Open positions in computer vision and machine learning
We are seeking new members to our computer vision and machine learning research. We offer several positions ranging from 1 to 4 years on levels of:
The positions will offer excellent opportunities to work in a team of professionals responsible for developing cutting edge computer vision and machine learning technology, and allows you to learn many aspects from fundamental research problems to concrete applications.
The research residency enables software professionals to join an academic research team for a fixed time period and to extend their knowledge in the state-of-the-art computer vision and machine learning methods. The length of the residency period is agreed individually and varies from a few months to one year. For more information, click here.
We welcome applications with any research focus related to computer vision and machine learning. In addition, we are especially seeking candidates with the following research focus:
Ideal candidate has a strong programming and mathematics background. Experience in (or strong will to learn) programming with Python or C++/Java are considered as advantages. Previous experience on Android/iOS programming is also beneficial, particularly for the research engineer positions.
The research work at Aalto University will be supervised by Assistant Professors Juho Kannala and Arno Solin and it is part of a larger consortium between Aalto University, Tampere University and the University of Oulu. We work broadly in the fields of computer vision and machine learning. 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 statistical machine learning (Gaussian processes). More information of our research and open positions is available here.
Working and studying in Finland
Finland has been assessed to be among the best countries in the world with respect to many quality of life indicators, including being the overall #1 country in human wellbeing. Finland is among the leading countries in ICT & Digitalization, from 5G networks to financial technology, artificial intelligence and AR/VR innovations to IoT, digital education and health solutions. Finland’s booming gaming industry is led by companies like Supercell (Clash of Clans) and Rovio (Angry Birds). More information about studying and working in Finland can be obtained from the links.
The starting salary of a Doctoral Candidate is ca. 2400 EUR per month and it will increase during the studies depending on the progress. The salary for a postdoctoral researcher starts typically from 3500 EUR per month, and increases based on experience.
In addition to the salary, the contract includes occupational healthcare benefits, and Finland has a comprehensive social security system.
How to apply
The first stage of the application process is very light. There is no need for motivation letters or research statements. You only need send the following documents:
The deadline for the applications is June 26th, 2019. The review of applications will be done on a rolling basis, so early submissions are strongly encouraged. The starting date of the positions will be negotiated individually. Further information available here.
Further information about the project can be found from here and via email from the Assistant Professors Juho Kannala and Arno Solin, firstname.lastname@example.org.Continue reading
|Title||MSc thesis worker / Doctoral Candidate / Postdoctoral Researcher / Project Researcher (Computer Vision and Machine Learning), 2-4 positions|
|Job location||Lämpömiehenkuja 2, 02150 Espoo|
|Published||June 12, 2019|
|Application deadline||June 26, 2019|
|Job types||Postdoc,   Researcher,   Research assistant,   PhD  |
|Fields||Statistics,   Artificial Intelligence,   Programming Languages,   Computational Mathematics,   Game Design,   Machine Learning,   Machine Vision,   Computer Vision  |