laboratory notebook and active test logs
• Support manufacturing ramp up, and design transfer during product development

Requirement:

• Master's Degree and above in Electrical Engineering or Mechanical Engineering
• 5 years of hands-on Mechanical and Electrical experience.
• Possess broad base of knowledge with understanding and skills in the following areas: Electrical, Fabrication, Tool Making, Machining.
• Must be proficient in the use of machine shop equipment and all hand tools including saws, sanders, drills, grinders, press, brake, shear, lathe, milling machine.
• Able to operate test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise and weight.
• Can work from prints, sketches, written and verbal instructions.
• Reads wiring/electrical and piping schematics and engineering drawings.
• Electrical experience/training in use of and design of AC and DC circuits.
• Piping experience and ability to use electrical test equipment and measuring tools necessary.
• Self-motivated, team player with excellent communication and problem solving skills
• Experience and knowledge of the following areas preferred:

1. Rapid Prototyping
2. Testing and Design Controls
3. Installation
4. Design

Responsibilities:

• Assist in formulation and new product development by carrying out lab trials and evaluating product performance.
• Participate in production trials and process validation of personal care and cosmetic products.
• Liaise with suppliers for raw materials sourcing for new projects or improve the current formulation.
• Keep updated with current cosmetic and skincare trends, consumer insights, and competitive product strategies.
• Ensure product development compliance with ISO 22716, Halal, ASEAN Cosmetic Directive (ACD), and statutory and company requirements.
• Conduct product stability, packaging compatibility, efficacy testing, and accurate trending of results.
• Manage and maintain all documents and records to ensure the laboratory is in a state of readiness for testing support.
• Participate actively in validation methods for analytical testing of new and existing products.
• Resolution of technical issues that arise during the development, production, operation, or performance-based.
• Participate in corrective and preventive actions on customer complaints by ensuring details are recorded and monitored and investigate products that fail compliance standards.
• Ensure adequate chemical inventories and lab consumables.
• Maintain workplace safety and cleanliness.

Requirements:

• Degree in Chemistry or equivalent, specializing in personal care and cosmetic products.
• Minimum 2 years of working experience/background in the personal care and cosmetic manufacturing industry is preferred.
• Knowledge of personal care production and processing will be an added advantage.
• Understand how to develop formulation & functions of raw material.
• Good communication and interpersonal skills.
• Strong analytical skills and ability to resolve complex problems in a timely and effective manner.
• Strong sense of responsibility.
• Able to work independently and as a team.
• Proficient in Microsoft Office (Word, Excel, and PowerPoint).

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.

Position Available: Research Associate

SBS invites applications for the position of Research Associate in Professor Zbynek Bozdech’s group. This role focuses on functional omics studies of the malaria parasite, including Transcriptomics, Proteomics, and Genomics.

Key Responsibilities:

• Perform bioinformatic analyses on bulk, single-cell, and multi-omics sequencing datasets from diverse sources (e.g., patients, in vivo, in vitro).
• Identify novel biomarkers, key regulators, mechanisms, or pathways using datasets such as whole genome sequencing and RNA-seq.
• Develop and maintain bioinformatic pipelines for genomics and transcriptomics processing and analysis.
• Stay updated on advancements in bioinformatics and data science, integrating new methodologies into research workflows.
• Collaborate with cross-functional teams to incorporate bioinformatic solutions into broader research projects.
• Any other duties as assigned.

Job Requirements:

• A Master’s degree in Bioinformatics, Computational Biology, Biology, or Biochemistry.
• Advanced expertise in bioinformatics, with knowledge of population-scale genomics.
• Proficiency in programming languages such as R and/or Python.
• Experience working in a Linux/Unix environment.
• Strong problem-solving skills and excellent attention to detail.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Job Description:

We are currently seeking talented individuals with:

• A PhD in many-body quantum physics or similar
• Able to do literature review and summarize the main findings from the literature
• Competence in numerical many-body quantum physics
• Competence in disseminating the outcomes of the research including in peer-reviewed academic publications of international standing
• Ability to support the research team
• Perform other tasks as required by the Principal Investigator

Job Requirements:

To apply for this position, applicants should be:

• Proficiency or understanding many-body quantum systems out of equilibrium
• Expertise in simulating many-body quantum systems
• Proficient communication and writing skills in English
• Possess excellent problem-solving abilities as well as strong attention to detail.
• Someone who can work independently while still collaborating effectively within a team environment when needed.

