Total 2,224 Science / R&D / Research job vacancies in D05 Clementi New Town, Hong Leong Garden, Pasir Panjang

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer. The successful candidate will be required to work on reliability analysis of floating offshore wind turbines.

Job Requirements

• Possess at least a recognised bachelor degree in offshore engineering, or a related discipline.
• Candidate with strong background in reliability analysis of offshore structures, especially floating wind turbines will be preferred.
• Strong writing and communication skills.
• Having prior good publication record is advantageous.
• Open to fixed term contract.

ShipsFocus is world’s first and foremost maritime venture studio. We are at the forefront of maritime technology, creating startups and solutions that solve real problems for the trillion-dollar industry. We are committed to an employee-oriented, high performance culture that emphasizes empowerment, quality, and the recruitment and on-going development of a superior workforce.

Join us as interns. This is a unique opportunity to experience at the intersections of venture investment, startup ecosystem, and disruptive maritime technologies. You can expect direct involvement with and mentoring from our seniors. If you are looking to enter the financial or maritime industry or be an aspiring entrepreneur, get right into the action!

The Role:

• Conduct market and industry research on e.g. investment-related topics, maritime commerce, maritime tech startups/companies
• Extract and record data/information to prepare reporting content
• Detect and present meaningful patterns and trends
• Write and present research findings and reports
• Coordinate with other Team’s members to work on other ad-hoc projects

Job Requirements:

• Pursuing Degree in business & admin, management, economics, finance, maritime, or related programme
• Passionate about research and problem solving
• Eager to learn and able to grasp concepts fast
• Tremendously positive attitude and personable
• Active listener and communicator

Learning Outcomes & Objectives:

• Gain knowledge about the maritime industry, our Company, and products
• Gain knowledge about the basics in shipping from passionate shipping experts in the maritime industry
• Learn how to apply your skills and knowledge into actual business requirements
• Gain work experience in a vibrant maritime venture studio
• Learn how to contribute to work that are used by real customers
• Learn how to work in an agile development work process
• Learn to apply team work, communication and problem solving skills daily

Ready to join a purpose-driven organisation and take your career to the next level?

As our Marketing Executive, you will be responsible for the creation of compelling content, campaigns and communications which clearly conveys and defines Catalyse Consulting’s brand personality and flare.

Catalyse is the consulting and training arm of AWARE, Singapore's principle non-profit organisation for gender equality. Put your marketing abilities to use to help promote inclusive and fair workplaces.

Here’s what you’ll do:

• Assist the Director of Strategy in developing and executing marketing strategies and campaigns across various channels to promote Catalyse and its products/services.
• Produce compelling copywriting and create visually appealing content for digitical marketing materials, including social media graphics, website content and advertisements.
• Collaborate with internal teams to execute marketing campaigns that resonate with our target audience.

Here’s what you can expect as part of our team:

• Meaningful Impact: Your work with us will directly influence the growth and development of our organisation, which ultimately aims to make a positive difference in the corporate world.
• Diverse Experiences: You will have exposure to a wide range of industries and projects, allowing you to become more well rounded professionally and develop a versatile skill set.
• Networking Opportunities: Additionally, you’ll have ample opportunities with clients, partners, and industry professionals, creating valuable connections for your future career.
• Hands-on Learning: You will work alongside our experts, and actively participate in business development strategies, conduct research, create content, and assist in the development of social media campaigns.

You’ll need:

• Degree/Diploma in Marketing, Business Administration, or related field.
• A passion for creating impactful marketing campaigns.
• Proven experience in digital marketing and data interpretation..
• Excellent communication and collaboration skills.

Please note that, due to the large number of applications, only shortlisted applicants will be contacted for an interview. If you have any questions about this position, please email careers@aware.org.sg.

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 suitable candidates to apply for one Research Assistant position at the Department of Architecture, College of Design and Engineering (CDE), National University of Singapore (NUS).

The Project

The successful applicant will be part of a research project titled “Teaching Space: Building Morphology and Pedagogy in Asian Architecture Schools,” funded through the Ministry of Education (MOE).

This project investigates the form of architecture schools as a building type, and how this form has influenced the specific pedagogy of these institutions, with a focus on Asia. To identify the specificities of Asian architecture schools in terms of form and pedagogy, this study will involve a systematic comparison of plans, sections, 3D views, programs and quantitative data of a large array of architecture schools.

The research method of this study consists of two parts:
• Diachronic analysis: Researching the historical evolution of architecture schools in Asia and relating pedagogical programs to building form. This will involve archival research and dialogue with relevant institutions to secure information that is not available in the public domain.
• Synchronic analysis: Researching the present condition of a number of architecture schools in terms of teaching space and building morphology. This will require gathering large quantities of data, including orthographic drawings (plans and sections), of existing architecture schools, in order to format and analyse them.

