We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references.

Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

The Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design is seeking a full-time Research Fellow or Research Associate, to join a growing research team dedicated to understanding human behavior in cities.

Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles critical questions about how cities shape people’s behaviors and, in turn, how cities should be designed to better serve their inhabitants.

Candidates should possess a strong interest in applying a human lens to transdisciplinary and collaborative research. Expertise in quantitative research methods and a background in social and/or behavioral science will be a plus.

This position is ideal for individuals interested in pursuing an academically grounded, applied research career.

The candidate will be expected to:

• Conduct and write literature reviews
• Participate in fieldwork and data collection
• Conduct quantitative and/or qualitative data analyses
• Contribute towards research conceptualization and methodology
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Obtained or expected Masters degree (for Research Associate) or PhD degree (for Research Fellow) related to the social sciences or behavioural sciences (e.g., Psychology, Behavioral Economics, Urban Studies, or related disciplines)
• Demonstrable skills in quantitative and/or qualitative data collection and analysis
• Excellent written and verbal communication skills
• Strong organizational and data management skills
• Proficiency with statistical software (e.g., R, STATA, SPSS, MPlus) is a plus
• Familiarity with Augmented Reality, Virtual Reality and/or neuroscience (e.g., fNIRS) research is a plus

How to apply:

Interested applicants are encouraged to send their application with the subject heading – Research Fellow/Associate (Urban Psychology Lab) to [email protected] with the following:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae
• Two writing samples of publication or research work
• Three referees who may be contacted for a reference

Enquiries about the position can be addressed to either Samuel Chng ([email protected] ) or Sarah Chan ([email protected])

Appointment(s) will be initially made on contract basis for up to two years, renewable subject to good performance and mutual agreement.

We regret that only shortlisted candidates will be notified. Review of applications will commence from October 2024 on a rolling basis. Applications will be considered until the posts are filled.

Job Responsibilities

• Plan for quality assurance activities with timelines and effort estimates and manage resources to support testing demand.
• Discuss and work with System Analysts & development teams and SMBC to understand the testing requirements to determine testing coverage and collect sample test data (if available).
• Review documentations created by QA Team Lead, Senior System Analyst and/or vendor to ensure quality.
• Track testing activities against test plans and track defects (Log Defect with assigned Severity, Retest and Close Defect) discovered to resolution. Report statistics and statuses to PM.
• Provide guidance and mentorship to the team and ensure process and compliance is met. Provide direction, support and set performance goals to the team.
• Timely escalate issues to manager.
• Support on hiring matters such as interviews where required.
• Onboard new joiners to their roles.
• Coach and guide team members on their jobs.
• Manage and motivate team performance, guided by performance management framework.
• Engage team members to identify and support them on their career aspirations and development plans.

Job Requirements

• Diploma/ bachelor’s degree in computer science.
• Min. 10 years' experiencing working as Quality Assurance Analyst/ Tester in a bank, FI or a consultancy company.
• Familiar with defect management tools.
• Ability to understand technical jargons and some understanding of technology environment setup.
• Possess strong planning skill and is positive and proactive in his/her approach.
• Excellent communication, interpersonal and presentation skills.

The Role

The candidate will play an important role as Technical SME in the development team to support the digitization projects using BPM / Workflow system. The candidate is expected to be involved in all technical aspects of project delivery and/or maintenance from assessing requirements, assessing technical solutions, developing solutions, testing to system implementation. The candidate is also expected to work collaboratively with cross-functional teams to deliver high-quality solutions.

Job Responsibilities

• Analyse, design, develop, customize, implement, and maintain the assigned systems.
• Work closely with Team Leader to gather requirements from the customer, perform technical impact analysis and estimate effort for development.
• Prepare and/or update and review technical documents.
• Manage offshore development teams to ensure technical standards and quality are met.
• Perform code review to detect any potential coding problems.
• Perform unit test and system integration test, support user acceptance test.
• Prepare release procedure and support production implementation.
• Troubleshoot issues and problems to provide workarounds.
• Perform root cause analysis and come up with preventive measures.
• All other duties and tasks as assigned.

Job Requirements

• Bachelor’s degree in computer science or information technology with min. 5 years' experience in software development using Java technologies (J2EE, Spring Framework) and front-end technologies (JavaScript/Angular/AngularJS), preferably in a bank or financial institution.
• Experience in working with offshore team is an added advantage.
• Hands-on experience in deploying, and maintaining, cloud-native Java applications on Microsoft Azure is an added advantage.
• Hands-on experience in Newgen BPM system preferred.
• Good knowledge in SDLC methodologies (Waterfall and/or Agile).
• Good presentation, communication, and coordination skills.
• Proactive and self-motivated.
• Ability to contribute individually and collaborate well in a team.
• Strong sense of accountability and ownership.

We are looking for one (1) Research Fellow for research activities in the following areas:

1. Theory and computational modeling of electromagnetism in media, plasmonic systems, and metamaterials, including cavity quantum electrodynamics.
2. Inverse design in nanophotonics or quantum nanophotonics.
3. Application of plasma modeling tools like particle-in-cell and magnetohydrodynamics to plasmonic or excitonic systems.
4. Study novel optoelectronic effects in low-dimensional materials and time crystals.

