Research Assistant, Center for Industrial Automation, Robotics and Internet of Things (RIoT)

• Bachelor of Science (BSc) in Computer Science & Engineering

• Age 21 to 30 years

Track 1: Medical Imaging and ML:

• Strong background in traditional machine learning, deep learning, image processing and computer vision. 

• Hands on Experience in developing computer vision and machine learning solutions, including, but not limited to object detection, image segmentation, image classification, image reconstruction and motion tracking. 

• Familiarity with GAN, StyleGAN, CycleGAN or similar networks. 

• Familiarity with medical image analysis, Whole slide mage, Kaggle and GitHub. Statistical model building skills.

Track 2: IoT and Smart Systems with ML

• Strong background on hands on design and development of IoT systems using sensors, micro-controllers, communication modules.  

• Clear conception on architectural design of the IoT systems and able to covert a system requirement to an implementable system design. 

• Have strong knowledge on cloud-based system development.

• Strong knowledge of programming for writing applications as well as configuring controllers, implement communication protocols, and cloud software.

Track 3: Software Engineering & System Design: 

• Strong understanding of object-oriented programming principles.

• Strong knowledge in Programming Language (Python), related IDE, Frameworks, Libraires, Cross-platform integration and others. 

• Knowledge of relational databases and SQL. Familiarity with GUI frameworks such as pyq or tkinter. 

• Familiarity with front-end technologies such as HTML, CSS and Java Script Experience in project design and implementation.

Job Description

• The candidate will get the unique opportunity to be part of one of the best academic and research environments within the country together with uniquely facilitated research labs and mentorship from distinguished Professors. He / She through this position can acquire valuable research experience by participating in pragmatic national and international research projects and build the right foundation for future higher studies in world’s top ranked universities.

Job Responsibilities

Research and Publications

• Review state of the art methods

• Implement solutions that are publishable as research articles and product development.

• Work on a cross-functional team to build easy to understand solutions.

Tutorials / lab classes

• Conduct multiple tutorial sessions per week.

• Assess the performance of the students.

• Assist research supervisor in academic tasks

Working Hours and Benefits

• 5 days/week for academic research.

• On an average 8 hours / days. However, research work would be measured based on the output produced by the candidate.

• Opportunity to publish in top ranked journals and conferences with APC coverage.