The tasks of the Doctoral Student will comprise of design and implementation of computational systems, especially within the field of image and video analysis and machine learning in a mining environment.
The results will be disseminated in scientific peer-reviewed journals, international conferences and doctoral network events.
The work will be supervised by Associate Professor Heikki Huttunen and Jussi Puura (Sandvik Mining and Rock Technology).
The Doctoral Student candidate must hold an applicable higher university degree in computer science, signal processing, mathematics, statistics, or a related discipline.
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 Associate Professor Heikki Huttunen by email heikki.huttunen(at)tut.fi|
|How to apply:||
Applications must be submitted by TUT online application form. The closing date for applications is 22 October 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)
- publication list
- transcript of records master's degree studies
- a letter of recommendation
Additional information on attachments to applications.