The doctoral project will focus on research aiming to increase the automation level of current hydraulic mine breaker systems by introducing a remote multimodal shared control user interface for a single operator to operate multiple breaker booms. Shared control methods utilizing both 3D laser scanned scene construction and computer generated (augmented reality (AR) and virtual reality (VR)) 3D models for enhanced operator experience are investigated to support remote multi boom operator situation awareness and decision making. The overall tasks of the Doctoral Student will comprise control theoretic framework development, designing of the full-scale breaker boom experiments (available at TUT), model-based control designs, measurements in real-time control set-ups, and dissemination of the results in scientific peer-reviewed journals, international conferences and doctoral network events.
The work will be supervised by Professor Jouni Mattila and Product manager Samppa Varhomaa, Rambooms Oy.
The Doctoral Student candidate must hold an applicable higher university degree in Automation or Digital Signal Processing with experience on robotics and hydraulics. Knowledge on model-based development, real-time control, modelling, simulation and sensor fusion, for example for ROS, is an advance.
The Doctoral Student candidate must have an enquiring mind, enjoy problem-solving and be able to think independently while also being able to work in a team. A good command of English, both in writing and in oral presentations, is mandatory.
The tasks of all doctoral students will also include teaching duties that amount to approximately 5% of their annual working hours, unless there are justified reasons to the contrary.
|Salary:||The salary will be based on both the job demands and the employee's personal performance in accordance with the University Salary System. According to the criteria applied to teaching and research staff the position of a Doctoral Student is placed on the job demands levels 1-4. In addition, employees receive performance based salary.|
|Trial period:||Trial period of four (4) months applies.|
|Other:||The position will be filled now for a fixed-term period of four (4) years. Appointment is expected to commence on 1 January 2018 or as mutually agreed.|
|For more information, please contact:||For further information, please contact Prof. Jouni Mattila (Jouni.firstname.lastname@example.org)|
|How to apply:||
Applications must be submitted by TUT online application form. The closing date for applications is 5 November 2017 (23:59 EEST (GMT+3)). Applications and all accompanying documentation must be in English.
The application should include a letter of motivation (max. one A4 page), CV, publication list, a letter of recommendation and transcript of record (master's degree studies).
Additional information on attachments to applications.