ynic-users December 2014

ynic-users@ynic.york.ac.uk

1 participants
42 discussions

by Gary Green

Post-doctoral Fellow Position A post-doctoral fellowship is available in the laboratory of Dorina Papageorgiou, Ph.D., MHSc at Baylor College of Medicine to study cortical plasticity and repair in patient populations, as a result of neurological injury and/or disease. We use real-time fMRI neurofeedback methods to study cortical visual system rehabilitation and speech rehabilitation in patients with neurological injury, such as stroke, traumatic brain injury, or cancer. We have relied heavily on highly quantitative methods, such as population receptive field, fMRI multivariate and univariate analyses, and have utilized a variety of innovative approaches to address our questions, including support vector machine analyses. Additionally, we have gained insights from highly individualized cortical and subcortical neuro-rehabilitative approaches. The work promises to be challenging, but also presents an exciting opportunity to gain an understanding of the neurofeedback methods involved in various patient populations depending on the domain of brain function lesioned, such as in visual, speech, attention, and pain-associated networks. Trainees will benefit from the Center for Advanced MR Imaging at Baylor College of Medicine, which includes a state-of-the art imaging facility with four research-dedicated 3 Tesla MR scanners. (1 Siemens Allegra (head-only) and 3 Siemens Trio), a high speed private network, a database with web-based access, independent computing facilities, real-time fMRI capabilities. Minimum Job Experience: PhDs with a background in any of the following disciplines: Neuroscience, Biomedical Engineering, Engineering, Bioinformatics, Computer Science, or (Bio-)Physics with expertise in scientific programming: C/C++, Matlab/Python programming and Unix environment. The applicant should be highly motivated with a flexible work schedule.

10 years, 4 months

Fwd: Computational scientist/software developer position

by Gary Green

A computational scientist position is available in the laboratory of Dorina Papageorgiou, Ph.D., MHSc at Baylor College of Medicine (U.S.A.) to study cortical plasticity and repair in patient populations, as a result of neurological injury and/or disease. We use real-time fMRI neurofeedback methods to study cortical visual system rehabilitation and speech rehabilitation in patients with neurological injury, such as stroke, traumatic brain injury, or cancer. Eligibility Requirements: 1) A Bachelors or Masters of Science in any of the following disciplines: Bioinformatics, Engineering, Biomedical Engineering, Computer Science, or (Bio-)Physics. 2) Scientific programming experience in C/C++ and, Matlab/Python programming and Unix environment 3) Strong interest in any the following areas: machine learning fMRI acquisition and analysis brain-computer interfaces real-time fMRI neurofeedback methods multivariate and univariate pattern analysis functional/effective connectivity computational modeling 4) Good English communication skills (both written and verbal) 5) Excellent organizational and analytical skills. Ability to collaborate and work in a team. Job description: 1) Analysis of real-time fMRI neurofeedback data 2) Contribution to experimental design 3) User interface fMRI neurofeedback software development tailored for specific patient applications

10 years, 4 months

Fwd: PhD position (Decision Neuroscience) available at the University of Lübeck, Germany

by Gary Green

Dear all, I would like to draw your attention to the job posting below. Please note the application deadline (January 15th 2015). Thank you very much! ******************************************************************************** *Doctoral Candidate (m/f) (50% E13 TV-L)* We are looking for a doctoral candidate, who will join the team of the newly established laboratory “Social Psychology/Decision Neuroscience” (Prof. Dr. Soyoung Q Park) in the Institute of Psychology, at the University Lübeck, Germany. ** This position is for a period of 3 years. The goal of the lab is to investigate the neural mechanisms underlying decision making in the human brain with the help of structural and functional MRI, EEG and brain stimulation. The focus lies on economic decisions and decisions in social contexts. The research center at the University of Lübeck offers excellent state-of-the-art interdisciplinary research facilities and extensive possibilities to international collaborations. Successful candidate must hold a degree (Diplom/Master) in psychology or in related fields (economics, cognitive science, biology, neuroscience, engineering or other). Experience in acquisition and analysis of human neuroimaging data (fMRI, EEG or MEG) are desired (e.g. SPM). Excellent programming skills in Matlab, advanced statistical analysis and experiences in behavioral modelling will be preferred. Interest and/or experience in the field of decision neuroscience are obligatory. We are looking for a highly motivated candidate who enjoys team work and is self-organized. The salary level will be adjusted according to the salary scheme of E13 TV-L. The conditions of this position equate 50% of a E13 TV-L position. The position will be filled as soon as possible. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Applicants with disabilities are preferred if qualification is equal. We explicitly ask for applications without photographs. The University of Lübeck welcomes the applications from people with a migration background. For questions about the details of the assignment please contact Prof. Dr. Soyoung Park (park(a)ipsy.uni-luebeck.de <mailto:park@ipsy.uni-luebeck.de>). Please send your application with all necessary documents as one single complete PDF file to the Email-address mentioned above. An additional version with the reference number 1034/14 must be sent to the following address until *15. January 2015*: *Universität zu Lübeck – Der Präsident – Dezernat Personal* *Ratzeburger Allee 160, 23562 Lübeck, Germany*

