Open Calls

The Ministry of Science and Technology (MOST) is funding a research project entitled:  “Leveraging deep learning, virtual reality and miniaturized wearable sensors for the diagnosis of cognitive-motor impairments in health and disease”, which is led by the CATR in collaboration with the signal acquisition measurements processing and learning lab (SAMPL) of the department of Computer Science and Applied Math at the Weizmann Institute of Science. SAMPL Lab, headed by Prof. Yonina Eldar, focuses on developing new technologies that more efficiently extract and process signals and information across a wide range of tasks, including for medical purposes. The lab also develops model-based methods for artificial intelligence (AI) that aid in obtaining increased information using minimal resources.  

 

Position details:

The successful candidate will be jointly supervised by Dr. Meir Plotnik and by Prof. Yonina Eldar. The aim of the project is to study mechanisms underlying falls in old age and  build and validate a cutting-edge tool for the prevention of falls in the ageing as well as in clinical populations based on real-time analyses of cognitive-motor interactions (using also affective measures as covariates) during complex behaviors. The successful candidate will be in charge of the development of an ad-hoc machine-learning (ML) algorithm integrating kinematics, physiological (heart-rate; galvanic skin response; respiration) and gaze signals recorded during visuo-motor interactions in virtual scenarios. The final aim of the ML pipeline is to identify the features underlying dysfunctional visuo-motor behaviors, thus ultimately uncovering multi factorial mechanisms contributing higher risk for falls.

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Starting date: ASAP – enhanced scholarship is guaranteed.

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Professional & personal requirements:

The successful applicant must demonstrate independence, high motivation, initiative and rigor in conducting research, together with team player skills and with a natural affinity and curiosity for scientific inquiry.   

• MSc degree in disciplines related to neuroscience / cognitive psychology / biomedical engineering / computer science Large Scale VR & Bio-signals systems

• Proven programming skills, in particular with MATLAB/Python

• Technophile

• Previous experience with machine-learning (advantage)

• Experience with acquiring and analyzing physiological signals (advantage)

 

Please send CV and a motivation letter to meir.plotnik@sheba.health.gov.il