BCAM – Basque Center for Applied Mathematics
Computational neurobiology, biophysics, translational neurosciences
Contract and offer:
Salary and conditions:
The gross annual salary of the PhD fellowship will be from 33,000 to 36,000 (depending on family status)/year. Should the researcher has a family at the time of recruitment a monthly family allowance will be paid.
It will then be on your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency.
Free access to the Public Health System in Spain is provided to all employees.
30 June 2021 at 14:00 CET (UTC+1)
How to apply:
Applications must be submitted online at: http://www.bcamath.org/en/research/job
Envisaged job starting date:
01/11/2021 (at the latest)
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.
EU Eligibility Criteria for Candidates
ESR8 Researcher Profile
Skills and track-record:
The preferred candidate will have a strong interest in neurobiology, and aims to pursue a career in multidisciplinary research in the neuroscience, quantitative medicine or computational psychiatry.
Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: (i) the fit of the previous training and career to the offered profile, (ii) the recommendation letters, the main results achieved (papers, proceedings, etc.),
(iii) the statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered.
The selected candidates will be invited for an interview (on site or on line). The selection committee is constituted by the supervisory team and the coordination team of ASTROTECH project.Leer más
|Título||PhD Position for H2020 Project ASTROTECH(GA no. 956325)|
|Employer||BCAM - Basque Center for Applied Mathematics|
|Job location||Alameda de Mazarredo 14, 48009 Bilbao, Bizkaia|
|Publicado||mayo 17, 2021|
|Fecha límite de solicitud||junio 30, 2021|
|Tipos de trabajo||Doctorado  |
|Campos||Neurociencia,   Bioinformática,   Biofísica,   Genética,   Biología Celular,   Biología Computacional  |