Job Scope

1. Experience of selected electrical parts, circuit design, printed circuit board design, standard design and evaluation.
2. Knowledge of explosiion-proof (FM, CSA, ATEX), Safety (CSA, CE), EMC (IEC) and Classification (Lloyd's Register of Shipping, American Bureau of Shipping, Bureau Veritas, Det Norske Veritas).
3. Businsess knowledge of leadership, logical thinking of Yokogawa product knowledge.
4. Can use Electrical circuit CAD, PCB CAD, Electrical Circuit simulation.

Requirement

1. Master or Bachelor in Engineering, preferably on Electrical & Electronics Engineering with at least 8-10 years of related working experiences.
2. Knowledge of ISO9001, ISO14001 & ISO45001 standards.
3. Able to read, write and communicate technically in English and Japanese fluently with Headquarter team

The School of Physical and Mathematical Sciences (SPMS) of NTU is an exciting environment for research. The Yong research group works on novel problems in biological and complex systems and has published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc.

Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social networks, financial markets, etc., in order to understand their behavior, pattern and interaction.

Understanding the structure-function relationships of biomolecules is an active area of research due to its fundamental importance in biology, physics, and engineering. The emerging field of Mathematical AI for Molecular Sciences is proposed for molecular representation, featurization, and learning. We are interested in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex. The results from the research will provide key insights to understanding the structure-function relationships of biomolecules.

The Yong research group is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research that can be published in high impact journals. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing.

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

Key Responsibilities:

• Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA.
• Develop simplicial models for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruple, to better understand form-function relationship in biology.
• Use molecular modeling and AI (using e.g., the SMILES protocol) to quickly and accurately assess compounds with Essential Physicochemical Properties for drug design and development.
• Translate research findings into practical applications in pharmacology.
• Perform numerical simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• PhD from a reputable university, preferably in physical sciences or STEM related field.
• Good publication track record.
• Strong background in artificial intelligence and biochemistry with prior experience in numerical simulations.
• Expertise in numerical simulations, and the ability to code and run simulations on deep learning workstation/supercomputers clusters.
• Able to think and work independently and have the aspiration to perform high quality research that can be published in high impact journals

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

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

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

Job Description

Candidate applying for this position shall research, develop and implement AI robotics to create an intelligent environment in the robotics for autonomous manufacturing.

Roles & Responsibilities

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Conduct technology scouting for industrial robotic applications and automation best practices.
• Perform process mapping and feasibility analysis for robotic processes.
• Develop smart robotic automation options, project proposals, and scoping.
• Engineer and conceptualize robotic processes.
• Program robotic motion using simulation-based techniques.
• Execute the project lifecycle for robotic process development and implementation.
• Prepare technical project documentation and presentations
• Develop and optimize advanced robotic algorithms for perception-guided manipulation.
• Maintain and support software components for manipulation systems.
• Collaborate with hardware engineers to integrate software solutions.
• Create and implement transfer learning models for various machine learning tasks.
• Collaborate with domain experts to tailor transfer learning models to specific business needs.
• Utilize transfer learning to enhance expert skill efficiency and applicability.
• Stay updated on the latest advancements in transfer learning and skill adaptation.

