The University of Turku is a world-class multidisciplinary research university which offers interesting challenges and a unique vantage point to national and international research and education.
Call for 3-5 trainees/research assistants – FitOptiVis project
Department of Computing, Summer 2021
Job description
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FitOptiVis project has three to five (3-5) open trainee/research assistant positions as part of ongoing research cyber-physical systems and highly efficient image and video processing systems. Particularly, two trainees will participate in research on modelling our IP blocks using the common modelling language (QRML) developed within the EU wide project, two will focus on AI techniques applied to sensor data, and one will build a visualization for our IC measurement system. For all jobs, basic programming skills are needed. For the modelling tasks knowledge of well-known modelling languages (like UML) is an asset. For AI tasks knowledge on machine learning methods and/or sensor fusion are assets. The visualization task would benefit from experience in handling measurement data and visualization of graphs.
As a summer trainee/research assistant, you will be working under the guidance of the group members. The position and exact work duties will be tailored according to the background and interests of the applicant, as well as the needs of the project during the summertime.
Duration: 3 months
Suggested time period: 1.6.—30.9.2021
Note: the starting date and duration can be adjusted to meet the preferences of the applicant. The duration of the positions may possibly continue longer.
Who can apply to the positions?
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Those who want to learn about computing algorithms used in computer vision, cryptography or modelling of such systems and monitoring their performance. Since most of the hardware implementation has already been done by the project team, the jobs are suitable also for less experienced persons who are willing to learn and look for solutions to problems from new perspectives. Therefore, basic skills in programming and AI are sufficient for these tasks – an innovative mind is the most important asset. Good working knowledge of English is required, as all of the documentation is in English.
All students at the University of Turku and other universities can apply for these positions.
Details on the open positions
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(1) Modelling Internships (1-2 positions)
The task is to develop a models of our IP blocks using QRML language. The language has been developed in the project by our European partners, and now it will be applied to model our hardware blocks. Examples of the language, as well as support will be available. Blocks include convolutional accelerators, cryptography cores and low power management blocks (DVFS). If time permits, the modelling will be extended to cover a full system, possibly integrating results from the other trainees. Please contact Tero Säntti (teansa@utu.fi) for more information.
Deliverables: Models of the blocks, reports on the properties of the language, if any room for improvement is found.
(2) AI and sensor fusion Internships (1-2 positions)
The work concerns AI on sensor fusion data. In practice, various types of sensor data (accelerometer, biopotentials, etc.) will measured and sensor accuracy improvement will be investigated by applying AI algorithm to the data. The student should be familiar with implementing AI algorithms (PyTorch, TensorFlow), simple electronic measurement techniques, and programming in Python. Courses such as DTEK8086 Sensors and Interfaces and DTEK0065 Programming Lab Course (or equivalent skills) should be completed. Please contact Tero Säntti (teansa@utu.fi) and Lauri Koskinen (lauri.koskinen@utu.fi) for more information.
Deliverables: AI prototype implementation, suggestions and recommendations for improvement of the prototype.
(3) Visualization Internship (1 position)
The task is to visualize the dataflows from our IC measurement system, and include control functions. Visualizations will be implemented using FIVIS, a visualization tool developed by our European partners. Reference design is available, using LabView as the platform. If time permits, the visualization will be extended to cover items from AI and sensor fusion team, and possibly even to the satellite instrument prototypes developed in FORESAIL project. Please contact Tero Säntti (teansa@utu.fi) for more information.
Deliverables: Visualization framework for the IC measurement system. Reports on the properties of the FIVIS framework, if any room for improvement is found.
Salary and how to apply
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All students at the University of Turku and other universities can apply for these positions.
Salary for a trainee is 1300 euros/month and for a research assistant 2000 euros/month.
Applications must be submitted at the latest on Monday 24.5.2021 (23:59) using the electronic application form of the University of Turku on the following address:
www.utu.fi/careers
The link to the application system is at the beginning of this announcement (“Apply for the job”).
Please include with your application a Curriculum Vitae, study transcript and motivation letter.
Please contact Tero Säntti (teansa@utu.fi) for more information.
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