Computer Engineers İş İlanı

İşveren Hakkında

QUALIFICATIONS AND JOB DESCRIPTION

We are looking for Computer Engineers researchers to work on a project carried out at İstanbul Bilgi University.


QUALIFICATIONS

Our research is primarily focused on developing an imaging system (both hardware and software) to detect health related body movements in real-time.


  • Bachelor’s degree in Computer Engineering or related field,
  • Strong development skills, with proficiency in Python,
  • In-depth understanding of machine learning fundamentals and libraries libraries like PyTorch, TensorFlow, Numpy, Pandas, Gensim etc.
  • Reading, understanding, and implementing scientific articles describing various ML/AI approaches applicable for our purposes,
  • Develop state-of-the-art algorithms in one or all the following areas: deep learning, segmentation, object detection, image processing, activity recognition, anomaly detection, etc.
  • Be familiar with infrared technologies, computer vision and image processing algorithms,
  • Experience with REST API development, NoSQL design, RDBMS design and optimizations,
  • Strong project/team management capabilities.


RESPONSIBILITIES

  • Design and implement an embedded system together with optical imaging devices,
  • Examine quantitatively the system quality and capability,
  • Direct or coordinate manufacturing, installation, maintenance, support, and documentation to ensure compliance with specifications, maintaining project scopes, schedules, and budgets at all times,
  • Prepare comprehensive documentation for all designs, including diagrams/schematics, bill of materials, assembly drawings, and design changes, test reports, design-validation plan, and reports to ensure that installation and operations conform to standards and requirements.


OBJECTIVES

  • Creating an image data set by recording body movements,
  • Labeling body movements using predefined constraints,
  • Training different Convolutional Neural Networks (VGG, R-CNN, fast R-CNN, faster R-CNN etc.) and YOLO (real-time object detection) training on high performance computers and comparison of relevant models,
  • Implementing a miniaturized imaging system which can monitor handwashing process in real-time,
  • Testing and reporting the system within the scope of technology level in real environment.