Master’s Thesis Position: Development of control system software for a very low field MRI system

Aalto University


January 31, 2022


Master's Thesis Position: Development of control system software for a very low field MRI system

Department of Electrical Engineering and Automation, Electromagnetics in health technologies group, is looking for a Master thesis worker in the topic described below.

Description Magnetic resonance imaging (MRI) is one of the best ways of examining body tissue and obtaining information about injuries and illnesses. However, MRI scanners are typically large, heavy, and very expensive devices. In the accessible MRI (AMRI) project of Aalto University, a new type of MRI technology is developed, which enables lighter, cheaper, and more mobile solutions for future imaging applications. The first prototype device of the AMRI project is currently being built and testing of its subsystems has commenced. The prototype is a low-field MRI device which is based on permanent magnets. To acquire magnetic resonance images, particular settings of pulse sequences are used. These sequences include radio frequency pulses to excite nuclear spins and gradient field pulses for spatial information encoding.

In this MSc thesis, the tasks of the candidate are: 1) to develop and test a data acquisition system for MRI signals, based on NI PXI digital oscilloscopes and LabVIEW software, 2) to integrate the data acquisition system with the generation of waveforms for the RF excitation and gradient coils with a programmable arbitrary waveform generator (Zurich Instrument HDAWG) controlled with LabOne/LabVIEW software, 3) to develop an interface to control the imaging parameters and to transfer MRI algorithms from other software (e.g. MATLAB) to the system, 4) to design test sequences for the device, e.g., to measure magnetic field strength and to control and tune the biasing and shimming coils of the MRI device, and 5) to test the complete system with MRI sequences.

Qualifications ● Only students of Aalto University can apply ● We expect that the candidate has good LabVIEW and MATLAB skills ● Knowledge in MRI and electronic measurements are considered as advantages.

Schedule The earliest start date is the February 1, 2022, and the duration of the work is six months.

How to apply Please submit your application through our recruiting system and include the following documents in English in a single pdf document; cover letter, CV and transcript of study records. The deadline for applications is the January 31, 2022. Please note: Aalto University's employees and visitors should apply for the position via our internal system Workday - > find jobs (not external webpage of open positions) by using their existing Workday user account.

For more information, please contact Professor Ilkka Laakso ( or Dr Janne Holma (

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