Duties & Responsibilities

A full-time Research Assistant is required to undertake research and administrative roles during a 6 months-long appointment. The researcher will work closely with the Principal Investigator from the Department of Architecture, NUS. The main job responsibilities include:
• Elaboration of a precise list of buildings accommodating architecture schools in Asia and beyond in accordance with strict selection criteria;
• Establishing contact with architecture schools to obtain graphic data (plans, sections, elevations);
• Data collection of plans, sections and elevations of a selected number of buildings accommodating architecture schools;
• 3D modelling of a selected number of architecture schools;
• Literature review;
• Quantitative analysis and graphic ordering of such buildings in relation to their teaching spaces (area, height, occupancy, form, location, and adaptability of these spaces over time);
• Documentation of research (writing research reports, progress updates, preparing presentations and writing joint publications);
• Coordination and communication, administrative work, backing up of research data and documents;

The expected duration of the appointment is for 6 months. The earliest starting date is 1 June 2024.

National University of Singapore is a comprehensive university, that is ranked 1st in Asia, and 8th globally (according to QS World University Rankings of 2024). The Department of Architecture has also been consistently ranked top 10 in the same ranking (5th in 2024).

Contact information :
Hiring Manager: François Blanciak
Email: f.blanciak@nus.edu.sg

Qualifications

• Bachelor or Master’s degree in Architecture;
• Good knowledge of English is essential;
• Good drafting skills (AutoCAD, Adobe Illustrator)
• Good 3D modelling skills (Rhino)
• Good writing and communication skills;
• Good skills in working independently; good time management, systematic approach, and attention to detail;
• Experience in writing academic papers is a plus.

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 an experienced candidate to join our team for a solar resource assessment and forecasting project. Our team has extensive expertise in solar resource assessment, real-time monitoring, and solar forecasting, and we have recently completed a large-scale project to advance solar forecasting in the region. The project has been implemented into a fully automated operational system, which completed trial phase, and we are continuously working to improve it.

The selected candidate will have the opportunity to work closely with highly experienced professionals in the cutting-edge field of fast-paced solar forecasting and resource assessment. The daily work routine will involve developing various algorithms, including but not limited to machine-learning models, satellite image processing models, coding, code optimization, and implementation of real-time forecast post-processing models. Additionally, as part of the project, our client requires on-site support for the system, and we are looking for candidates with programming and troubleshooting experience to join our team. The candidate will also play a key role in supporting the future strategic goals and
developments for improving solar forecasting software.
· DevOps and software engineering responsibilities.
· Responding technical queries and bug fixing of solar forecasting tool.
· Contributing the scientific development of solar forecasting and additional software.
· Supporting, developing, maintenance and troubleshooting of solar forecasting code base, MySQL databases, docker containers, GIT, and PBSpro
· Supporting, developing, maintenance and bug fixing of inbound and outbound data streams
· Further develop the solar forecasting model.
· Implementing advanced logging and real-time monitoring tools for the forecasting system
· Maintenance and administration of existing and new physical servers
· Supporting any other IT and server related issues that might arise
· Supporting (or eager to learn) the development of new technologies including but not limited to spatial data analysis, satellite image processing, advanced machine-learning algorithms for forecasting, post-processing to further improve forecast accuracy.
· Supporting the development of additional tools to improve SERIS’ offering and product portfolio.
· Supporting cloud integration of solar forecasting model.
· Supporting the future of the Digitisation of Energy’s strategic goals for solar forecasting in the region.

Requirements

· Bachelor degree for research engineer position in Engineering, Computer Science, IT, Systems Analysis, a Quantitative field, or other related field.
· Master degree in Engineering, Computer Science, IT, Systems Analysis, a Quantitative field, or other related field is required for research associate position.
· Intermediate/advanced Python knowledge
o Experience in writing Python scripts
o Experience in debugging and troubleshooting in Python.
o Experienced with the data science Python packages, e.g., Pandas, Numpy, SciKit-Learn, Xarray, Matplotlib
· Intermediate/advanced Redhat/CentOS Linux Experience preferred, RHCSA preferred. RHCE is a plus.
· Experience in writing and troubleshooting OS Level Scripts and OS Level Commands.
· Experienced with MySQL for Database management as well as writing queries.
· Experience with GIT, version control and CI/CD.
· Experience with PBSPro (preferred) or eager to learn.
· Experience with Docker containers and their maintenance.
· Experience with software technical support, troubleshooting and debugging is preferred.
· Experience with basic networking is preferred.
· Experience with production-level coding, API design and implementation, and AWS experience.
· Eager to learn machine-learning, regression, image processing (experience is preferred).
· Ability to work independently with a strong sense of initiative.
· Highly motivated, self-starter and well organized.
· Willing to do on-site support for clients.

