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POST-DOC POSITIONS

IN MACHINE LEARNING, IoT & GESTURAL INTERACTION

in collaboration with Arçelik Electronics

POSITION 3 / POST-DOC SOFTWARE ENGINEER (051218-03)

Requirements:

  • • PhD degree in Computer Science, Computer Engineering, Electrical and Electronics Engineering or any related field.
  • • Expertise and practical experience in supervised machine learning. This includes knowledge about ML libraries such as TensorFlow, scikit-learn, Keras etc.
  • • Advanced programming abilities in C/C++, Python, R or Matlab knowledge is a bonus.
  • • Advanced written and oral communication skills in English.
  • • Ability to work in an interdisciplinary team and industry collaborators.

Nice to haves:

  • • Strong mathematical skills about linear algebra, probability and statistics and optimization.
  • • Experience with reinforcement learning and unsupervised learning.
  • • Experience with user testing and interaction design.
  • • IoT and general network knowledge.
  • • Knowledge about dealing with big data (E.g. databases, preprocessing techniques, distributed and cloud computing)
  • • Basic level electronics and embedded systems knowledge.

Please send your full CV to kuar@ku.edu.tr with the subject “post-doc software engineering application for 051218-03” including the list of experiences.

POSITION 4 / POST-DOC HARDWARE ENGINEER (051218-04)

  • • PhD degree in Computer Science, Computer Engineering, Electrical and Electronics Engineering or any related field.
  • • Advanced working knowledge of sensors, embedded systems design and hardware prototyping, wireless systems and communications for internet of things.
  • • Advanced programming abilities in C/C++, Python, Java, R or Matlab.
  • • Working knowledge of sensor data processing (digital signal processing/machine learning)
  • • Fluency in written and oral communication in English.
  • • Ability to work in an interdisciplinary team and industry collaborators.

Nice to haves:

  • • Experience with machine learning algorithms such as time-series analysis, neural networks, classification algorithms, support vector machines, reinforcement/unsupervised/supervised learning methods.
  • • Experience with user testing.
  • • Knowledge about dealing with big data (E.g. databases, preprocessing techniques, distributed and cloud computing)

Please send your full CV to kuar@ku.edu.tr with the subject “post-doc hardware engineering application for 051218-04” including the list of experiences.

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