21 Mar 2024
Job Information
- Organisation/Company
BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE- Research Field
Neurosciences- Researcher Profile
Recognised Researcher (R2)- Country
Spain- Application Deadline
15 Apr 2024 - 23:59 (Europe/Madrid)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 May 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The Basque Center on Cognition Brain and Language (BCBL), located in San Sebastián, in the heart of the Basque Country, Spain, is seeking a highly motivated postdoctoral researcher to join the Signal Processing in Neuroimaging group. The successful candidate will contribute to an innovative research project focused on advanced methods for real-time measurements of cerebrovascular reactivity using cutting-edge neuroimaging technologies such as functional magnetic resonance imaging (fMRI) and high-density functional near-infrared spectroscopy (fNIRS). This exciting opportunity offers the chance to work at the forefront of neuroimaging research, collaborating with leading experts in the field and contributing to groundbreaking advancements in our understanding of human brain physiology and function. The selected candidate will have access to state-of-the-art facilities and resources at BCBL, fostering an environment conducive to scientific excellence and professional growth.
Job description:
The selected candidate will work on the development of a neuroimaging platform using fNIRS or fMRI for real-time computation of cerebrovascular reactivity (CVR) maps. The project will involve the implementation of new methods for real-time physiological signal processing (end-tidal CO2 and respiration), and the development of real-time data transfer, preprocessing and analysis pipelines for cerebrovascular reactivity mapping with fNIRS and fMRI. The ideal candidate would have excellent programming skills using Python and/or Matlab and shell scripting, proven experience in the preprocessing and analysis of fMRI and/or high-density fNIRS data, and knowledge of human brain cerebrovascular physiology, in particular cerebrovascular reactivity. BCBL operates in a state-of-the-art facility equipped with a 3T MRI scanner (Siemens Prisma), and a high-density NIRS system (LUMO) that are fully available for research purposes.
In addition, the selected candidate will have the opportunity to develop original experiments under the supervision and guidance of the PIs, as well as participate in the supervision of undergraduate and doctoral students. The candidate must have excellent organization and communication skills to contribute towards the dissemination of the results at international scientific conferences (presentations/posters) and peer-reviewed journals.
PI and research group:
The candidate will form part of the Signal Processing in Neuroimaging research group (https://www.bcbl.eu/en/research/research-groups/signal-processing-neuroimaging ) led by Dr. César Caballero-Gaudes ([email protected] ). In addition, the group has active collaborations on the topic of the project with other research groups of the BCBL and internationally.
Requirements
- Research Field
- Computer science
- Education Level
- PhD or equivalent
Skills/Qualifications
Required skills:
- Applicants should have a PhD degree in Computer Science, Signal Processing, Electronics, Telecommunications, Biomedical Engineering, Physics, Mathematics, Psychology, Cognitive Neuroscience, and/or related areas.
- The applicants must demonstrate excellent communication skills in English.
- Confident programming skills using Python and/or Matlab, as well as shell scripting.
- Machine learning and computational modelling knowledge.
- Proven experience in processing and analysis of fMRI and/or NIRS data.
Specific Requirements
Desirable skills:
- Experience with real-time neuroimaging applications (neurofeedback, BCI)
- Experience in the design of web-based visualization tools (HTML, Javascript, REACT).
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Benefits
Salary: Gross salary € 28.000 - € 30.000
Entitlements and other benefits: https://www.bcbl.eu/en/join-us/what-is-like-to-work-bcbl
Training opportunities and Career development plan: Researchers at any stage of their career, regardless of their contractual situation, are given an opportunity for professional development and for improving their employability through access to a Personal Career Development Plan which includes:
(1) Training through individually personalized research projects under senior supervision
(2) Exchanging knowledge with the scientific community and the general public
(3) Network-wide training in theory and methods
(4) Complementary training courses
(5) Involvement in proposal writing, task coordination
(6) Development of skills for the organization of training and scientific events
Selection process
To submit your application, please follow this link https://www.bcbl.eu/en/join-us/job-offers applying for “Postdoc_IKUR_2024_CVR” and attach the following documentation:
- A curriculum vitae
- A statement outlining research interests and motivation to apply for the position
- Two letters of recommendation
Additional comments
Application process timetable:
- The application deadline is 15th April 2024.
- Interviews with selected candidates are expected to take place between the 22th and 24th April 2024.
Contact details for enquiries: [email protected] , [email protected]
- Website for additional job details
https://www.bcbl.eu/en/join-us/job-offers/funded-postdoctoral-position-signal-p…
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- BCBL
- Country
- Spain
- State/Province
- Gipuzkoa
- City
- Donostia-San Sebastian
- Postal Code
- 20009
- Street
- Paseo Mikeletegi 69
- Geofield
Where to apply
- Website
https://www.bcbl.eu/en/join-us/job-offers/funded-postdoctoral-position-signal-p…
Contact
- State/Province
Guipuzcoa- City
Donostia- Website
https://www.bcbl.eu- Street
Paseo Mikeletegi 69- Postal Code
20009
[email protected]
STATUS: EXPIRED
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