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

CARES is a partner in the Pharma Innovation Programme Singapore (PIPS). The core partners of PIPS are: The Agency for Science, Technology and Research (A*Star), The National University of Singapore (NUS), the Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and pharma companies GlaxoSmithKline (GSK), MSD International GmbH (Singapore branch), Pfizer Asia Pacific, as well as Syngenta.

Within PIPS, CARES is leading a project “From Digital Twins to Real Time AI-supported Plant Operation”, which aims to develop an ontological representation of physical process models relevant to manufacture of pharmaceuticals, and link these models with a Knowledge Graph. This is a large project involving close collaboration of the groups of Profs. Alexei LAPKIN and Markus KRAFT in CARES and the group of Dr Lianlian JIANG in I2R A*STAR. This specific advertisement is for a position within the group of Prof. LAPKIN.

Who are we looking for?

We are looking to fill one vacancy of a Research Fellow with experience in process modelling and process development, preferably within fine chemistry/pharmaceuticals sectors. We are seeking a candidate with experience in developing chemical process models and in simulation. Specifically, experience in modelling processes related to manufacture of pharmaceuticals, such as multiphase batch and continuous synthetic chemistry reactions, crystallization, tableting, etc, using tools such as Matlab, gPROMS, Aspen Custom Modeller, or similar. An ideal candidate would also have prior lab experience in process development in fine chemistry, for example, development of a specific multi-phase chemical reaction (working with reactor systems, analytical instruments, control equipment, etc).

What skills do you have?

Working with process modelling environments such as gPROMS, Matlab, Aspen Custom Modeller or similar. Development of first principle models. Excellent knowledge of process modelling background and theory, such as unit operations, mass & heat transfer models, chemical reactor design, separation processes. Ideally, knowledge of OntoCAPE and process ontologies. Knowledge of Python and at least a basic knowledge of standard machine learning methods (classification, regression, BO).

When is position available and for how long?

The position is available immediately initially as a fixed-term 1 year contract with the end-date of 30 June 2025. The position will be offered subject to probationary period of three months.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A comprehensive medical insurance cover as part of your employment.

Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

To apply, please send your CV and cover letter (summarising the most relevant skills and experience that you have for the position) to https://talent.sage.hr/jobs/6a44bfd4-946f-4d1b-879e-31037e656488.

Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin (aal35@cam.ac.uk).

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 looking for Research Fellows who have experience in realizing two-dimensional (2D) memtransistor / memristor devices and its integration with active selectors for ultralow power electronics applications.

The candidate is expected to:
• Develop device designs, fabrication, and extensive characterization of advanced memory/transistors integrated with two-dimensional transition metal dichalcogenides (2D-TMD).
• Report experimental results to the Principal Investigator
• Publish papers in reputable journals/conferences
• Assist in preparing progress reports and research proposals

Qualifications

• Possess a recognized PhD degree in Electrical/ Electronic, Physics or Materials Engineering
• He/she should ideally have a proven track record of publications in leading journals.
• Strong written and oral communication and presentation skills.
• Relevant experience in the field of CMOS nano-electronic devices and nano-fabrication technology would be an added advantage.
• Possess excellent communication and interpersonal skills to work with various stakeholders.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• 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 Mechanobiology Institute, Singapore is a multidisciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through quantitative biophysical approaches, we address major problems in biomedical sciences including pathogenesis (from bacterial to cancer), tissue regeneration, and function.

The Mechanobiology Institute is seeking to recruit a Research Assistant to work with MBI Fellow Dr. Tee Yee Han on a multi-scale investigation, from molecules to cells to tissue, of the mechanism underlying the emergence of left-right asymmetry in life forms. This question is central to development and has unexplored applications. This is an excellent entry-level job for candidates interested in pursuing postgraduate studies and/ or developing experimental skillsets in cellular imaging, micropatterning and image analysis. The successful candidate will work closely with Dr. Tee to design and execute experiments, and help to develop an image analysis toolkit.

