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Job Postings

By Felipe Orihuela-Espina and Stacey Ladieu.

We encourage everyone to contact us with the job offer information so that we can announce as soon as possible in this page. Alternatively, post job openings to the SfNIRS Facebook group. We also suggest that you use twitter with the #fnirs hashtag. The list is in reverse ordering to posting publication (to our knowledge) with more recent atop. If you know of any other job opportunity that you think it should be announced here, or you want an amendment to be made to one of the postings, please do contact us. Please note that we cannot guarantee that these offers are still open. For older job postings please check our archive.

Clinical Research Coordinator Associate (1 Yr. Fixed Term)

• Posted by: Dr. Yuanyuan Gao
• Posting date: Jun 25, 2023
• Where: School of Medicine, Stanford, California, United States
• More information at: https://careersearch.stanford.edu/jobs/clinical-research-coordinator-associate-1-yr-fixed-term-21757

The Division of Interdisciplinary Brain Sciences (DIBS) in the Department of Psychiatry & Behavioral Sciences at Stanford University is seeking a 1-year fixed term Clinical Research Coordinator Associate (CRCA) at 100% FTE to support multiple studies utilizing imaging technologies. DIBS is dedicated to research that will improve the lives and well-being of individuals with disorders of the brain and improve knowledge of healthy brain and behavioral development. Coordinator responsibilities will include liaising with relevant service providers and community groups for recruitment purposes, screening participants by telephone for inclusion/exclusion criteria, organizing and disseminating preparatory materials, planning trips for participants to visit Stanford, and managing data and database integrity. Responsibilities also include MRI/NIRS data acquisition and conducting behavioral assessments of research participants. Opportunities are available to prepare and co-author scientific manuscripts for publication. This position may occasionally entail work outside peak business hours (e.g., evenings) to accommodate scanning sessions. The CRCA will work closely with project coordinators to track project progress, meet deadlines, anticipate project needs, communicate with project collaborators offsite, and train other staff as needed. The successful applicant will have a good understanding of behavioral principles and experience with children and adolescents with intellectual and developmental disabilities as well as experience in fNIRS equipment and MRI imaging.

Postgraduate position in fNIRS and neurofeedback

• Posted by: Dr. Cornelia Kranczioch
• Posting date: Jun 14, 2023
• Where: University of Oldenburg, Germany
• More information at: https://uol.de/stellen?stelle=69625

We are looking for a postgraduate associate with an interest in the use of functional near infrared spectroscopy (fNIRS) for neurofeedback. The primary project will focus on fundamental methodological limitations that so far significantly limit the reach of fNIRS real-time applications such as neurofeedback. Of particular concern is evaluating the performance of real-time fNIRS data cleaning procedures and conclusions for reliable, standardized real-time processing. The project is funded for two years.

The ideal candidate will have completed a master’s degree and will have three or more years of postgraduate working experience in a related research field. 

PhD/PostDoc at TU Berlin – Electronics Engineering and ML for Wearable Brain-Body Imaging

• Posted by: Dr. Alexander von Lühmann
• Posting date: May 30, 2023
• Where: TU Berlin/BIFOLD
• More information at:  TUB IV-340/23 |  IBS Lab | LinkedIn

The independent research group “Intelligent Biomedical Sensing (IBS)” headed by Dr.-Ing. Alexander von Lühmann is hiring!
We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation – towards personalized digital health.
The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG).

Working field:

  • Independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications.
  • Design and implementation of innovative wearable and miniaturized opto-electronic hardware for multimodal brai-nbody imaging using diffuse optics and biopotentials.
  • Development of multimodal machine-learning-based sensor fusion methods for signal analysis, signal decomposition and inference from wearable physiological sensor data

Requirements:

  • Successfully completed university degree (Master, Diplom or equivalent) with excellent grades in electrical or biomedical engineering, embedded systems engineering, opto-physics, or a similar technical subject. Doctoral degree desirable but not required.
  • Strong competence in the development of (opto)electronic circuits and layouts from circuit diagram to pilot series (experience with CAE and CAD software).
  • Sound knowledge of microcontrollers and mixed-signal circuits

Employer: TU Berlin/BIFOLD

Salary grade: TV-L 13 Berliner Hochschulen

Starting date: at the earliest possible

Closing date: 23.06.2023

Postdoctoral fellow in fNIRS

• Posted by: Dr Heather Bortfeld
• Posting date: Mar 20, 2023
• Where: University of Maryland, Baltimore, USA.
• More information at: aisaiah@som.umaryland.edu

A postdoctoral fellowship position is immediately available in the Isaiah Laboratory at University of Maryland, Baltimore. The postdoctoral fellow will assist in collecting, analyzing, and presenting functional near-infrared spectroscopy (fNIRS) data from children with sleep-disordered breathing (SDB). The broad aims are to investigate the neurobiological outcomes of pediatric SDB. The lab collaborates nationwide with expertise in SDB, cognitive neuroscience, neuroimaging, and data science, assuring career development in these areas. The fellow is expected to have strong technical skills in fNIRS data and MATLAB. Human research experience, especially in children, is desirable.