Job Requirements

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimum 2 years of experience in industrial robotic automation development and deployment.
• Expertise in ROS and programming languages like C++, C#, Python, or JavaScript.
• Knowledgeable about Linux platforms and command line operations.
• Deep understanding of robot manipulation and kinematics.
• Proficient in CAD software, especially Siemens NX.
• Strong in industrial and collaborative robot programming.
• Familiarity with offline robot programming software like ABB-RobotStudio, Robotmaster, or RoboDK.
• Experience with machine learning frameworks (TensorFlow, Pytorch, Scikit- Learn, Caffe) and computer vision tools (OpenCV, PCL) is advantageous.
• Skilled in working with diverse datasets and applying transfer learning.
• Proficient in rapid prototyping and constructing neural network models efficiently.
• Strong problem-solving skills and analytical mindset.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in chemical reactors to develop an improved prototype for a thermocatalytic process.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will work on the design, fabrication and testing of a chemical reactor system that will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to design a system prototype that can effectively mitigate the impact of impurities from diverse plastic waste streams on production outputs and can be operated in a continuous mode.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Experimental work on plastic waste conversion into carbon nanotubes and hydrogen.
• Design, procurement, installation and operation of the prototype system;
• Investigation of system performance and determining factors that influence the yield and quality of outputs;
• Development of improvements in system design to mitigate the factors decreasing quality and yield of outputs;
• Development of a continuous process;
• Liaising with vendors regarding the feasibility of scale up and conducting a cost-benefit analysis.
• Publishing research papers and documenting developed intellectual property.
• Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to chemical reactor engineering (e.g., Chemical Engineering, Thermal Engineering, Mechanical Engineering, Process Engineering or other).
• PhD thesis or postdoctoral experience related to chemical reactor engineering for at least one of the following areas: (a) catalytic reactors, (b) continuous reactors.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers.
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results, even under challenging circumstances.

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

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 8 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.

The School of Mechanical & Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the research for Autonomous Navigation Algorithm for eVTOL Development under the eVTOL Research and Innovation Centre.

Key Responsibilities:

• The candidate will be leading the development of autonomous navigation algorithm for eVTOL aircrafts.
• The work will involve sensor fusion, development of perception, computer vision, machine learning methods and path planning for eVTOL, test rig set-up, and experimental validation.

Job Requirements:

• Candidate must at least have a Ph.D. Degree in Aeronautics and Astronautics Engineering, Aerospace, Engineering, Control Engineering, Automation, Mechanical Engineering, Robotics, AI, etc.
• Strong background in autonomy and control, and automation.
• Candidates having relevant research or working experience in unmanned aerial vehicle systems will be preferred.
• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.
• Able to contribute to Journal/Conference papers with good presentation

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 Singapore invites applications for Lecturers for a course titled “Science and Technology for Humanity".

New Curriculum - Interdisciplinary Collaborative Core

NTU is reshaping its undergraduate curriculum to emphasise interdisciplinary and collaborative learning in the foundation years. This interdisciplinary and collaborative curriculum, consisting of 7 core courses, is designed to enhance students' cognitive agility, competence, and character beyond their chosen majors. These core courses are mandatory across all NTU undergraduate programmes and will be concentrated in the first two years of study, featuring mixed-class environments to foster multidisciplinary collaboration from the outset of students’ university experience. Through diverse team projects and assignments, students will engage in group learning that spans different disciplines.

The content for these core courses is developed by faculty from a range of fields to offer multiple perspectives on key issues, aligning with NTU's graduate attributes. Each course emphasises key transferable skills and addresses global challenges. A flipped classroom approach is used, allowing students to learn the materials before class, thereby maximising in-class deep learning, collaborative discussions and group activities.

"Science and Technology for Humanity" (ST4H), one of the core courses, is inviting candidates to contribute to NTU’s Interdisciplinary Collaborative Core (ICC) curriculum. Required for all undergraduates, ST4H explores the social, economic, and political impacts of science and technology, encouraging students to address societal issues through an interdisciplinary lens that integrates both STEM and non-STEM perspectives.

This role is pivotal to the Interdisciplinary Collaborative Core (ICC) Office’s mission to implement an interdisciplinary and collaborative curriculum aimed at cultivating future-ready graduates.