Specifically, the candidates responsibilities will include:

• Performing cell culture assays: transfections, knockdown, immunofluorescence staining
• Microfabrication and micropatterning
• Microscopy: confocal, live-cell imaging and super-resolution microscopy
• Image analysis
• Assisting in laboratory administrative tasks including procurement, reporting and laboratory safety

Qualifications

• A Bachelor’s degree in life sciences, bioinformatics, computational biology or related disciplines
• Fresh graduates are welcome; especially those with the intention of pursuing graduate studies in future

Preferable Qualifications/ Experiences

• Experience with deep-learning based image analysis and programming languages such as Python and MATLAB.
• Experience with RNAseq analysis
• Highly motivated and willing to learn

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 Building Informatics and Automation Lab at the National University of Singapore (NUS) is currently seeking candidates for Research Assistant (RA) positions. We’re dedicated to research and develop digital methods based on robotics, advanced 3D modelling, and computational optimisation for the built environment. Our current effort involves integrating robotic scanning and scan-to-BIM techniques for automated data capture and 3D digital modelling of buildings and infrastructures, along with computational optimisation for generative (re)design to refine decision-making in new construction. Our research interests include, but not limited to:

• Building/construction informatics and automation
• Robotic Scanning
• Scan-to-BIM
• Computational Optimisation

The appointed candidates will support the planning and execution of research projects alongside postdoc associate, PhD students, and RAs within the research group and the Centre for 5G Digital Building Technology. This includes conducting research, analysing results, preparing reports and papers.

Job Requirements

• A Bachelor’s or Master’s degree with relevant background and knowledge in civil engineering, mechanical engineering, computer engineering, or a related discipline. Candidates should demonstrate knowledge and expertise in the aforementioned areas, with a proven track record of peer-reviewed publications.
• Proficiency with LiDAR or computer vision, including open-source frameworks and algorithms for 3D scene reconstruction.
• Experience in Python programming (At least one year of experience in Python programming would be preferred) and familiarity with the LINUX platform.
• Experience in machine learning, deep learning, and data analytics will be beneficial.
• Proficiency in written and spoken English is required.
• Willing to learn and responsible

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 successful candidate will work with Dr Michael Choi on sum-of-squares method under a project on Markov chains and their applications.

The main responsibilities of the position include:

• Assist the PI in conducting literature review on sum-of-squares method, information theory and Markov chains
• Assist the PI in drafting research papers on Markov chains
• Assist the PI in Markov chains simulation

Qualifications

• Qualifications / Discipline: Bachelor degree in Mathematics, Statistics, Computer Science or related fields

• Skills: Knowledge on Markov chains, stochastic algorithms, information theory and sum-of-squares method.

• Experience: 0-1 year.

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

Controlling neuronal activity with light is an important method for the analysis of neuronal circuits. The Ministry of Education has funded a five-year project to develop and use optogenetic tools. This exciting project aims to conduct optogenetic experiments in Drosophila, looking at the circuit function of neuromodulatory cells. The Claridge-Chang Lab at Duke-NUS Medical School (https://www.claridgechang.net/) is seeking to appoint a Research Fellow with a strong background in neuroscience, to join this project. We would be especially interested in scientists with experience in optogenetics, fly genetics, light microscopy, brain imaging, neuronal circuit mapping, molecular cloning, electrophysiology, and/or cell culture.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a re-search project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist in writing the draft of research papers and review articles.
• Assist to provide guidance and support to other researchers, as well as under-graduate and graduate students.
• Assist with housekeeping of the laboratory area, general maintenance tasks and animal stock maintenance.
• Maintain safety protocols, order/prepare common reagents and maintain laboratory inventory.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Neuroscience (or other related fields with a keen interest in neuroscience).
• Possess laboratory experimental skills including the relevant skill sets to perform the following techniques - behavior analysis, Drosophila experiments, imaging, cell culture, electrophysiology, molecular biology (sub-cloning methods including restriction digests, PCR and gel electrophoresis).
• Possess skills in microscopy such as laser confocal microscopy, image analysis (e.g. ImageJ/FIJI).
• Have skills in biological data analysis such as Python, R or similar analysis methods.
• Prior experience in scientific sourcing & procurement would be advantageous.
• Proven knowledge, skills and abilities with excellent written and oral communication skills.
• A self-motivated individual who is able to work independently, prioritise, multi-task and work collaboratively in a research environment of diverse work-force.

We regret 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

The Building Informatics and Automation Lab at the National University of Singapore (NUS) is currently seeking candidates for Research Assistant (RA) positions. We’re dedicated to research and develop digital methods based on robotics, advanced 3D modelling, and computational optimisation for the built environment. Our current effort involves integrating robotic scanning and scan-to-BIM techniques for automated data capture and 3D digital modelling of buildings and infrastructures, along with computational optimisation for generative (re)design to refine decision-making in new construction. Our research interests include, but not limited to:

• Building/construction informatics and automation
• Robotic Scanning
• Scan-to-BIM
• Computational Optimisation

The appointed candidates will support the planning and execution of research projects alongside postdoc associate, PhD students, and RAs within the research group and the Centre for 5G Digital Building Technology. This includes conducting research, analysing results, preparing reports and papers.