10 years, 4 months

Fwd: Job Announcement: postdoc, CMRR

by Gary Green

The Department of Radiology at the University of Minnesota seeks a post-doctoral associate to be part of the Human Connectome Project (HCP) (and sub-projects; http://www.humanconnectome.org). The successful candidate will be employed in the component of the HCP that focuses on optimization of data acquisitions and data analysis for resting state and task induced fMRI (R/T-fMRI), and for high angular resolution diffusion imaging (HARDI) in different subject populations. They will be responsible for: 1) Data acquisition and optimization at 3T and 7T. 2) Testing, debugging and optimizing pulse sequences and associated image qualities at 3T and 7T 3) Resting state and Diffusion Data pre-processing and analysis. Requirements for this position are: Essential Experience: Ph.D. or equivalent in physics, computer science or biomedical engineering, or in neuroscience with extensive experience in neuroimaging. Must be highly independent and self-motivated, but at the same time able to work within a Multi-Institutional team. Experience with fMRI data Analysis. Experience with Siemens MR operating systems, including data acquisition at high field. The candidate must present excellent analytical, problem solving and interpersonal skills Preferred Experience: Experience in the development and use of Pulse Sequences in the Siemens Platform. Excellent written and oral communication skills. Applicants for this position must submit a curriculum vita and three references to: Dr. Essa Yacoub Center for Magnetic Resonance Research 2021 6th Street SE Minneapolis, MN 55455 yacoub(a)cmrr.umn.edu <mailto:yacoub@cmrr.umn.edu> For additional information see: https://employment.umn.edu/applicants/jsp/shared/search/Search_css.jsp Requisition Number 195139

10 years, 4 months

Fwd: Postdoctoral Positions on Medical Image Analysis

by Gary Green

Several postdoctoral positions are available in the Department of Biomedical Engineering, Shenzhen University (SZU). Image Registration: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or related majors, preferably with emphasis on image processing and computer vision. Experience on medical image registration and analysis is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of 3D/4D/group-wise image registration methods. Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of segmentation methods for brain segmentation and surface reconstruction. These positions are created in cooperation with Biomedical Research Imaging Center (BRIC) at the University of North Carolina at Chapel Hill (UNC). Fluent English is a must for the applicant. The candidate is expected to work in both SZU and UNC. The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists. We offer competitive salaries & benefits. If interested, please contact Dr. Dong Ni (nidong(a)szu.edu.cn <mailto:nidong@szu.edu.cn>).

10 years, 4 months

Fwd: Postdoctoral opening for MR physicist at Spinoza Centre for Neuroimaging (Amsterdam, The Netherlands)

by Gary Green

The Spinoza Centre for Neuroimaging has a postdoctoral position available for an MRI Physicist / Scientist in Neuroimaging full time (38 hours/week) to develop innovative functional and morphological imaging methods for investigating the physical and biological basis of the brain in health and disease. Requirements The research will be performed with state-of-the-art human 3T and 7T MRI scanners. The candidate holds a Ph.D. in physics, engineering, or related field. Solid knowledge of NMR/MRI physics and experience in MRI pulse sequence development are essential, as is hands-on experience with ultra-high field MRI. Skills in mathematics, scientific computing, and programming are desirable. The position is ideal for those seeking opportunities to contribute to medical research in human subjects. The Spinoza Centre The SC offers a resourceful and stimulating scientific environment. The SC houses 3T and 7T whole-body Philips MRI scanners that are dedicated to research. The candidate will have full access to resources at SC for research and career development. She or he will have the opportunity and be supported to pursue independent research related to this position. (For full text download pdf here: https://www.dropbox.com/s/gixc6v5i2nzibsn/MRIpostdoc_opening_SpinozaCentre_… ) Kind regards, Pieter Buur Pieter F. Buur, PhD MR physicist Spinoza Centre for Neuroimaging www.spinozacentre.nl Meibergdreef 75 1105 BK, Amsterdam The Netherlands Tel +31 20 5665500

