Fully funded PhD student positions are available at the Department of Signal Processing at Tampere University of Technology in Finland.
We are a growing research group working broadly in the field of computer vision. We are pursuing research problems in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and 3D scene reconstruction), in semantic computer vision (including topics such as image based localization, object detection and recognition, and deep learning), and robot vision (including topics such as human robot interaction). We are looking for new PhD candidates to our group. Students with good programming skills and strong background in mathematics are especially encouraged to apply. Previous research experience and publications are beneficial but not required. The starting date is negotiable.
The doctoral student will participate in developing deep learning systems for computer vision problems. In particular, we are interested in following topics: 1) developing an universal representation model that is able to address multiple visual recognition tasks simultaneously, 2) developing deep learning models able to learn from several information sources to understand natural 3D visual environments similar to those encountered by humans, and 3) deep learning based image generation and editing approaches. The specific research topics will be chosen together with the students to match their personal interests. The main supervisor of the work will be Prof. Esa Rahtu.
An ideal candidate should have a Master's degree in computer science, signal processing, electrical engineering, physics, mathematics, or equivalent. Also those who are expected to finish their Master's degree by spring 2018 may apply. Candidates are expected to have skill and achievements such as:
The starting salary is 2305,57 - 2424,72 EUR per month and it will increase during the studies depending on the progress (up to 3472,86 EUR per month). In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system.
If you are interested in joining our group, please submit your complete application via email to Prof. Esa Rahtu (esa.rahtu 'at' tut.fi) prefixing the email subject with the string
[PhD Position] .
Applications should include the following (combined into one pdf):
The review of applications will be done on a rolling basis, so early submissions are strongly encouraged. For all queries contact Prof. Esa Rahtu