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Call for Master Students for a Thesis Project in Neuroscience
The project aims to capture how the experience of pain can be affected by physiological-induced anxiety using a novel technique. The work will encompass computational and statistical methods using data-driven analyses/machine learning on behavioral, physiological, and neuroimaging data.
The University of Zurich (UZH) invites applications for master students to conduct a thesis research project at the Integrative Spinal Research (ISR) group, led by PD Dr. Petra Schweinhardt at UZH – Balgrist Campus. The scope of the project is to understand the underlying mechanisms of pain modulation in chronic pain patients using analytical approaches of neuroscientific data.
The ISR group integrates different experimental and clinical approaches to investigate the mechanisms underlying acute and chronic back pain. The ISR is a large group within the Balgrist Campus with a very diverse research scope integrating basic science and clinical research. We accommodate many students at different levels and actively cultivate a highly motivating educational environment that is friendly, caring, and social. Our ISR team includes researchers from neuroscience, epidemiology, chiropractic medicine, psychology, computer science, and biomechanics. Such an interdisciplinary team allows us to combine knowledge from different domains to address research questions from a fresh and original perspective. The current call is for master students to conduct a research project leading to their master thesis.
Supervised primarily by a senior ISR postdoctoral researcher (Dr. Gil Sharvit) and the PI, the master student would join the ISR research team to conduct a master-level research project, leading to a master thesis dissertation, and hopefully to a peer-reviewed publication.
The project aims to capture how the experience of pain (in healthy and chronic pain populations) can be affected by physiological-induced anxiety - using a novel technique developed in our lab. The analysis will be employed on behavioral, physiological, and neuroimaging data. Specifically, the work will encompass computational and statistical methods using data-driven analyses, machine learning, and modeling of the data by concepts taken from Graph Theory and Neural Networks. The thesis project's outcome will result in a deeper understanding of the bio-psychological mechanisms underlying pain modulation by uncertainty and anxiety.
The successful applicant would have the opportunity to work and learn from our interdisciplinary group, apply computational techniques on clinical and experimental data, and acquire valuable knowledge about the biological substrates of chronic pain and the experimental/measurement methods used in the field.
****Requirements & Eligibility**
--> Please review the attached PDF file for full details.
**
The University of Zurich (UZH) invites applications for master students to conduct a thesis research project at the Integrative Spinal Research (ISR) group, led by PD Dr. Petra Schweinhardt at UZH – Balgrist Campus. The scope of the project is to understand the underlying mechanisms of pain modulation in chronic pain patients using analytical approaches of neuroscientific data.
The ISR group integrates different experimental and clinical approaches to investigate the mechanisms underlying acute and chronic back pain. The ISR is a large group within the Balgrist Campus with a very diverse research scope integrating basic science and clinical research. We accommodate many students at different levels and actively cultivate a highly motivating educational environment that is friendly, caring, and social. Our ISR team includes researchers from neuroscience, epidemiology, chiropractic medicine, psychology, computer science, and biomechanics. Such an interdisciplinary team allows us to combine knowledge from different domains to address research questions from a fresh and original perspective. The current call is for master students to conduct a research project leading to their master thesis.
Supervised primarily by a senior ISR postdoctoral researcher (Dr. Gil Sharvit) and the PI, the master student would join the ISR research team to conduct a master-level research project, leading to a master thesis dissertation, and hopefully to a peer-reviewed publication.
The project aims to capture how the experience of pain (in healthy and chronic pain populations) can be affected by physiological-induced anxiety - using a novel technique developed in our lab. The analysis will be employed on behavioral, physiological, and neuroimaging data. Specifically, the work will encompass computational and statistical methods using data-driven analyses, machine learning, and modeling of the data by concepts taken from Graph Theory and Neural Networks. The thesis project's outcome will result in a deeper understanding of the bio-psychological mechanisms underlying pain modulation by uncertainty and anxiety.
The successful applicant would have the opportunity to work and learn from our interdisciplinary group, apply computational techniques on clinical and experimental data, and acquire valuable knowledge about the biological substrates of chronic pain and the experimental/measurement methods used in the field.
****Requirements & Eligibility** --> Please review the attached PDF file for full details. **
To investigate the underlying mechanisms of anxiety-induced modulation of pain perception with computational data-driven approaches.
To investigate the underlying mechanisms of anxiety-induced modulation of pain perception with computational data-driven approaches.
After checking the eligibility requirement (details in the attached PDF here, prospective candidates should send an application digitally by email to Drs. Sharvit and Schweinhardt at (isr@balgrist.ch).
The application message's email should have the title: "Application - Master Research at ISR" and consists of the following attachments: Cover letter, CV, Contact details of previous supervisors/referees. The cover letter should include the candidate's background, previous experience, relevant skills, and motivation. The cover letter should be no more than 1 page.
After checking the eligibility requirement (details in the attached PDF here, prospective candidates should send an application digitally by email to Drs. Sharvit and Schweinhardt at (isr@balgrist.ch). The application message's email should have the title: "Application - Master Research at ISR" and consists of the following attachments: Cover letter, CV, Contact details of previous supervisors/referees. The cover letter should include the candidate's background, previous experience, relevant skills, and motivation. The cover letter should be no more than 1 page.