Job Requirements

• A Bachelor’s or Master’s degree with relevant background and knowledge in civil engineering, mechanical engineering, computer engineering, or a related discipline. Candidates should demonstrate knowledge and expertise in the aforementioned areas, with a proven track record of peer-reviewed publications.
• Proficiency with LiDAR or computer vision, including open-source frameworks and algorithms for 3D scene reconstruction.
• Experience in Python programming (At least one year of experience in Python programming would be preferred) and familiarity with the LINUX platform.
• Experience in machine learning, deep learning, and data analytics will be beneficial.
• Proficiency in written and spoken English is required.
• Willing to learn and responsible

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 National University of Singapore invites applications for Research Assistant role funded by Department of Obstetrics and Gynaecology in Yong Loo Lin School of Medicine, Department of Medicine.

The Department of Obstetrics and Gynaecology is dedicated to providing excellent and affordable care to patients. This mission is driven tirelessly by a staff united by a common identity – to support patient care through best-in-class medical practices informed by insights from cutting-edge clinical and translational research.

Further information about the Department, its staff, and its areas of clinical and research expertise may be found via the department’s website: https://medicine.nus.edu.sg/obgyn/index.html

Appointments will be made on a yearly contract basis with the possibility of extension.

Purpose of the Post

We are seeking for a passionate, detail-oriented Research Assistant to aid our projects by participating in screening and recruitment of potential patients/healthy volunteers. You will be responsible for overall conduct of clinical research studies of the Principal Investigator (PI).

You will also work with the PI’s team to ensure that smooth and efficient day-to-day operation of research and clinical services. Ultimately, you will be responsible for managing multiple tasks (research-related and administrative-related), but understand when one is more important than another to complete it on time.

Qualifications

• A minimum of Bachelor of Science degree in the related field
• Clinical experience and exposure to clinical settings is advantageous
• Excellent administrative skills
• Strong command of written and spoken English
• Knowledge of research methods (is advantageous)
• Ability to work under pressure and work independently
• Excellent time management skills

Main duties and responsibilities

• Assist Principal Investigator in research and administration
• Subject recruitment
• Documentation maintenance
• DSRB/HSA submission reports
• Research conduct and coordination
• Maintain quality standards to preserve the integrity of data and findings
• Assist other Principal Investigators in the Department
• Preparation and presentation of research data slides

Other responsibilities:

• Participate and assist on Administrative and Ad Hoc duties in the Department

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 National University of Singapore invites applications for Research Assistant/ Associate in the Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine. The Centre for Behavioural and Implementation Science Interventions (BISI) is a research and education centre that aims to improve the health and well-being of the population by accelerating evidence-based practice through the use of behavioural and implementation sciences.

Appointments will be made on one year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant/ Associate will be responsible to, and work closely with, the Principal Investigator (Professor Ayelet Gneezy) and study team members to ensure the successful execution of PI’s research agenda. The RA’s principal role will be to assist the PI in managing their research projects, perform research operations and administration duties and carry out various tasks such as recruitment, literature review, data collection, data entry and analysis.

Main Duties and Responsibilities

The Research Assistant / Associate will liaise with the relevant personnel in the healthcare system and university to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Assist the PI in managing and delivering their research projects;
2. Work with senior members of the team to undertake the day to day running of the PI’s research projects;
3. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
5. Assist PI in developing conference presentations and publications on the ongoing research work.
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelors or Masters degree in related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experience in the areas of behavioural sciences (e.g., consumer behaviour, beavioural economics, and JDM);

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Mr Tong Shao Chuen at sctong@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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 developing innovative RF and microwave systems for communication and remote sensing using RF and microwave components and system-on-chip (RFSoC).

As part of this project, we have a position open for a research engineer who has in-depth knowledge and experience with RFSoC, such as the Xilinx family of RFsoCs.

You will work in a team that designs and tests RF and microwave subsystems.

The following must be included in your resume:
• A summary of RFSoC projects that you were involved in.
• A list of the RFSoC design tools you have experience with.
• A list of programming languages you have experience with.

Qualifications

• Possess a Bachelor or Master degree in engineering
• Several years of experience with radio frequency system-on-chip (RFsoC) or similar technologies.
• Able to work independently and in a team.
• Available for travel for conferences, trainings, and meetings with companies.
• Open to fixed-term contract.