1. Postdoctoral Fellow - Center for the Developing Brain at the Child Mind Institute, New York

ORGANIZATIONAL SUMMARY The Child Mind Institute (CMI) is a non-profit organization dedicated to transforming mental health care for children everywhere. We are committed to finding more effective treatments for childhood psychiatric and learning disorders, building the science of healthy brain development, and empowering families with help, hope and answers.

JOB SUMMARY CMI is recruiting a postdoctoral fellow interested in the study of human brain function and the characterization of brain development and maturation in clinical and non-clinical populations. Overarching goals of our work include: 1) the delineation of psychiatric illness in terms of neuroscience, 2) the identification of objective imaging-, phenotypic- and genetic-based markers of pathology, which will eventually serve to facilitate the detection of psychiatric illness and/or guide clinicians in the selection of treatments and determination of treatment response, 3) exploration of the impact and utility of emerging intervention techniques (e.g., tDCS/tACS, TMS). Fellows will be expected to take a multidisciplinary approach to their work, drawing from a broad range of disciplines (e.g., clinical psychology, cognitive neuroscience, computer science, engineering, mathematics, neuropsychology). In order to facilitate this process, they will work as part of a multidisciplinary team, integrating findings obtained from a variety of imaging approaches including: resting state functional MRI, tDCS/tACS, TMS, simultaneous EEG/fMRI, diffusion tensor imaging, cortical thickness, and volumetrics.

This position reports to Dr. Michael Milham, Director of the Center for the Developing Brain. This is an exempt, full-time position located in our NYC headquarters office.

RESPONSIBILITIES • Work to identify objective markers of pathology in human brain function, development and maturation using a combination of imaging and stimulation approaches • Work in a multidisciplinary environment, drawing from a broad range of disciplines and imaging approaches

QUALIFICATIONS • Completed PhD in biomedical engineering, computer science, cognitive neuroscience, clinical neuroscience, clinical psychology, mathematics, neuropsychology or related fields • Significant prior neuroimaging experience with one or more imaging modalities (fMRI, DTI, MRI, EEG, MEG) • Strong skills in the usage of one or more common functional neuroimaging packages (e.g., AFNI, FSL, or SPM) • Programming experience in one or more languages (e.g., Python, C/C++, Matlab or similar platforms is required). The candidate must be willing to develop expertise in Python during the first year of the fellowship. • Significant prior neuroimaging experience with one or more stimulation modalities (tDCS, tACS, TMS) is a plus, but not required • A passion for the CMI mission

APPLICATION DETAILS Click here to apply: https://home.eease.adp.com/recruit2/?id=13420431&t=2. Please upload cover letter and resume as one document in the resume section on the application site.

For questions regarding this position, please contact Dr. Michael Milham at Michael.Milham@childmind.org. No phone calls or recruiters, please.

Employment at Will Relationship: This position description does not constitute a guarantee that employment will continue for any specified period of time. Rather, employment is at the mutual consent of the employee and CMI, and can be terminated at will by the employee or by CMI.

CMI reserves the right to modify the job description and/or reporting relationship at any time.

CMI is an Equal Opportunity Employer, and is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply.

To learn more about the Child Mind Institute, please visit www.childmind.org.

======================================== 2. HILD MIND INSTITUTE: RESEARCH ASSISTANT OPENING

ORGANIZATIONAL SUMMARY The Child Mind Institute (CMI) is a non-profit organization dedicated to transforming mental health care for children everywhere. We are committed to finding more effective treatments for childhood psychiatric and learning disorders, building the science of healthy brain development, and empowering families with help, hope and answers. CMI makes use of innovative MRI- and EEG-based imaging approaches to characterize brain maturation across the lifespan, with a particular focus on understanding the impact of psychiatric illnesses on maturational processes. Additionally, CMI is dedicated to the support of open-datasharing initiatives, such as the 1000 Functional Connectomes Project.

JOB SUMMARY The Child Mind Institute is recruiting a Research Assistant to assist in a number of initiatives underway, as we work to integrate research into our clinical practice. Responsibilities will include: 1) assistance in the development of informatics systems and tools, which are being designed to specifically capture relevant data in a standardized way across clinical centers, 2) conduct of electroencephalography (EEG) studies, and assistance with the analysis of data, 3) coordination of functional MRI-based imaging efforts. Applications are currently being invited for a 2-year position available at the Child Mind Institute, under the direction of Michael Milham, MD PhD. The CMI fosters a collaborative environment where research assistants have the opportunity to gain excellent clinical and research experience, with the potential for publication.

