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Ph.D. scholarship in motor control and sensorimotor learning
The University of Verona (Italy) is offering a 3 years Ph.D scholarship in Neuroscience, Psychological and Psychiatric Sciences, and Movement Sciences. The candidates will have the opportunity to work in the areas of motor control and sensorimotor learning under the supervision of Prof. Matteo Bertucco. The person selected will be involved in one of the two following projects: 1) the effects of general and local muscular fatigue on sensorimotor learning*; 2) the neurophysiological principles of dexterous motor skills learning** (see below for details). The laboratory is located at the School of Human Movement and Sport Sciences within the Department of Neurosciences, Biomedicine and Movement Sciences. The Department is among the most dynamic and prolific academic environments in Europe in Neuroscience and the School of Human Movement and Sport Sciences has been ranked among the best 5 Schools of Sport Sciences in the world by the Academic Ranking of World Universities 2021. The laboratory is equipped with VICON Motion Camera system, 2 force plates, 16 channels wireless EMG, accelerometers, TMS, TDCS and eye-tracking. Highly qualified laboratories in neuro-imaging, cognitive neuroscience and exercise physiology are also located within the Department with possibilities for interdisciplinary collaborations. Moreover, the laboratory is currently collaborating with national and international universities and research institutions (Europe and USA).
We seek a candidate with a Master’s Degree in Biomedical or Electrical Engineering or Human Movement Science who is motivated and with strong skills in MATLAB and/or LabView desired. Experience with kinematics, dynamics and EMG data collection and analysis is highly welcome.
For more information and to apply:
https://www.dnbm.univr.it/?ent=iscri...cs=820&lang=en
Interested applicants may also contact Prof. Matteo Bertucco, matteo.bertucco@univr.it for additional information.
Applicants can submit their application from 9 May 2022 to 8 June 2022 at 12.00 noon (Italian time, GMT+1), exclusively using the online form available at www.univr.it/applicationphd.
The position will start the 1st October 2022.
* The aim of the project is to investigate the impact of central fatiguing exercise and local neuromuscular fatigue on motor learning. Specifically, the project will exploit computational approaches and noninvasive forms of brain imaging and stimulation techniques to understand the neurophysiological mechanisms of motor coordination and exploration strategies as a reaction to induced physical fatigue during motor skills acquisition.
** The aim of the project is to study the mechanisms of learning of dexterous sensorimotor control of low-force production while manipulating objects. A novel strength-dexterity test will be used while exploiting neuromuscular measurements and brain imaging and stimulation techniques to investigate the underlying neurophysiological principles and neural correlates underlying the dexterous motor skills learning.
We seek a candidate with a Master’s Degree in Biomedical or Electrical Engineering or Human Movement Science who is motivated and with strong skills in MATLAB and/or LabView desired. Experience with kinematics, dynamics and EMG data collection and analysis is highly welcome.
For more information and to apply:
https://www.dnbm.univr.it/?ent=iscri...cs=820&lang=en
Interested applicants may also contact Prof. Matteo Bertucco, matteo.bertucco@univr.it for additional information.
Applicants can submit their application from 9 May 2022 to 8 June 2022 at 12.00 noon (Italian time, GMT+1), exclusively using the online form available at www.univr.it/applicationphd.
The position will start the 1st October 2022.
* The aim of the project is to investigate the impact of central fatiguing exercise and local neuromuscular fatigue on motor learning. Specifically, the project will exploit computational approaches and noninvasive forms of brain imaging and stimulation techniques to understand the neurophysiological mechanisms of motor coordination and exploration strategies as a reaction to induced physical fatigue during motor skills acquisition.
** The aim of the project is to study the mechanisms of learning of dexterous sensorimotor control of low-force production while manipulating objects. A novel strength-dexterity test will be used while exploiting neuromuscular measurements and brain imaging and stimulation techniques to investigate the underlying neurophysiological principles and neural correlates underlying the dexterous motor skills learning.