10 years, 4 months

Fwd: [Eeglablist] Postdoctoral Position in Neuromuscular Rehabilitation and Neuroimaging

by Gary Green

Applications are now being accepted for a Postdoctoral Fellowship position at the Human Performance and Engineering Lab at Kessler Foundation, West Orange, NJ in collaboration with New Jersey Medical School of Rutgers University. The 2-3 year program prepares biomedical scientists, including engineers (e.g. biomedical, electrical, rehabilitation), neuroscientists, kinesiologists, and those in related fields, for a career in rehabilitation research within the specialty area of neuromuscular rehabilitation. The successful candidate will work principally on a 5 year NIH funded research study aimed at investigating the neurophysiological effect of mental and physical training on mitigating cancer- and/or cancer treatment-related weakness. The successful applicant will also be expected to develop his/her own mentored research project as well as have the opportunity to work on other projects in neuromuscular rehabilitation in diverse patient populations including traumatic brain injury, multiple sclerosis, spinal cord injury and stroke. He/she will work on various aspects of research projects from inception (e.g., study formulation, grant-writing, etc.), through dissemination (conference presentation and manuscript publication). Opportunities of collaborating with clinicians on existing or future clinical research are also available. All fellows participate in an extensive training curriculum and didactic offerings. Multidisciplinary mentored training opportunities are individually tailored to achieve specific goals considering each fellowâ??s prior background and interests. Applicants with specific interests and/or experience in the following areas are highly encouraged to apply: Neuromuscular rehabilitation; biomedical signal processing (e.g., EEG, TMS and EMG); brain and muscle electrophysiology; functional and structural MRI. Qualified candidates must have an earned doctorate in biomedical engineering, neuroscience, kinesiology or a related field with a background in signal processing or/and image processing (EEG, MRI, fMRI). Working knowledge of at least one programming language is mandatory. Preferences will be given to candidates with expertise in Matlab programming as well as image processing software such as EEGLAB, FSL, AFNI. Strong candidates will have prior experience in performing research studies in human subjects, as well as some history of publication and presentation of original research. Additional desirable skills and experience include: experience with EEG/EMG data collection and analysis, biomedical instrumentation, ability to independently develop data processing/analysis methods, knowledge of statistical data analysis, and excellent written communication skills. The Kessler Foundation Research Center is a division of Kessler Foundation, a public charity that advances its mission of improving the lives of people with disabilities through research and grant-making programs. The Kessler Foundation Research Center is affiliated with the renowned Kessler Institute for Rehabilitation in West Orange, New Jersey and enjoys close collaborations with partners at the New Jersey Institute of Technology, Rutgers University, Seton Hall University, New York University, and the University of Delaware. Kessler Foundation is one of the few rehabilitation institutions in the United States who has a research dedicated state-of-the-art 3T Siemens MRI system at the Rocco Ortenzio Neuroimaging Center. This offers unique research opportunities and training in neuroimaging. Applicants are encouraged to visit the Foundation website (http://www.kesslerfoundation.org/research ) to learn about the missions, activities, and resources and its laboratories, in particular the Human Performance and Engineering Lab. Administration of the ARRT fellowships occurs under the Department of Physical Medicine and Rehabilitation at the New Jersey Medical School of Rutgers University in Newark. As such, fellows enjoy the benefits and academic resources available to all post-doctoral fellows at the Medical School. Fellows may also be recommended for an academic appointment at the rank of Instructor. Principal Investigator: Dr. Guang Yue, Ph.D. To apply, please send your CV, a letter of interest to Dr. Allexandre at dallexandre(a)kesslerfoundation.org <mailto:dallexandre@kesslerfoundation.org>. Please include the reference number â??HPEL01-eeglabâ?? in your application. APPLICATION DEADLINE: 2/15/2015 or until filled We are equal opportunity employers. Kessler Foundation Signature Kessler Foundation Facebook Page <http://www.facebook.com/?ref=home#%21/pages/Kessler-Foundation/123330414345…> Kessler Foundation You Tube <http://www.youtube.com/user/KesslerFoundation> Kessler Foundation Research Twitter Page <http://www.twitter.com/KesslerFound> The information in this transmission is intended for official use of the Kessler Foundation. It is intended for the exclusive use of the persons or entities to which it is addressed. If you are not an intended recipient or the employee or agent responsible for delivering this transmission to an intended recipient, be aware that any disclosure, dissemination, distribution or copying of this communication, or the use of its contents, is strictly prohibited. If you received this transmission in error, please notify the sender by return e-mail and delete the material from any computer.