Key responsibilities include:

• Facilitating and conducting all teaching assignments, both face-to-face and virtual delivery
• Developing an instructional plan (known as a course outline or syllabus) for the course(s) they teach and ensuring that it meets university standards
• Developing, designing, and continuously improving lesson plans and class activities, assignment tasks and rubrics to foster student learning, stimulate class discussions, and ensure student engagement
• Supporting course administration such as course evaluation, online course materials, attendance records, academic counselling on student progress
• Conducting assessments, marking and grade entries, feedback to students, student consultations, non-academic matters etc.
• Developing course materials and learning resources for course delivery and support students’ learning
• Providing regular course and student progress statistics for reporting and strategic decision making
• Taking on course co-coordination responsibility, and working with others in the course as a team to ensure a positive and supportive learning and working environment for all—students, staff and faculty
• Demonstrating values and principles of professional conduct in all endeavours
• Any other assigned duties

Candidates with the following qualifications are encouraged to apply:

· MA or PhD training across STEM and/or humanities and social science fields

· Training relevant to one of the course topics (e.g., the future of work, Al and robotics, technology’s role in rebalancing power, transformations for health and wellbeing, life beyond humanity)

· Teaching and mentoring experience and experience with team teaching is preferred

· Interest and/or proficiency in technology-enhanced learning (e.g., developing online learning activities and assessments, creating lectures to be streamed online)

· Ability to work in a team

· A demonstrated potential for scholarship is an advantage

Applicants are invited to submit their applications (cover letter, CV, research and teaching statements, and citation report, where applicable) through the NTU career portal

https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/ICC-Lecturer--Science-and-Technology-for-Humanity-_R00019210.

The closing date for applications is 31 December 2024.

If you have any questions about this position, please write to:

ICC Lecturer Search Committee
Email: [email protected]

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.

We are looking for a Research Associate to enhance the blast resistance of precast structures and analyze progressive collapse in flat slab systems. The role will focus on creating safer and resilient environments, addressing critical challenges, such as structural safety and resilience, and contributing meaningfully to our overarching commitment to protect communities and foster innovation in construction safety.

Key Responsibilities:

• Conduct research and perform in-depth analyses to improve blast resistance in precast structures and assess the risk of progressive collapse in flat slab systems.
• Develop and implement innovative methods and solutions to enhance building safety and structural resilience.
• Collaborate with interdisciplinary teams to design, test, and optimize new materials and construction techniques.
• Provide expert guidance on blast mitigation strategies and progressive collapse prevention in project planning.
• Ensure project compliance with safety standards while contributing to the university’s mission of fostering innovation and protecting community welfare.

Job Requirements:

• Master’s degree in Civil/Structural Engineering or related field
• Knowledge of blast effects on structures and progressive collapse analysis
• Familiarity with blast resistance safety standards
• Good written and oral communication skills
• Experience with precast concrete structure design and analysis
• Proficiency in structural analysis software and CAD.
• Competent in analytical, problem-solving, and communication skills

We regret to inform that only shortlisted candidates will be notified

The Nanyang Business School (NBS) is recruiting a Legal Research Associate in the area of AI, data protection and data privacy law, technology law, health law and cybersecurity law and practice.

Key Responsibilities:

• Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline etc
• Collate research materials found, inclusive of preparing summaries of research materials which involves reading and drafting written summaries of regulatory materials, legal judgments, and secondary materials
• Formulation and development of data governance practices and frameworks
• Implementing empirical research
• Other research administrative tasks

Job Requirements:

• Bachelor of Law degree or Juris Doctor from a good University, with experience in research and/or AI law and regulation and/or in data protection law
• Strong communication and interpersonal skills with leadership potentional
• Organised and meticulous
• Capable of following instructions meticulously
• Team player and able to work independently
• Solid understanding of technology is an advantage

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

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires a B.Eng/M.Eng./M.Sc. in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.