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]

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.