10 years, 4 months

Fwd: PhD grant (funded for 3 years)

by Gary Green

Dear colleague, Please find below an announcement for a PhD grant in our university. Please forward to potential candidates. Don't hesitate to contact me for further information or problem.Â Merry Christmas and a Happy New Year! Jordi **** UVIC PhD fellowships A call for candidates for PhD fellowships funded by the UVICÂ has been issued <http://www.uvic.cat/beques-per-a-estudis-de-doctorat>.Â The deadline for applications is January 12th 2014, and the lines of research for which the fellowships can be taken at the EPS are: * Modern Signal Processing â?? SP Tools for Brain Data Enhancement and Analysis: The objetive of this project is to apply recently proposed SP models / algorithms and to develop new techniques for analysis and processing of brain data such as EEG, ECoG, functional MRI, diffusion tensor MRI, etc. Modern SP models and algorithms to be explored includes the following, but other approaches could be investigated too: - Sparse models and Compressed Sensing â?? CS - Matrix / Tensor decompositions - Low rank matrix / tensor models This project will be developed in collaboration with Dr. Cesar F. Caiafa (ccaiafa(a)gmail.com <mailto:ccaiafa@gmail.com>) from CONICET / University of Buenos Aires, Argentina. Interested candidates should send an email to Prof. Jordi SolÃ©-Casals (jordi.sole(a)uvic.cat <mailto:jordi.sole@uvic.cat>) including the following information: 1) CV (including the names and contact information of two referees) 2) Copy of the candidate academic records. 3) Letter of commitment 4) Optional: description of research interests related to the proposed project **** -------------- Jordi SolÃ©-Casals Head ofÂ Data and Signal Processing Research Group <http://mon.uvic.cat/eps/research/research-groups/research-group-on-data-and…> Polytechnic School <http://mon.uvic.cat/eps/> University of Vic - Central University of Catalonia <http://www.uvic.cat> C/ de la Laura, 13, 08500 Vic, CatalunyaÂ Tel: +34 93 881 5519 // Fax: +34 93 881 4307Â e-mail: jordi.sole(a)uvic.at <mailto:jordi.sole@uvic.at> twitter: @jsolecÂ Impactstory <https://impactstory.org/JordiSole-casals> ResearchGate profile <https://www.researchgate.net/profile/Jordi_Sole-Casals/> Linkedin profile <http://www.linkedin.com/pub/jordi-sol%C3%A9-casals/5/400/82> ORCID <http://orcid.org/0000-0002-6534-1979>