The applicants should have a Master's degree (for the Senior Research Assistant position) or a Ph.D. degree (for the Research Fellow position) in Physics, Applied Physics, Engineering, or Applied Mathematics. Preference will be given to those with a strong publication record, open-minded, independent, and able to collaborate with other team members and experimental partners. Ph.D. students (graduating within 6 months) with relevant expertise are also encouraged to apply. Senior Research Assistants are expected to pursue Ph.D. degrees upon completing the contract if deemed suitable.

Technical requirements:

1. Ability to formulate physical models and solve the formulated equations analytically or numerically.
2. Strong foundation in numerical simulation, including developing and modifying existing codes to include multiple physics.
3. Solid foundation in electromagnetism, quantum mechanics, solid-state physics, material sciences, and computational methods like finite-difference-time-domain, finite-element, particle-in-cell, etc.

Research Scientist for Research on Wireless Power Transfer

The hired Research Scientist will work on the research of wireless power transfer (WPT) in the Biomedical EM Lab at Singapore University of Technology and Design (http://people.sutd.edu.sg/~huangshaoying/). The contract is 1 year (renewable) for research assistants.

Project Description

The project is to investigate the electromagnetic mechanisms for a compact, efficient, and wideband antenna/radiator suitable for wireless energy harvesting (WEH)/WPT. This exploration will span both conductive and magnetoelectric (ME) antennas. Our study will consider WIFI, power from base stations, and WPT as potential power sources.

Job Scopes:

• Literature review of the research domain
• Investigations on the electromagnetic mechanisms for a compact, efficient, and wideband antenna/radiator suitable for WEH/WPT
• Designs of small antennas/radiators for WEH/WPT
• Antenna/radiator fabrications and testing
• Paper writing and documentations

Your profile

We are looking for a researcher with the following expertise and skills,

• A PhD in electrical engineering, physics, or related field
• Knowledge on EM theories microwave engineering, especially antenna theories and transmission line theories
• A background on EM modeling and simulation software (e.g., CST)
• Research or design experience on WEH/WPT and/or antenna designs
• Testing and characterization of RF/microwave devices or components
• Python/Matlab coding
• Good track record of the capacity to drive first author publications
• Good communication skills and interpersonal skills
• A good team player

For interested candidates

Interested candidate please send your CV to Huang Shaoying at [email protected]

As an AI research engineer, the candidate will work on an automatic disassembly for EoL waste management. The candidate will assist in:

• Research and evaluate state-of-the-art open and closed-source LLM models and Retrieval-Augmented Generation (RAG) techniques
• Process unstructured technical documents from automotive and EV products to extract relevant text and images using multi-modal LLM
• Assist in developing and refining LLM and RAG models to improve performance, accuracy, and efficiency.
• Collaborate with the team to integrate AI models into broader systems or applications, considering scalability and deployment strategies.
• Document findings, methodologies, and outcomes, contributing to internal reports and potentially patent applications.
• Engage in team meetings and contribute to brainstorming sessions aimed at driving project success.

As a robotics research engineer, the candidate will work on developing a new testbed towards automation autonomous disassembly process in e-waste management. The candidate will assist in:

• Development of the testbed to integrate sensors, robots, conveyor belts, workbench, controllers, etc.
• Programing and integrating industrial robots to perform tasks such as pick-n-drop and execution of disassembly action.
• Development and maintenance of prototype applications based on controllers such as Raspberry Pi and Arduino
• Improving trajectory planning algorithms to ensure high throughput of operations such as pick-n-drop
• Developing automated robot trajectory planning for robotic 3D scanning and disassembly, and automated generation and execution of disassembly actions.
• Closely communicate with other teams and presentation slides

Job Position: Research Engineer

Job Description

We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition algorithms to solve complex problems and improve project outcomes. You will work closely with a multidisciplinary team to develop, implement, and optimize ML models that are critical to the success of our projects.

• Design, develop, and deploy machine learning models and image recognition algorithms tailored to project-specific requirements.
• Collaborate with cross-functional teams to understand project needs, gather, and analyse requirements, and deliver ML-driven solutions.
• Conduct data collection, preprocessing, and augmentation to create training datasets.
• Implement and optimize image recognition models for accuracy, efficiency, and scalability.
• Evaluate model performance using appropriate metrics and make necessary adjustments to improve outcomes.
• Stay abreast of developments in machine learning and image recognition fields to incorporate cutting-edge technologies and methodologies into project solutions.
• Document model development processes, algorithms, and performance metrics.
• Provide technical guidance and mentorship to team members on machine learning and image recognition best practices.

Required/Desired Skills

• Experience in machine learning and image recognition, with a strong portfolio of project work that demonstrates expertise in these areas.
• Proficiency in programming languages such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Experience with deep learning architectures (CNNs, RNNs, GANs) specifically designed for image processing tasks.
• Analytical skills with the ability to solve complex problems independently and as part of a team.

Required/Desired Qualifications

• Bachelor’s or master’s degree in Electronics & computer science, Artificial Intelligence, or a related field.

Experiences

Minimum 3 years’ experience in machine learning and image recognition within a technology/research organisation. Fresh graduate with relevant knowledge and skills will be considered.