This position includes translational research on the treatment of pain using novel devices, as well as brain imaging studies, data analysis, and machine learning to elucidate the working mechanism of the treatments and the condition itself. You will also conduct studies to further improve and develop devices and treatments, with the ultimate goal of relieving people from their chronic and debilitating pain. Information about the department and the research Our group developed a novel treatment for phantom limb pain (PLP) using myoelectric pattern recognition (machine learning) for the decoding of motor volition, and virtual and augmented reality for real-time biofeedback. This treatment is now used worldwide. However, the mechanism underlying PLP is still unknown. This position is related to the translational research involving clinical, behavioral, and brain imaging studies for better understanding of pain due to sensorimotor impairments and it's treatment. The position is within the Center for Bionics and Pain Research (CBPR), a multidisciplinary engineering and medical collaboration between Chalmers University of Technology, Sahlgrenska University Hospital, and the Sahlgrenska Academy at the University of Gothenburg. The mission of CBPR is to develop and clinically implement technologies to eliminate disability and pain due to sensorimotor impairment. The person will be officially employed at the Department of Electrical Engineering at Chalmers, where we conduct internationally renowned research in biomedical engineering, antenna systems, signal processing, image analysis, automatic control, automation, mechatronics, and communication systems. Major responsibilities Your main responsibilites will include: - Design and implementation of clinical trials. - Design and conduct behavioral and brain imagining studies. - Literature reviews on treatments and epidemiology of pain. Contract terms Full-time temporary employment. The position is limited to a maximum of three years (two years initially with a possible extension to three years). We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. Read more about working at Chalmers and our benefits for employees at https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Pages/default.aspx CBPR is located within Sahlgrenska University Hospital in Mölndal, and you can read more about our work and our team at https://cbpr.se/ Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with Ref 20220311 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document as: CV, Surname, Ref. number) including: • CV, include complete list of publications • Two references that we can contact. Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) 1-3 pages where you: • Introduce yourself • Describe your previous research fields and main research results • Describe how you can contribute to CBPR's research program. Other documents: • Attested copies of completed education, grades and other certificates. <b>How to apply</b> https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10630&rmlang=UK Use the button at the foot of the page to reach the application form. For questions, please contact: Prof. Max Ortiz Catalan, Systems and Control maxo@chalmers, +46 708461065

We have been developing Brain-Computer Interface (BCI) using electrocorticography (ECoG) [1] , which is recorded by electrodes implanted on brain surface, and magnetoencephalography (MEG) [2] , which records the cortical activities non-invasively, for the clinical applications. The invasive BCI using ECoG has been applied for severely paralyzed patient to restore the communication and motor function. The non-invasive BCI using MEG has been applied as a neurofeedback tool to modulate some pathological neural activities to treat some neuropsychiatric disorders. Although these techniques have been developed for clinical application, BCI is also an important tool to investigate neural function. For example, motor BCI records some neural activities in a part of the motor cortex to generate some movements of external devices. Although our motor system consists of complex system including motor cortex, basal ganglia, cerebellum, spinal cord and muscles, the BCI affords us to simplify the motor system with exactly known inputs, outputs and the relation of them. We can investigate the motor system by manipulating the parameters in BCI system. Recently, we are developing some BCIs to visualize and manipulate our perception and mental imagery. Although these BCI has been developed for clinical application, the BCI will be useful to understand our neural system to generate the perception and imagery. In this talk, I will introduce our study of phantom limb pain [3] , that is controlled by MEG-BCI, and the development of a communication BCI using ECoG [4] , that enable the subject to visualize the contents of their mental imagery. And I would like to discuss how much we can control our cortical activities that represent our perception and mental imagery. These examples demonstrate that BCI is a promising tool to visualize and manipulate the perception and imagery and to understand our consciousness. References 1. Yanagisawa, T., Hirata, M., Saitoh, Y., Kishima, H., Matsushita, K., Goto, T., Fukuma, R., Yokoi, H., Kamitani, Y., and Yoshimine, T. (2012). Electrocorticographic control of a prosthetic arm in paralyzed patients. AnnNeurol 71, 353-361. 2. Yanagisawa, T., Fukuma, R., Seymour, B., Hosomi, K., Kishima, H., Shimizu, T., Yokoi, H., Hirata, M., Yoshimine, T., Kamitani, Y., et al. (2016). Induced sensorimotor brain plasticity controls pain in phantom limb patients. Nature communications 7, 13209. 3. Yanagisawa, T., Fukuma, R., Seymour, B., Tanaka, M., Hosomi, K., Yamashita, O., Kishima, H., Kamitani, Y., and Saitoh, Y. (2020). BCI training to move a virtual hand reduces phantom limb pain: A randomized crossover trial. Neurology 95, e417-e426. 4. Ryohei Fukuma, Takufumi Yanagisawa, Shinji Nishimoto, Hidenori Sugano, Kentaro Tamura, Shota Yamamoto, Yasushi Iimura, Yuya Fujita, Satoru Oshino, Naoki Tani, Naoko Koide-Majima, Yukiyasu Kamitani, Haruhiko Kishima (2022). Voluntary control of semantic neural representations by imagery with conflicting visual stimulation. arXiv arXiv:2112.01223.