Jobba med oss

Description:

A prosthetic limb is commonly controlled by interpreting myoelectric signals from the muscles left after amputation. Currently we use different deep learning approaches to predict which movement the prosthesis user is intending to execute to accomplish a task (check out this video of a patient using one of the current algorithms). A promising, yet unexplored, avenue to improve movement predictions is to consider the chronology of the acquired data, i.e. to consider the acquired data as a time series. In this project, you’d be implementing, testing, and comparing different time-series prediction algorithms with the aim to improve prosthetic control accuracy.

Required field of study:

Computer science and/or engineering

Required skills:

Experience in machine learning (specifically deep learning)

Matlab and/or Python

Project duration:

30 or 60 ECTS

Description:

You will learn about an applied area of prosthetic device use specific to the core technologies we produce at CBPR (restoring function due to sensorimotor impairments). This will be by performing a literature review followed up by developing and submitting a manuscript for publication. You will have to be self-motivated, an excellent communicator and demonstrate your writing ability. We offer writing support, advice, editing, as well as technological support in the area we are asking you to write.

Required field of study:

Any

Required skills:

Writing in English language to a high level

Project duration:

60 ECTS

Description:

You will learn about an applied area of prosthetic device use specific to the core technologies we produce at CBPR (restoring function due to sensorimotor impairments). This will be by performing a literature review followed up by developing and submitting a manuscript for publication. You will have to be self-motivated, an excellent communicator and demonstrate your writing ability. We offer writing support, advice, editing, as well as technological support in the area we are asking you to write.

Required field of study:

Any

Required skills:

Writing in English language to a high level

Project duration:

60 ECTS

Description:

This project builds on previous work and entails the development of prosthetic devices incorporating electromagnets. You will build skills in early-stage medical device development used in technologies and treatments to restore functionality and alleviate pain due to sensorimotor impairments.

Required field of study:

Ideally electrical engineering (or other engineering/computer discipline with the additional skills listed)

Required skills:

Electromagnetic fields, control system design, Finite Element Analysis, programming for embedded systems

Project duration:

60 ECTS

Description:

Join us for an Engineering Internship at CBPR. As an intern, you’ll have the opportunity to contribute to diverse projects across our research groups, gaining practical insights into the forefront of medical innovation. Interns will actively engage in project development, collaborating with experienced professionals and researchers. This hands-on experience will expose you to various aspects of medical engineering, offering valuable insights into cutting-edge technologies and solutions.

Financial Note:

Please be aware that this is an unpaid position. While we don’t provide a salary, you are welcome to bring your own scholarship. We offer strong supervision and support to make the most of your internship.

Required field of study:

Open to various engineering disciplines, preferably pursuing or having completed an MSc.

Required skills:

The tasks for this internship can be adjusted to your skillset.

Om du vill skicka in en öppen ansökan, vänligen kontakta oss via e-post på info@cbpr.se och inkludera:

• CV
• Akademiskt intyg
• Vilken tidsperiod du ansöker för
• Forskningsområden eller specifika projekt du är intresserad av