[Neuroinfo] Job announcement by The Valdes-Sosa Neuroinformatics Lab

[Pedro Antonio Valdés-Sosa]

Job announcement by The Valdes-Sosa Neuroinformatics Lab
A candidate for Specially Recruited Talent by UESTC at Professor Valdes-Sosa’s lab is wanted.
 The candidate will join the lab to work on one or several of the following topics: i) to develop computational methods to examine network-level structural and functional brain connectivity to shed light on the neurobiological mechanism of disease, paving the way for early detection and intervention. ii)  to develop new mathematical and statistical techniques for processing neurofeedback in real-time using fMRI and EEG and further application in a clinical setting to modify altered brain circuits. Mainly, our research focuses on:

-         Mathematical modeling of effective connectivity by using data-driven approaches (Tensor Methods as well as Bayesian Wiener-Akaike Granger-Causality

-   The development of Neural mass and Neural field models based integrated with state-space methods for model inversion.

-      Novel EEG/MEG source localization with emphasis on the biophysical origin of these phenomena

-         Development of scalable and efficient algorithms/methods to run on HPC cluster for Big Data processing

-     Creation of and interaction with large-scale population neuroimaging databases of normal and pathological subjects.
A particular approach is to examine usually accepted assumptions and methods and see if they need radical transformations, thus leading to innovative new techniques and knowledge (“myth-busting”)
Requirements

  1.  Candidates must have a strong background in computational neuroscience or mathematical modeling, Biomedical Engineering, Computer Engineering, Physics, Mathematics, or a related field with research interests in neuroinformatics, cognitive neuroscience, or multimodal neuroimaging. Experience with MRI, fMRI, and EEG processing is preferred.
  2.  Candidates should possess a doctorate. (Chinese applicants are required to have a senior professional or technical position), Moreover, the age (calculated as of January 1, 2021) of candidates in the field of natural science and engineering technology is generally not more than 42 years old, while the age of candidates in the field of humanities and social science is generally not more than 52 years old, (calculated as of January 1, 2021).
  3.  Young candidates scholar should hold a doctorate (Chinese applicants must hold a senior professional or technical position in principle). The age (calculated as of January 1, 2021) of candidates in the natural science and engineering technology categories should generally not exceed 37 years old, and the age of candidates in the humanities and social science categories (calculated as of January 1, 2021) shall not exceed 42 years of age in general.
  4.  Candidates must have good personal moral character, healthy psychological quality, rigorous and realistic academic style, strong team organization and leadership ability, and hard work and dedication.
  5.  Be able to grasp the development direction of the discipline, have forward-looking and innovative academic ideas, have a substantial academic influence in the discipline, and RESEARCH achievements are widely recognized.
About Professor Valdes-Sosa
Professor Valdes-Sosa is Co-PI of the Global Brain Consortium (https://globalbrainconsortium.org/ ), Director of the Joint China-Cuba Laboratory for Translational Neurotechnology, Co-editor in chief of Frontiers in Neuroimaging. He co-founded the Cuban Neuroscience Centre in 1990. He is also a Senior Professor of the Higher Institute for Medical Sciences, a full member of the Cuban and Latin American Academies of Sciences, a Fellow of the Organization for Human Brain Mapping, and a member of its scientific advisory board.
Dr. Valdes-Sosa obtained an M.D. in 1972, a B.Sc. in Mathematics in 1973, a Ph.D. in 1973 (all in Havana). He did postdoc training with E. Roy John at NYU in 1979. In 2011 he was awarded the Cuban highest degree of Doctorate in Science.
During his medical studies, he pioneered EEG and ERP multivariate statistical software for the first Cuban microcomputer (1970), being a co-author of the Neurometrics paper in science (1977). He later expanded this work to quantitative MEG/EEG Tomography-based source localization methods and fusion with fMRI. He also initiated statistical modeling with neural mass models. He has been active in introducing neurotechnology into the Cuban public health system and advocates for the impact of brain research on Global Health. He has more than 200 with an H index of 55). http://scholar.google.com/citations?user=0M2PVJIAAAAJ; http://en.wikipedia.org/wiki/Pedro_Antonio_Valdes-Sosa

Professor Valdes-Sosa’s publications

  1.  Valdes-Sosa, P. A., Galan, L., Bosch-Bayard, J., Bringas-Vega, M. L., Aubert-Vazquez, E., Rodriguez-Gil, I., … Valdes-Sosa, M. J.. The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and Cognition dataset. Nature Scientific Data, 8(45). https://doi.org/10.1038/s41597-021-00829-7, 2021
  2.  P. A. Valdes-Sosa, A. Roebroeck, J. Daunizeau, and K. Friston, “Effective connectivity: Influence, causality and biophysical modeling” NeuroImage, vol. 58, no. 2, pp. 339–361, Apr. 2011.
  3.  P. A. Valdes-Sosa, J. M. Sanchez-Bornot, R. C. Sotero, Y. Iturria-Medina, Y. Aleman-Gomez, J. Bosch-Bayard, F. Carbonell, and T. Ozaki, “Model driven EEG/fMRI fusion of brain oscillations” Human brain mapping, vol. 30, no. 9, pp. 2701–21, Sep. 2009.
  4.  P. A. Valdés-Sosa, J. M. Sánchez-Bornot, A. Lage-Castellanos, M. Vega-Hernández, J. Bosch-Bayard, L. Melie-García, and E. Canales-Rodríguez, “Estimating brain functional connectivity with sparse multivariate autoregression” Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 360, no. 1457, pp. 969–981, May 2005.
  5.  F. Miwakeichi, E. Martínez-Montes, P. A. Valdés-Sosa, N. Nishiyama, H. Mizuhara, and Y. Yamaguchi, “Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis” NeuroImage, vol. 22, no. 3, pp. 1035–45, Jul. 2004.
  6.  E. R. John, B. Z. Karmel, W. C. Corning, P. Easton, D. Brown, H. Ahn, M. John, T. Harmony, L. Prichep, A. Toro, I. Gerson, F. Bartlett, R. Thatcher, H. Kaye, P. Valdes, and E. Schwartz, “Neurometrics” Science, vol. 196, no. 4297, pp. 1393–1410, 1977.

Application
To apply, send a cover letter, a resume, and a letter of recommendation from a former advisor or head of department to our contact email: Yvonne.liu at neuroinformatics-collaboratory.org<mailto:Yvonne.liu at neuroinformatics-collaboratory.org>;

Deadline: August 10, 2021

Contact Information:
Yvonne. L
School of Life Science and Technology
University of Electronic Science and Technology of China
Qingshuihe Campus, Chengdu, Sichuan
Phone: +8613699089074
Email: Yvonne.liu at neuroinformatics-collaboratory.org<mailto:Yvonne.liu at neuroinformatics-collaboratory.org>

Miaomiao Chen
School of Life Science and Technology
University of Electronic Science and Technology of China
Qingshuihe Campus, Chengdu, Sichuan

Phone: +8615882445416
Email: chenmm201109 at uestc.edu.cn<mailto:chenmm201109 at uestc.edu.cn>
a
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.incf.org/pipermail/neuroinfo/attachments/20210730/044a255e/attachment-0001.html>