PhD Student position in biomedical ultrasound

Organisation/Company AGH University of Krakow Department Department of Robotics and Mechatronics Research Field Engineering >
Biomedical engineering Engineering >
Mechanical engineering Engineering >
Electrical engineering Engineering >
Computer engineering Engineering >
Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Final date to receive applications 16 Aug 2026 - 00:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

We seek a creative, collaborative and motivated candidate with an interest in medical ultrasound research with a focus on ultrasound elastography techniques. The candidate identified for this fellowship will work on projects related to ultrasound imaging and ultrasound-based characterization of tissues using elastographic techniques. Our goal is to transform medical ultrasound diagnosis through work that spans hardware and algorithm development focused on image and data analysis.

The right candidate will have background in biomedical imaging with an understanding of ultrasound physics and signal and image processing.

Our laboratory has extensive experience in non-invasive ultrasound techniques used in both medical applications and mechanical structures. The Principal Investigator has extensive experience towards developing techniques that can be used in the evaluation of tissue mechanical properties for the purposes of disease diagnosis. Elastography methods are available on machines produced by every major ultrasound vendor, and these techniques are used worldwide for assessing various conditions.

The potential for impacting many patients is highly possible due to the widespread dissemination of ultrasound scanners.

A Research Fellow at AGH University is a temporary position intended to provide training and education in research. Individuals will train in the research program of an AGH University Principal Investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants.

The successful candidate will be appointed at the AGH University and will be expected to proactively develop research interests and to work effectively with others. Candidates who seek creative academic careers will have excellent growth opportunities, access to committed mentors, assistance with defining an early career trajectory, and mentored opportunities to apply for career development and research grants. Candidates will gain a deep understanding of key problems in medical imaging.

Across a wide range of projects, our laboratory has developed specific expertise in advanced signal processing and there will be opportunities to gain exposure to these techniques.

E-mail piotr.kijanka.pl

Research Field All Education Level Master Degree or equivalent

Skills/Qualifications

• The ideal candidate will have a Master Degree or equivalent in Electrical Engineering, Biomedical Engineering, Medical Physics, Acoustics, Applied Physics, Applied Mathematics, Computational Statistics, Computer Science, or a related discipline.
• Strong communication skills in written and verbal English are required.
• Proficiency in one or more programming language, especially MATLAB or Python is required.
• Knowledge of ultrasound wave propagation physics, signal processing, and experience with medical ultrasound instrumentation will be advantageous.
• Experience with signal and image analysis skills is desirable.
• Knowledge of FD, FE or other numerical methods will be a plus.
• A demonstrated record of high-quality publications in ultrasound related journals will be advantageous.
• Strong motivation to explore new techniques and concepts is required.
• We do team science with strong team member autonomy. Qualified candidates should be self-motivated and possess the ability to work both independently and collaboratively.

Languages ENGLISH Level Good

Eligibility criteria

Applicants, at the time of application, should send:

• a cover letter describing research experience, interests and goals;
• a CV with a full list of publications;
• at least one letter of recommendation, signed, on letterhead, describing: relationship to the applicant, past work/academic performance, work qualities/personal conduct, overall assessment of potential for success in research environment;
• Master’s degree certificate of equivalent, if applicable, original or notarized copy of diploma or final transcript issued by school (English translation required).