Call for position: Specialist support technician: NoDYN project

European Commission; España; Presencial; EUR 19.000; A tiempo parcial

Descripción de la vacante

A leading university in Spain is looking for a part-time researcher to contribute to a multidisciplinary project in Cognitive Neuroscience. Tasks include data analysis, article writing, and whole-brain modeling. Candidates should have relevant degrees and experience in a Cognitive Neuroscience lab, with remuneration around €18,434.56 gross per year. The role emphasizes innovative research in neuroimaging, particularly focusing on women's health and various brain disorders.

Formación

• Experience in a Cognitive Neuroscience Lab.
• Experience in whole-brain modeling.

Responsabilidades

• Conduct data analysis for neuroimaging data.
• Write articles based on research findings.
• Quantify neuroimaging data collected from participants.
• Build and analyze computational whole-brain models.

Conocimientos

Data analysis

Article writing

Quantification of neuroimaging data

Whole-brain modeling

High level of English

Knowledge of MATLAB

Knowledge of R

Educación

Undergraduate degree in Psychology or similar

Master in Cognitive Neuroscience or similar

Descripción del empleo

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Universitat Pompeu Fabra - Department / School of Engineering

Organisation/Company Universitat Pompeu Fabra - Department / School of Engineering Department Engineering Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Country Spain Application Deadline 7 Aug 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Part-time Hours Per Week 22,5 Offer Starting Date 24 Jul 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

NoDYN is a multidisciplinary project led by Gustavo Deco, director of the Computational Neuroscience lab . In this project, we are developing a novel thermodynamics framework based on physics that combines theoretical neuroscience, artificial intelligence, and clinical neuroscience. The framework will be applied to human neuroimaging data from patients suffering from brain disorders (attention deficit hyperactivity disorder, stroke, bipolar disorder, autism, and schizophrenia) and healthy participants (middle-aged and older adults) emphasizing women's health (from premenopausal to postmenopausal stages). Project NoDYN Grant PID2022-136216NB-I00 funded by MICIU/AEI/10.13039/501100011033 and by“ERDF A way of making Europe” (PI Gustavo Deco)

The researcher works on Objectives 3, 4, and 6.

Objective 3: Quantification of the non-reversibility/non-equilibrium degree from neuroimaging data in healthy participants (middle-aged and older adults), women in premenopause and postmenopause stages, and patients suffering from brain disorders (stroke, ADHD, bipolar disorder, autism, and schizophrenia).

Objective 4: Build computational whole-brain models based on the empirical data of healthy participants and patients mentioned above to investigate causal mechanisms underlying non-reversibility/non-equilibrium in brain dynamics.

Objective 6: Objective 6: Reveal new biomarkers based on the novel concepts of non-equilibrium/non-reversibility dynamics combined with artificial intelligence to stratify patients.

Tasks to be performed:

• Data analysis
• Article writing
• Quantification of neuroimaging data
• Whole-brain modeling

Group and complement: Group 3 + Level U
Dedication and working hours: Part time (22,5 h/week).
Planned remuneration approx: 18.434,56€ gross per year

Financing fund:
NoDYN Grant PID2022-136216NB-I00 funded by MICIU/AEI/10.13039/501100011033 and by“ERDF A way of making Europe” (PI Gustavo Deco)
PRESP05123 - PID2022-136216NB-I00/MCIN/AEI/10.13039/50110001103 NoDYN PI Gustavo Deco

The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview.

Valuation will be as follows:

• Academic experience (0-20 points)
  • Undergraduate degree in Psychology or similar. Master in Cognitive Neuroscience or similar.
    
• Professional experience and suitability to the proposed profile (0-60 points):
  • Experience in a Cognitive Neuroscience Lab
  • Experience in whole-brain modeling
    
• Other merits (0-20 punts):
  • High level of English.
  • Good knowledge of MATLAB and R.
  • Able to start 1 November 2025.

Minimum points: 70. The minimum score to pass the selection process is 70 points. The candidate with the highest score in the selection process will be offered the job.