RESPONSIBILITIES · Assist in EMR system development and maintenance activities · Assist with database development and management · Work closely with the clinical-research integration team to understand workflow and organizational goals · Work with brain imaging and electrophysiology researchers to carry out data-collection and analysis that include EMR outputs · Facilitate open science data-sharing initiatives

QUALIFICATIONS · B.S. / B.A. in Biomedical Engineering, Computer Science, Neuroscience, Information Systems, or other related scientific fields · Prior research experience preferred · Good understanding of information technology oriented methods and approaches · Programming experience with one or more languages (Python, Matlab, C/C++ or SQL) · Strong interpersonal skills, as well as strong written and oral communication

Anticipated start date: June 2015

For more detailed information and the online application form, please visit: http://www.childmind.org/en/research-assistant-position-2015/

======================================= 3. Research Assistant in Developmental Neuroscience (Emotion and Language)

We are looking for one full-time research assistant to support an ongoing longitudinal project investigating emotion and language development in 5-12 year olds (possibility for shared part-time position with an engagement of at least 40%). Applicants are required to have a strong interest in neuroimaging and developmental research questions and need to be able to work with young children and families. Previous background in study conduction and programming are desirable, but not required. Job duties include re-inviting and scheduling families from an existing database, writing ethical applications, task development, standardized testing and assistance during pediatric neuroimaging sessions, data organization, entry and analysis. German language skills are required in order to work with the families. This position is currently restricted to one year, but future funding applications within the project are supported. Workplace is within the research facilities of the Child and Adolescent Psychiatry and University Hospital in Basel. For more information and to apply, please send a CV and motivational letter to Dr. Nora Raschle using the subject line “RA kids study” (nora.raschle@upkbs.ch). Salary is paid on an hourly basis (25CHF/h) and will be around 4000CHF/month in a full-time setting.

===========================

4. Research/Technical Assistant in Functional and Structural Neuroimaging Analysis

We are looking for one full-time research/technical assistant to support ongoing neuroimaging projects investigating brain structure and function in children and adolescents with and without conduct disorder (DTI/fMRI/sMRI) (possibility for part-time position with an engagement of at least 60%). Applicants are required to have a strong interest in neuroimaging research and previous background in MRI analysis techniques and/or programming are beneficial (e.g. comfortable working in linux/MATLAB environment, SPM, FSL, python). Job duties include neuroimaging data organization and analysis and support in manuscript preparation. This position is currently restricted to one year, but future funding applications within the project are supported. Workplace is within the research facilities of the Child and Adolescent Psychiatry and University Hospital in Basel. English or German language skills are required. For more information and to apply, please send a CV and motivational letter to Dr. Nora Raschle using the subject line “RA tech” (nora.raschle@upkbs.ch). Salary is dependent on previous experience and employment times, starting around 4000CHF/month for a full-time setting.

===============================================

5. The Division of Newborn Medicine at Boston Children’s Hospital / Harvard Medical School invites applications for a Research Technologist. The successful candidate will carry out studies on human brain development by using a combination of different neuroimaging techniques, such as MEG, EEG and DTI. The focus of the studies is two common pediatric neurological disorders: epilepsy and cerebral palsy. Previous experience with MEG and/or multichannel EEG data analysis skills is required. A candidate for this research position may hold a MSc or a PhD degree, e.g., in neuroscience, biomedical engineering, or a related field in engineering. Experience in the acquisition of neuroimaging data or with the analysis of DTI or fMRI data is an advantage. Appointments will be normally made for one year with a possibility to extend depending on further funding. This position is best for a person interested in neuroimaging data analysis from newborns, babies and children. Below is a description of the responsibilities and minimum and preferred qualifications.

Responsibilities:

Experimental setup of pediatric neuroimaging studies. Acquisition/collection of MEG and related data (i.e. EEG, EOG, etc) from healthy as well as sick newborn, babies, and children. Analysis and evaluation of MEG and related data by using sophisticated software analysis tools such as BrainStorm, MNE, FieldTrip, SPM, etc. Modification of neuroimaging tools to adapt to the specific project requirements.

Minimum qualifications:

MSc in the area of Neuroscience, Biomedical Engineering, Computer Engineering or a related field in engineering. Proven familiarity with MEG/EEG apparatus. Basic understanding of the electromagnetic theory for signal analysis. Excellent Matlab and/or Python programming skills and demonstrated experience with Linux operating system. Previous experience in Biomagnetic research is not required but it will be preferred. Fluency in English since there will be frequent interactions with the family members as well as children. Abilities to relate to children and their parents are essential.

Conditions of Employment:

Salary: commensurate with education and experience (50-60K$). BCH has excellent benefits, including health benefits and retirement plans with employer contributions. BCH values diversity and is committed to equal opportunity in employment.

