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 Associate to build the IoT hardware platform and design new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Design and develop hardware systems for IoT.
• Participate academic activities
• Assist in on-site experiments and data acquisition in application environment.
• Develop algorithms for spectrum optimization, blockchain and edge computing.
• Publish high-level academic papers
• Collaborate with other team members to build satellite IoT testing systems and draft research report.

Job Requirements

• Master or 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.

Research and development (R&D) managers qualifications, including:

• Education: A bachelor's or master's degree in a relevant field, science or technology
• Experience: two years of experience in R&D roles
• Communication: The ability to communicate with various departments across the business
• Leadership: The ability to lead a staff
• Technical expertise: The ability to document and interpret complex requirements
• Innovation: The ability to develop new products, improve existing processes
• Business sense: An understanding of both business and science

R&D managers are responsible for planning and executing strategies to foster new ideas and advancements. A compelling CV for this role should demonstrate a balance of creativity, strategic thinking, and leadership skills

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.

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• Open to fixed-term contract.

Regional Sales Manager

• Location: Science Park Road
• Working Days: 5 Day A Week
• Working hours : 9:00am - 6:00pm
  Salary : USD 4,583 - USD 6,375 (Annual salary USD 55,000 - USD 76,500) - excluding commission

Responsibilities:

• Build and execute a strong sales strategy for New Business growth in the territory and achieve KPIs
• Generating and qualifying opportunities for for Sales and/or create new opportunities for business growth.
• Work closely with cross team members such as Inside sales/Marketing and self research to identify and engage prospects
• Build and execute a strong sales strategy for New Business growth in the territory and achieve KPIs
• Building and maintaining strong professional relations with existing customers through regular CRM activities.
• Delivery on revenue accountability with Pipeline creation, progression and timely closure, working with manager and cross team members
• Building and maintaining strong professional relations with existing customers through regular CRM activities.

Requirements:

• 5+ years of SaaS sales experience preferred with a strong track record of closing new business deals and growing accounts
• A self starter who can generate leads and establish a structured sales methodology and process including opportunity validation, pursuit and closure. This includes a sales operating pace, providing accurate forecast and pipeline updates to the business stakeholders
• Perform business development-related work as an ambassador of company in the Subsidiary
• Proficiency in Microsoft Office (Outlook, Excel and Word) and CRM usage such as Zoho CRM softwar/ Zoho Campaigns Manager.
• Prior experience CEO level software solution selling is essential.
• Ability to work with all levels of professionals within a business including key business decision makers like Owner/CEO, Directors, Business Managers, IT Managers and Solution Architects.

Whatsapp +6588278652 (Hym)

Goh Hym Yien Reg No: R24121939

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

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.

As a clinical research coordinator, you will be actively involved in coordinating clinical trial activities according to the study protocol and in compliance to the ICH Good Clinical Practice guidelines and the Health Products (Therapeutic Products) Regulations under the Health Product Act.

You will support and assist the Principal Investigator in the following trial related activities:

• Patient screening and recruitment,
• Monitoring subject’s compliance to their treatment and follow-up,
• Data collection and management including resolving data discrepancies,
• Coordinating the collection of biological specimens,
• Monitoring of adverse events and safety reporting,
• Maintaining and organising of investigator site files, preparation and submissions to the ethics committee and relevant local health authorities,
• Tracking of trial expenditures and timely invoicing.

Requirements:

• Degree in Life Sciences/Nursing
• OR Diploma in Nursing with minimum 6 years working experience as CRC
• 2 years of related working experience will be advantageous
• Excellent time-management and communication skills
• Able to work independently and as a team
• Detail-oriented and self-motivated
• Good grasp of MS Office applications

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Key Responsibilities:

• To develop and setup the technique fs laser direct-write and optical cavity integration.
• To setup and align optical beamlines/setups for home-built micro-transient optical spectroscopy experiments.
• To conduct micro-transient absorption spectroscopy studies on the measurements of carrier diffusion length.
• To perform data analysis and data interpretation of micro-transient optical spectroscopy experiments independently.
• To assist the principal investigator with the writing of research papers.

Job Requirements:

• Candidate must possess at least a Master Degree in Physics or Chemistry or Chemical Sciences.
• In addition to Master degree, candidate must possess at least a BSc 1st Class/2nd Class Upper Honours Degree in Physics or Chemistry or Chemical Sciences or nanomaterials and nanotechnology.
• Candidate will be tasked to prepare perovskite nanomaterials and conduct ultrafast optical spectroscopy studies on them.
• He/She is also required to perform data analysis and data interpretation.
• 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. 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.
• 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).
• Critical Requirement: Candidate must have a Minimum 3 Years of Research Experience in Ultrafast Lasers and Ultrafast Laser Spectroscopy of semiconductor materials.
• Critical Requirement: Candidate must also have a Minimum 3 Years of Research Experience in the study of photophysics in semiconductor systems.

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.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for suitable Research Fellow who is interested to work with Dr Prateek Bansal's research group at the National University of Singapore (NUS). The project involves understanding preferences for Mobility-as-a-Service (MaaS), estimating its effect on public transport, and quantifying system-level emission impact of MaaS.

The candidate will be responsible for:

• In-depth review of the literature.
• Designing and conducting stated preference experiments
• Developing and estimating discrete choice models
• Devising optimization-based approaches for system-level MaaS design by integrating results from discrete choice models.
• Creating an agent-based model to simulate the emission impact of MaaS

The successful applicant is expected to pursue independent as well as collaborative research and must be willing to participate in writing grant proposals and supervising doctoral/postgraduate research students.

Job Requirements

• Possess a PhD degree in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines.
• Has good understanding of discrete choice experiments and model estimation,
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Strong written and spoken communications.
• Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (postdoc) positions in the Department of Chemical and Biomolecular Engineering at National University of Singapore (NUS).

The primary objectives of these two positions are to foster a profound design principle towards novel, cost-effective electrocatalysts and reactors for the efficient conversion of CO2/CO into liquid fuels. Furthermore, these roles will involve exploring the potential for synergizing biochemistry and electrochemistry, with the overarching goal of enhancing selectivity and efficiency in the conversion of CO2 into multi-carbon products. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research fellows are required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

The applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

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.

We are expanding our laboratory unit at the Pediatric Brain Tumor Research Office, SingHealth Duke-NUS Academic Medical Center. This is a Research Officer position. You will be working on molecular and cellular characterization of genes and biochemical/functional experiments related to translational aspects of human carcinogenesis, as well as mouse models.

Requirements:

- Bachelor of Science with Honors.
- Technical competence in a broad set of laboratory skills.
- Laboratory experience in molecular biological and cell culture techniques will be required.
- Experience in handling experiment with laboratory mice.
- Fluent in both written and spoken English.
- Ability to work independently, a good team player with good communication skills and dedication to the job.
- Conscientious, well organized and efficient in work management.
- Basic skills in computing and statistics analyses.

You are expected to work in a very friendly laboratory environment, with great learning opportunities, and mentorship from a clinician-scientist. Motivated individuals with good academic performance are encouraged to apply.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

#LI-JN2

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD