Development of integrated training methods to optimize psycho-physical performance in professional athletes

1 Research Collaborator position
(Deadline April 20th, 2022 13:00 )
Fields

Neural Efficiency, Psychophysiological Biomarkers (EEG,EOG,ECG,EMG,PPG,GSR); mental training in elithe athletes, portable devices for central and peripheral biomarkers;

Profile

The IMT School is looking for a research collaborator with a solid background in the acquisition and analysis of both central and peripheral physiological signals in humans. The ideal candidate for this position has significant research experience in simultaneous recording, pre processing and advanced analysis of various physiological signals recorded with portable devices, including electroencephalography (EEG), electrooculography (EOG), electromyography (EMG), photoplestysmography (PPG), electrocardiography (ECG), and skin conductance (GSR). It is also desirable to have good programming skills and previous experience in the development of automatic software for the real-time analysis of physiological data and a good knowledge of the Matlab environment and/or other programming languages. Possession of research experience and/or scientific production in the psychophysiological field or related to the field of efficiency and mental fatigue is a preferential requirement.

Activity

The candidate will work within the MAIORA research project, which aims to define new and innovative methods capable of quantifying in real time the mental and physical expenditure of a subject who is carrying out tasks with a high level of difficulty starting from physiological signals. multiples acquired through portable and non-invasive devices. The goal is to improve the psychophysical performance of professional athletes by exploiting monitoring and training techniques based on the most recent advances in cognitive neuroscience and sport. The project will be conducted in close collaboration with Formula Medicina Srl, a company with a recognized and validated experience in the field of mental training. Based on the experience gained in more than 30 years of activity with high-level professionals, Formula Medicine is able to give complete support to every type of athlete, not only from a medical point of view, but also from a physiotherapy, mental and athletic. The candidate will contribute to the definition of new experimental protocols that can identify a complete set of physiological parameters capable of offering a "readout" of the level of attention, cognitive efficiency and the ability to manage both physiological and mental stress by the athlete during the carrying out difficult psychomotor tasks but also to predict changes in performance, cognitive attention deficit or increases in levels of mental fatigue and / or drowsiness with good accuracy. These protocols will provide for the non-invasive recording of multiple central and peripheral physiological signals, selected on the basis of scientific literature, including electroencephalography, electrocardiography, electrooculography, electromyography, photoplethysmography and skin conductance. Using artificial intelligence techniques, the psycho-physiological parameters most predictive of the athlete's performance will be identified and automated software will be developed that can analyze the selected parameters in real time. The methodologies thus defined will be implemented in a mental training "station" capable of providing the athlete with feedback on his performance. The performance of the system will finally be evaluated longitudinally in a group of professional athletes. The candidate will contribute to the achievement of all the operational objectives of the research project. In particular, the candidate will carry out a complete review of the scientific literature in order to identify the best candidates among all the potentially informative characteristics that can be derived from both central and peripheral physiological signals, and to select from the range of devices available on the market. those that provide the best compromise between portability and signal quality. The candidate will also coordinate the data acquisition procedures and personally carry out the data analysis and software development phases that can automatically extract the set of physiological parameters selected in real time. Finally, the candidate will also follow the implementation of the monitoring system within a physical "mental training" station, as well as the procedure of objective validation of the performance of the entire system for optimizing the mental and physical performance of the subject at the operational headquarters of Formula Medicine. The candidate must therefore guarantee an almost constant presence not only at IMT, but also at the Formula Medicine headquarters, in Viareggio (Lucca, Italy).

Formal requirements
  • Master degree in bioengineering, bionics, engineering areas, psychology, cognitive science or related fields;
  • Being younger than 36 years of age at the time of submission;
  • Excellent knowledge of English, both spoken and written.

 

Specific requirements
  • Good experience of research and scientific production in relation to the fields defined in this position;
  • Experience in recording and analyzing EEG data;
  • Experience in recording and analyzing peripheral physiological signals including ECG, EOG, EMG, PPG, GSR.
  • Good programming skills, especially in the Matlab environment;
  • Aptitude for team work.
Duration

24 moths

Gross amount

 € 24.300,00/year

Project

“Metodi di Allenamento Integrato per Ottimizzare il Rendimento psico-fisico negli Atleti professionisti” – MAIORA; P0233; CUP: D63D21005330008

L'assegno di ricerca è finanziato a valere sul FSC (Fondo per lo Sviluppo e la Coesione) e rientra nell'ambito di Giovanisì (www.giovanisi.it), il progetto della Regione Toscana per l'autonomia dei giovani.

Job Research Area: 
NS
Job Research Unit: 
MOMILAB
Job Contract Type: 
Assegno di ricerca

Application

Apply ONLINE only.

Before filling in the application form, please read thoroughly the full call and collect all the files you may need:

Info

  • Personal info and contact info (compulsory);
  • University degree (compulsory);
  • PhD (compulsory only if stated in the full call).

Attachments

  • The scanned copy of a valid identity document (Passport or Identity Card - compulsory);
  • Your CV in English (compulsory).