[Comp-neuro] 2x Postdoctoral Research Assistants in Knowledge Representation and Information Theory applied to fNIRS
f.orihuela-espina at ccc.inaoep.mx
Tue Nov 10 02:14:55 CET 2015
*2x Postdoctoral Research Assistants in Knowledge Representation and
Information Theory applied to fNIRS*
Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) – Dept.
of Computer Science
*About the positions*
The Department of Computer Science at INAOE in Puebla, Mexico, invites
applications for 2 two years full-time postdoctoral research assistant
positions in the field of functional optical neuroimaging
interpretation. Initial contract will be short-term according to
institutional internal regulations extensible up to 2 years as the
candidate demonstrate his/her suitability for the position and maintains
his performance and productivity.
You will be working under the supervision of Dr. Felipe Orihuela-Espina.
You will be expected to publish in high impact factor journals as well
as in top conferences of the area. You will also be expected to
contribute and help, not only to the project but also to the research
and teaching carried out in the lab and the department in general. You
will also help with PhD student supervision. You might further be asked
to help with administrative tasks related to this or related projects
including but not limited to report generation and generation of new
grant applications. All the former has to be delivered punctually
against tight deadlines. This description of tasks might not be exhaustive.
Salary is regulated by CONACYT’s project administration manual
*About the project*
Functional near infrared spectroscopy (fNIRS) is an emerging
neuroimaging modality available for understanding brain behaviour for
which current analysis and interpretation methods were often inherited
and adapted from other neuroimaging modalities such as functional
magnetic resonance imaging (fMRI). This migration of methods is never
trivial or without compromises. This 3 years $2M MXN project explores
alternative analysis and interpretation algorithms and techniques
specifically developed for fNIRS which can answer complex questions
about cognitive activity while considering and exploiting fNIRS specific
particularities. More specifically, these positions aim at:
(i)(/_Position Key: fNIRS-2016-01-KR_/) Exploring the use of knowledge
representation techniques as a base for streamlining fNIRS
experimentation, analysis and interpretation. Research tasks include,
but are not limited to, the construction of conceptual maps defining
experimental elements in fNIRS, the proposition of an initial ontology
capturing fNIRS experimentation and the testing of different reasoning
techniques over the ontology.
(ii)(/_Position Key: fNIRS-2016-02-IT_/) Exploring the suitability of
information theory metrics for expressing brain connectivity from fNIRS.
Research tasks include, but are not limited to, developing semi-virtual
registration approaches, strong validation proofs, mathematical
development of metrics and pseudometrics for expressing brain connectivity.
The solutions resulting from this project will be evaluated in
applications of surgical neuroergonomics for the study of learning and
training of new surgeons, as well as in virtual rehabilitation for the
observation of neuroplastic changes associated to the therapy
To obtain further details of the project, please check contact details
*About the candidate*
Applications are sought in optical neuroimaging analysis and
interpretation, with particular emphasis on the following topics:
-Functional Near Infrared Spectroscopy (fNIRS)
-Statistics and experimental design
Outstanding researchers in neuroimaging modalities other than fNIRS, but
whose work is closely related with the current research project will be
·Candidates must hold a Ph.D. in a relevant discipline (e.g. computer
science, mathematics, statistics, physics, engineering) and have
obtained this no more than 5 years before the starting date of the
·You will be fluent in English. Spanish is welcomed but not strictly
·You will have excellent communication skills (oral and written) linked
with an excellent publication record.
·You must have the potential to do pioneering research and to teach
·You will have outstanding demonstrable coding expertise with numerical
and symbolic packages (preferably Matlab)
·You will have to be able to carry out research without supervision, and
being able carry out collaborative research.
·You will be able to deliver quality work following tight project deadlines.
·If not Mexican, you will need work permit according to Mexican laws. An
conditional invitation letter can be produced upon offering the job to
support your application for work permit.
·Other administrative and legal demands may have to be fulfilled to
abide Mexican laws and institutional regulations.
*About the institution, the department and the laboratory*
INAOE is one of the top ranked research institutions in Mexico according
to the international SCIMAGO institutions rankings. Created in 1971
following the research inheritance from the National Observatory of
Astrophysics, INAOE is one of the national network of research centers
The Computer Science Department at INAOE is one of the leading research
departments in computer science in Mexico with 23 full-time researchers;
95% recognized by the National Researchers System (SNI) in Mexico and
over 40% on the top levels. We offer Master and PhD degrees and all our
students benefit from a scholarship. The department has 7 strong
research groups also called laboratories in robotics, machine learning,
natural language processing, vision, high performance computing,
ubiquitous computing and networks, and the biosignal and medical
The biosignal and medical applications laboratory develops several lines
of research including neuroimaging processing and analysis, affective
and persuasive computing, virtual neurorehabilitation and geomedicine.
It is the proud pioneer in Mexico regarding emotion recognition from
speech which generated the first spin up business from INAOE. It has
recently been granted about $5M MXN infrastructure funds for
strengthening the neuroimaging research line.
*About the application process*
To submit your application, please send by e-mail the following
information in English to the contact below.
·CV in free style including academic trajectory and full publication
record, and clear contact e-mail.
·A 5 pg maximum (11pt) statement explaining why you are the best
candidate for the position and initial solution ideas. Please clearly
indicate the position key (see above) for which you are applying for.
·2 reference letters and the corresponding contact for referees. Please
note, they might be contact for further information about the candidate.
The application process might involve one or more interviews, and
demonstration of skills by means of a probatory task. Although we will
try to answer all applications, if you haven’t heard from us within 3
weeks from your submission date please consider that your application
has been unsuccessful.
The positions are available as from the 3^rd of January 2016 but earlier
or later incorporations might be considered. The positions will be
opened until suitable candidates are found.
For further details about the project and how to apply and latest
updates about the job offer, please visit:
You will be working under the supervision of Dr. Felipe Orihuela-Espina.
e-mail: f.orihuela-espina at ccc.inaoep.mx
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