Research Assistant (Robotics and Machine Learning Engineer) - NCRA Agriculture Robotics Lab - Centre for Water Informatics & Technology

Job Description

Monday, November 30, 2020
Responsibilities: 

Position Purpose: 

The selected candidate will work with other team members doing research and development related to robotics and machine learning. His responsibility will mainly be sensor interfacing, coding machine learning algorithms using python and deploying them on the embedded and client/server architectures. His contribution as a team member will be problem analysis, solution research, software design and architecture, development, deployment and testing.

Main Responsibilities;

  • Profound understanding in key robotics areas like Motion Planning, Perception, Sensor Fusion, SLAM, Steering/Drive Control, Autonomous Control Systems.
  • High proficiency in Python and C++.
  • Demonstrable experience in Robotics Operating System(ROS)
  • Understanding of Networked Systems and Protocols (TCP/IP, UDP for ROS)
  • Experience with Unix systems preferably Ubuntu.
  • Solid understanding of deep learning and state of the art machine learning algorithms.
  • Aware of the best practices and procedures applied in designing and implementing deep learning based solutions.
  • Ability to design and execute on research agenda.
  • Results-driven and enjoy working closely with a team

Application Procedure:

For consideration, please send your CVs and relevant experience at hrwit@lums.edu.pk  copying Mr. Soban Hameed soban.hameed@lums.edu.pk  Shortlisted candidates will be contacted for an interview and any further process

Skills: 
  • Good understanding of Computer Vision, Machine Learning
  • Experience in open source software development and customization.
  • Experience in Raspberry Pi, Aurdino etc
  • Linux based OS (x86, x86-64, ARM) in desktop (command line), server and/or embedded systems.
  • Strong programming skills in Python, TensorFlow, and Keras, at least basic experience in C/C+
  • Prior experience in deep learning and machine learning would be preferred.
  • Good communication skills and tendency to work in a team.
Qualification: 
BS degree in Computer Science, Electrical Engineering, Mechatronics or another relevant field from a HEC recognized institution.
Knowledge: 
  • Demonstration of built robots is highly appreciable.

Travel:

  • often

Work Schedule:

  • Standard 40 Hours per week

Salary:

  • Rs.45,000 per month (initial 6 months contract, renewable up to 3 years)
Experience: 
At least 6 Months experience

Note: “We are an equal employment opportunity employer”