The Isaiah Laboratory is based within the Department of Otorhinolaryngology—Head and Neck Surgery at the University of Maryland, Baltimore. The group and the institution provide an outstanding personal and professional development environment. The position is funded by the National Institutes of Health (NIH). Applicants should submit a CV, a research statement, a career development plan, a detailed description of their skills, details of their doctoral training, and three references, as a single pdf document.

20 months PostDoc on Portable and Personalized Neurofeedback for Stroke Rehabilitation: Multimodal EEG-fNIRS Neurofeedback

• Posted by: Dr Pierre Maurel
• Posting date: Mar 6, 2023
• Where: Rennes, France
• More information at: https://www.irisa.fr/offres-emploi/2023-03/portable-and-personalized-neurofeedback-stroke-rehabilitation-multimodal-eeg

Neurofeedback (NF) consists in presenting a person with a stimulus directly related to his or her ongoing brain activity. NF can be used to teach subjects how to regulate their own brain functions by providing real-time sensory feedback of the brain “in action”. Recent studies showed that NF is promising for the treatment of various neuronal pathologies. Electroencephalography (EEG), which has historically been the preferred modality for NF, suffers from a lack of specificity, preventing the transfer of this treatment to clinical use. On the other hand, functional Magnetic Resonance Imaging (fMRI) has a good specificity, but it is a cumbersome and expensive modality, making it difficult to develop personalized protocols. In this project, called PEPERONI and involving two PhD students and two post-docs (including this one), we aim to develop a methodological and experimental framework opening the door to a more portable and personalized NF, for easier and effective clinical use, with a focus on post-stroke motor rehabilitation.

The post-doc will be part of the Empenn team (ERL U1228 Inserm-Inria-CNRS-UR1) and will work in collaboration with the neurinfo platform
https://team.inria.fr/empenn/
https://project.inria.fr/neurinfo/fr/

PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging

• Posted by: Dr. Alexander von Lühmann
• Posting date: Mar 3, 2023
• Where: TU Berlin/BIFOLD
• More information at:  IV-112/23 | BIFOLD | IBS Lab

The independent research group “Intelligent Biomedical Sensing (IBS)” headed by Dr.-Ing. Alexander von Lühmann is hiring!
We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation – towards personalized digital health.
The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG).

Working field:

  • Independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications.
  • Exploration of models and methods for physiology-informed multimodal brain imaging and single-trial analysis
  • Development of multimodal machine learning-based methods for signal analysis, signal decomposition and identification of physiological transfer functions
  • Scientific publishing, pursuit of doctoral degree is possible.
  • Teaching duties

Employer: TU Berlin/BIFOLD

Salary grade: TV-L 13 Berliner Hochschulen

Starting date: at the earliest possible

Closing date: 24.03.2023

Postgraduate (Postbac) Associate – Language Learning and Multisensory Brain Lab

• Posted by: Drs. Richard Aslin, Sara Sanchez-Alonso and Nicholas Turk-Browne
• Posting date: Feb 2, 2023
• Where: Child Study Center of Yale’s School of Medicine
• More information at: N/A

Qualified individuals with a BA/BS degree are invited to apply for a full-time Postgraduate Associate (PGA) position in the Child Study Center of Yale’s School of Medicine. The successful candidate will work with the three project directors on a research study supported by a National Science Foundation grant entitled “Development of language-related neural networks using multimodal imaging.” The NSF grant uses both fMRI and fNIRS, simultaneously and separately, to measure functional brain connectivity in infants and children ranging in age from 12 months to 7 years.

Drs. Aslin and Sanchez-Alonso are members of the Language-Learning and Multisensory Brain (LLAMB) lab, co-directed by Dr. David Lewkowicz (https://llamblab.haskins.yale.edu/). The LLAMB lab investigates the cognitive and neural bases of language learning and development using behavioral (eye-tracking) and neuroimaging (fMRI, EEG and fNIRS) techniques in typically developing infants, children, and adults, and in collaboration with Dr. Katarzyna Chawarska studies of toddlers with Autism. Dr. Turk-Browne is the Director of the Wu Tsai Institute (https://wti.yale.edu/) and uses cutting-edge neuroimaging methods to study learning and memory in adults and infants (https://ntblab.yale.edu/).

Mentorship. Under the primary mentorship of Dr. Richard Aslin, the PGA will be guided through project tasks which include: (1) all aspects of research such as data collection, analyses, writing, and academic presentations; (2) coordinating participant recruitment and human subjects protocols under the direction of Dr. Sara Sanchez-Alonso; (3) gaining knowledge about general aspects of neuroimaging techniques under the direction of Dr. Nicholas Turk-Browne, including the opportunity to sit-in on lectures and workshops, and (4) attending meetings with collaborators who assist the research team in carrying out their grant-support research.