10 years, 4 months

Vice-Chancellor's Fellowships Sheffield

by Gary Green

*Vice-Chancellor's Fellowships* Grade 8: £38,511 to £45,954 per annum, with potential to progress to £51,702 per annum through sustained exceptional contribution Open-ended with a start date of 1 October 2015 Ref: UOS009778 All faculties in the University of Sheffield Candidates are welcome to submit applications to hold this post in participating departments within any faculty or as an interdisciplinary researcher Location: Main Campus In order to maintain our position at the forefront of academia, Professor Sir Keith Burnett, Vice-Chancellor of the University of Sheffield, has created up to twenty Vice-Chancellor's Fellowship positions. These are open to candidates with a track record of the highest calibre research and who have the potential to be research leaders of the future in any academic area. Vice-Chancellor's Fellowships support researchers in the development of their programme of research. We particularly encourage: research proposals of an interdisciplinary nature that cross boundaries between different fields of research; pioneering proposals that address new and emerging fields of research; and proposals that introduce unconventional, innovative approaches and scientific inventions. As a Vice-Chancellor's Fellow, you will use your research, skills, knowledge and expertise to contribute and complement the aims of your Department. Your immediate priority will be to establish a programme of personal research, which will attract external funding, in order to develop research of international standing. You will build, lead and manage your programme of research, undertake a significant piece of publishable research, and commit significant time and effort in managing future research activity. You will develop your reputation through publication in the highest-quality journals (or other appropriate form of publication as appropriate to your discipline) and attendance at national and international conferences, along with a range of other professional activities. You will be an active contributor to the University's research community and will take on supervision and leadership roles commensurate with your skills and experience. You will supervise and provide pastoral care or guidance to students, and engage in teaching and administration duties associated with PhD supervision. You will be expected to work toward gaining Fellowship of the Higher Education Academy and will be expected to align your work to departmental teaching and administrative duties. You will help to raise the profile of the University through civic engagement activities. As a Fellow you will be both aspirational about your career and inspirational to others. You will place strong emphasis on your personal development by committing to a rigorous development plan. You must show the potential for research independence and evidence of research maturity. A PhD in a relevant subject area is essential. You must have produced and published at least one important publication without the participation of your PhD supervisor (at the time of application). You should demonstrate a promising track record of early achievements appropriate to your research field and career stage, including significant publications (as main author) in your respective field. You may also be able to demonstrate a record of invited presentations at well-established international conferences, and awards of grants and prizes. A Research Support Grant will be provided to support your preliminary research. The amount awarded will be decided on a case-by-case basis, and determined by your estimation of research 'running costs' in the first eighteen months of appointment. In all cases, £3,000 will be ring-fenced for costs associated with the publication and dissemination of your research. You will be supported individually and as a cohort, through monthly personal and professional development training. You will be mentored by an internationally excellent academic who is around ten years ahead in career terms. After the four-year Fellowship period of this post you will become a Lecturer or Senior Lecturer. These are open-ended appointments with a start date of 1 October 2015. For further information please go to: www.sheffield.ac.uk/ris/vcfellows/vcf2015 <http://www.sheffield.ac.uk/ris/vcfellows/vcf2015> *Closing date: 29 January 2015.* --

10 years, 5 months

Lecturers in Psychology

by Gary Green

*Lecturers in Psychology (Two posts) Ref: FST59* Starting salary from £32,277 - £37,394 per annum with further progression opportunities to £40,847 Bournemouth University is creating the most stimulating, challenging and rewarding university experience in a world-class learning community by sharing our unique fusion of excellent education, research and professional practice and inspiring our students, graduates and staff to enrich the world. Over the past five years Psychology has undergone a period of rapid expansion resulting in a vibrant research and learning culture. We currently have two research groups in 'Cognition' (with laboratories in Attention & Memory, Face Processing, and Visual Cognition) and 'Health and Wellbeing' (with specialisms in Eating Behaviour, Wellbeing in Older Adults, and Clinical Psychology). We also have emerging and potential research growth in Eye tracking, Cyberpsychology, Forensic Psychology and eHealth. Facilities supporting our teaching and research include mobile and static eye tracking, virtual environments, and a new state-of-the-art EEG laboratory. We are keen to receive applications from candidates who complement these areas of research strength and / or have experience of using such facilities. You will be qualified to Doctorate level or be able to demonstrate the ability to create and disseminate knowledge at an equivalent level and the capability to convert this knowledge into a doctorate in a maximum of 3-5 years from the date of appointment. You will be research active and committed to a culture of academic excellence and continuous improvement. For an informal discussion please contact Associate Professor Jacqui Taylor on 01202 965313 or email jtaylor(a)bournemouth.ac.uk <mailto:jtaylor@bournemouth.ac.uk> A detailed job description and person specification are available from our website together with an online application form. Alternatively, please telephone 01202 961130 (24 hour answerphone) quoting the appropriate reference. *Closing date: (midnight) Wednesday 21 January 2015*

10 years, 5 months

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ynic-users December 2014