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Call PhD Fellowship

Complete the following questionnaire for - PhD Position for H2020 Project ASTROTECH  (256 KB)

The past four decades demonstrated that non-neuronal cells, called astrocytes are emerging as crucial players for brain function & dysfunction. A major obstacle of previous and current initiatives on neurotechnologies is a lack of focus on astrocytes and most of the tools used to probe and sense astrocytes are derived from those developed to study neurons.

The ASTROTECH (http://www.astrotechproject.eu/) Consortium aims at pioneering the field of “Glial Engineering,” to develop a consistent range of tools to record, study, and manipulate astrocytes in the healthy and diseased brain.

ASTROTECH will train 15 Early Stage Researchers (ESRs) on research, training and complimentary skills aiming at: (i) engineering biomaterials and nanostructured interfaces to provide in vivo-like in vitro models for controlled and reliable studies of astrocytes in vitro; (ii) fabrication and characterization of nanostructured devices for stimulation, recording and biosensing of astrocytes; (iii) optogenetics tools, optoelectronic device and photonic methods for precise and cell selective stimulation of astrocytes; and (iv) computational approaches to characterize neuron-astrocytes interactions. Specifically, training on state-of-the-art biomaterials interfaces, electronic, photonic devices will be combined with in-depth knowledge on optogenetics, neuroscience, glial physiology and biology and computational approaches to validate the developed tools in vitro, ex vivo and in silico with emphasis on pathological models of glioma, ischemia, epilepsy and depression.

The ASTROTECH Consortium combines 11 funding entities and 14 partners in the academia, public research centers and industrial labs, from 9 European and Non-European countries. The consortium combines interdisciplinary knowledge with soft skills across the private and industrial sectors. ASTROTECH aims to train in every step of the value chain “from benchside to bedside” providing a thorough approach to the understanding of brain health and disorders under the flagship of neuron-glial interactions.

Deadline: 15th July 2022, 14:00 CET (UTC+2) .

Applications will be evaluated in a continuous manner, with a response period no longer than 4 weeks after the call deadline.

Contact: recruitment@bcamath.org

((required)) Compulsory field.

Personal Data


Ex: YYYY-MM-DD

Current Position

PhD DEGREE

Complete if (expected to be) finished before your expected starting date at BCAM


UNDERGRADUATE DEGREE

The highest non-PhD degree (expected to be) finished before your expected starting date at BCAM


Research
Please choose your interest

Curriculum Vitae

Please attach one file in ."pdf" your CV containing your all publications (Max. size 4 Mb).


Interest letter

Please attach one file in ".pdf" containing your letter of interest (Max. size: 4Mb).


SCIENTIFIC RESULTS ACHIEVED And Research Statement

Please attach the Statement of past and proposed future research (2-3 pages) in .pdf (Max. size: 4Mb)


References
Person 1

Person 2

The reference letters shall be submitted directly by the referees. Each referee you indicate in this form shall automatically receive an e-mail with instructions to submit the recommendation letter to BCAM. So, you DON'T have to submit yourself. Those recommendation letters sent directly by you shall automatically discarded.

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NOTICE: Once you have applied to the position, you may not re-apply in this position. Please make sure that everything is correct.


Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del PaĂŚs Vasco (UPV/EHU)