How to Apply Please send a cover letter and a recent CV to the following address (either by post or email): Christos Papadelis, PhD Boston Children’s Hospital / Harvard Medical School 9 Hope Ave, Waltham MA 02453, USA E-mail: christos.papadelis@childrens.harvard.edu Phone: +1-781-216-1128

===============================

6. Research Fellow/Senior Research Fellow University of Southampton - Human Sciences Research Unit Location: Southampton Salary: £28,695 to £40,847 per annum Hours: Full Time Contract Type: Contract / Temporary

Placed on: 19th May 2015 Closes: 18th June 2015 Job Ref: 568215KR

Fixed Term Until 30/06/2018

Personalized fitting and evaluation of hearing aids with EEG responses

This is an exciting opportunity to work on an EPSRC funded project joint between the Universities of Southampton, Manchester and Imperial College, London. The project aims to optimise hearing aid devices for individuals based on the analysis of neurophysiological responses to complex auditory stimuli and especially speech.

We aim to develop algorithms and associated experimental protocols for personalized hearing aid fitting, based on stimuli that patients consider realistic and challenging. The vision is to reduce the reliance on subjective, voluntary responses, and move to more objective approaches based on neurophysiological responses. Objective approaches have the advantage that they can be carried out in patients who are unable to provide such voluntary responses, for example infants or the elderly with dementia. Also by monitoring hearing without constant interruption to assess patients’ perception, the performance of the hearing aid can be assessed in more natural listening conditions and over a longer time scale than is typically available in audiology clinics. This approach would be applied at the initial stage of hearing-aid fitting, in evaluation of fitting and in the longer term, adapting the system to changing acoustic environments and changing user requirements.

The project objectives are:

1) Propose, assess, and recommend stimuli to use in assessing hearing performance and access to speech

2) Propose, assess, and recommend signal processing and analysis methods to extract information on access to speech from Electroencephalogram (EEG) signals, using a minimum number of channels necessary.

3) Assess if responses in the EEG to real-world stimuli are sufficiently sensitive and robust (within a reasonable time-duration of tests) to provide the foundation for the development of clinical procedures

4) Propose, assess, and recommend algorithms to optimize hearing aid fitting, based on parameters extracted from EEG stimulus responses

5) Assess the feasibility of using this approach in infants and other patient groups.

The project team includes Dr Steven Bell, Professor David Simpson, Dr Karolina Kluk-de-Kort, Dr. Tobias Reichenbach, Dr Ben Lineton and Dr Patric Naylor from the industrial partner Interacoustics. The team has expertise in biomedical signal processing, clinical audiology, electrophysiology, and speech processing. Post-doctoral researchers will join each of the centres for three years and become part of the interdisciplinary team working on this project across the centres. This is an exciting multidisciplinary project that aims to ultimately improve patient care.

You must have expertise in biomedical signal processing, preferably with experience in the analysis of EEG signals and/or audiology. Hands-on experience with the analysis of signals from patients, healthy volunteers, or animals, and knowledge of signal processing approaches is essential.

For the level 4 Research Fellow role applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Application Procedure

You should submit your completed online application form at www.jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Geraldine Lewis (Recruitment Team) on +44 (0) 23 8059 2507. Please quote reference 568215KR on all correspondence.

We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.

==================================

7.

Hi

please could you circulate this to potentially interested parties. QUT is strongly prioritizing Behavioural Neuroscience and Imaging in view of their partnership in the new Herston Imaging Research Facility (http://www.uq.edu.au/news/article/2012/06/new-herston-imaging-research-facil...). I am happy to advise anyone who is interested in applying.

cheers

Pat Johnston patrick.johnston@qut.edu.au

Vice-Chancellor's Research Fellowship Scheme - Queensland University of Technology

Vice-Chancellors Research Fellowship Scheme

QUT is offering up to 20 Vice-Chancellors Research Fellowships for leading postdoctoral researchers at Level B and C on a three year fixed-term basis. These prestigious fellowships are available in the following target areas:

Behavioural Neuroscience and Imaging Infectious Disease Injury Prevention, Management and Rehabilitation Medical Robotics Bioproducts Digital Productivity Data Science, Computational Modelling and Simulation Science Integrated STEM Education for the Young Design and Health Technology, Strategy and Innovation Intellectual Property Sustainable Power Engineering

When applying for this position you are required to:

Upload your Curriculum Vitae (maximum 10 pages) and demonstrate as part of your CV your personal achievement in relation to the topics in selection criteria 1 in the guidelines. Provide a detailed research project proposal (maximum 8 pages) and indicate that prior contact and confirmation of the suitability of the proposed project has been discussed with the relevant Assistant Dean (Research) and/or Institute Director. The requirements of the research project proposal can be found in selection criteria 2 in the guidelines. For Research Fellows only (Level C) upload your statement of claims (maximum 2 pages) including examples outlining your suitability for the role referring to selection criteria 3 in the guidelines.

How to apply:

If you have NOT registered with our Online Application System, you can begin your Application by clicking the 'Begin' button. If you are unsure if you have registered before, click here and follow the steps.

https://qut.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplication...

======================