Training. The LLAMB lab has weekly meetings where participants discuss recent research articles on various aspects of behavioral and neural development. The Turk-Browne lab also has weekly meetings where students present their on-going research projects. The PGA will attend these meetings, learning from our colleagues, and have the opportunity to present their own research as they become engaged in specific projects. Past PGAs have been co-authors on joint publications and have presented their work as posters at scientific conferences. Opportunities to attend technical workshops and summer schools are also encouraged. The three co-directors offer informal seminars that cover many professional development topics, including (a) graduate school preparation and networking/professional engagement; (b) research design, methodology, and statistical analysis; and (c) diversity, equity, and inclusion in research and practice.

Eligibility Requirements. The successful candidate will work with Drs. Aslin, Sanchez-Alonso, and Turk-Browne, their postdoctoral fellows, graduate students, and other staff members to plan and execute data collection for the NSF grant and other on-going projects in their labs. The position involves on-site data collection at both the LLAMB lab and the multi-modal imaging facilities in the Discovery Center of the Wu Tsai Institute (https://wti.yale.edu/resources/human-brain-discovery) using both fNIRS and fMRI methodologies. The LLAMB lab and the Discovery Center are in adjacent buildings connected by a skyway. Recruitment of infant and child participants is facilitated by the Yale Baby School (https://babyschool.yale.edu/), a collaboration with the Yale Child Study Centerand the Yale Psychology Department.

Requirements for this position include:

  • BA or BS in Psychology, Cognitive Science, Neuroscience or related fields
  • Experience with neuroimaging techniques (EEG, fMRI, or fNIRS)

Additional relevant skills include:

  • Experience with human research, particularly with infants or children
  • Experience with neuroimaging data analysis software (e.g., FSL, Freesurfer, MNE, NeuroDot)
  • Experience with statistical analysis (e.g., SPSS, R, Matlab)
  • Experience with eye-tracking devices (Eye-Link, Tobii)
  • Experience with experimental presentation software packages (e.g., E-Prime, Presentation, PsychoPy)
  • Experience with on-line data collection platforms (Mturk, Prolific, Lookit)
  • Experience with data management software (e.g., FileMakerPro, REDCap, Qualtrics)

The anticipated start-date is July 1, 2023. Please note that the university has a COVID vaccination and booster requirement for all students, staff & faculty which is described in the COVID-19 Vaccine Program. You are required to comply with the Vaccine Program prior to the first day of your Yale appointment. Should you not be eligible for the Booster at this time, you will be required to receive your booster within seven (7) days of your eligibility. Please see the Yale COVID-19 Vaccine Program for information on how to schedule a vaccination and/or how to Submit or Confirm your vaccination documentation. For up-to-date university information on COVID-19, please visit: https://covid19.yale.edu/.

Application Process. Interested applicants should contact Dr. Richard Aslin by email with a cover letter, resume, copy of (unofficial) transcripts, and the names of three potential references (richard.aslin@yale.edu). Please note “PGA position”, in the subject line of your email. Review of applications will begin on March 15 and the position will remain open until filled.

This is a 1-year position, but we expect funding to continue for at least 2 years and encourage applicants to commit to a 2-year appointment, which is advantageous for creating a strong resume for admission to PhD programs and further career development.

Compensation is commensurate with skills and experience. Yale University is an Equal Opportunity Employer.

Postdoc position BCBL – Real-time CVR mapping with fMRI & fNIRS

• Posted by: César Caballero Gaudes
• Posting date: Jan 23, 2023
• Where: Basque Center on Cognition, Brain and Language (BCBL), San Sebastian-Donostia, Spain
• More information at: https://www.bcbl.eu/en/join-us/job-offers/funded-postdoctoral-position-signal-processing-neuroimaging-group

The Signal Processing in Neuroimaging research group at the BCBL is looking for a motivated postdoctoral researcher in the development of a neuroimaging platform using fNIRS or fMRI for the rapid computation (i.e., on-the-fly or in real-time) of cerebrovascular reactivity (CVR) maps. The project will involve: i) implementing methods for real-time physiological signal processing (end-tidal CO2, cardiac pulse, respiration), ii) developing pipelines for real-time preprocessing of fMRI and fNIRS data, iii) computing cerebrovascular reactivity maps from the preprocessed physiological and neuroimaging data (fMRI or fNIRS) based on current methods already developed in the group; and iv) creating an interface for the visualization of QA reports and CVR maps. The ideal candidate would have excellent programming skills using Python and/or Matlab and proven experience in the preprocessing and analysis of fMRI and/or fNIRS data. Of particular interest to the research group is the latest evolution of fNIRS towards wearable and high-density systems, hence familiarity with instruments and methods for diffuse optical tomography (DOT) are considered a plus. Preference will be given to candidates with prior experience in real-time biomedical signal processing or neuroimaging applications (e.g., neurofeedback, brain-computer interfaces). 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. BCBL operates in a state-of-the-art facility equipped with a 3T MRI scanner (Siemens Prisma), a 8 emitters x 12 detectors fNIRS system, and is in the process of acquiring an HD-DOT instrument.

The selected candidate will also have the opportunity to integrate into other projects of the group and pursue collaborations within the team, the BCBL, as well as our international collaborators. The SPIN BCBL provides an inclusive and supportive environment with plenty of opportunities for career growth, scientific and cultural curiosity, and community involvement, depending on the candidate’s skills and aspirations. We welcome all applicants.