An opportunity to study at both the Departments of Medicine and Computing is available at Imperial College London. Starting in October 2016, the studentship is part of the prestigious EPSRC Centre for Doctoral Training in Neurotechnology for life and health and involves an initial MRes year, before registering for a PhD in year 2. Our novel project focuses on using brain imaging and ageing biomarkers to predict biological age in the UKBiobank dataset. A systemic measure of biological age could have great utility in predicting health outcomes in the ageing population and will be implemented as a publich health tool. More details on the project and how to apply below. http://www.imperial.ac.uk/neurotechnology/cdt/projects/measuring_age/ James H Cole, PhD C3NL Division of Brain Sciences Department of Medicine Imperial College London ==================================== he German Center for Neurodegenerative Diseases (DZNE) is a center of excellence within the Helmholtz Association that performs translational research on Neurodegenerative Diseases. The center includes nine high-performing sites in Bonn, Berlin, Dresden, Göttingen, Magdeburg, Munich, Rostock/Greifswald, Tübingen and Witten. Within the area of clinical research we have a position for a PhD position (f/m) Neuro Image Analysis – Code 1347/2015/11 Description: You will work in an interdisciplinary team in Bonn focused on Clinical Research. Clinical research at the DZNE aims to investigate causes and preclinical biomarkers of neurodegenerative diseases, and to study normal and pathological brain structure and function in neurodegenerative diseases. To this end the team, led by Prof. Thomas Klockgether, Director of Clinical Research of the DZNE is currently establishing several clinical studies including MR-imaging in a multi-center and single site setting. The study facility in Bonn will encompass state-of-the art apparatus including 3T MRI scanners (Siemens Skyra) as well as a 7T MRI Scanner, advanced bio-banking program and large data storage and computational resources. We invite applications for a PhD project on multimodal brain imaging in Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the Clinical Research Group at the German Center of Neurodegenerative Diseases, DZNE, Bonn, Germany. Within the framework of multicenter studies the project aims to investigate the structural and functional trace of Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the human brain. Available methods include resting state fMRI, DTI and morphometry. Interested candidates are encouraged to develop computational modelling skills. Qualifications and experience: We are looking for highly motivated candidates with a Master’s degree (or equivalent) in neuroscience, psychology, biology, or a related field, and with a strong interest in neurodegenerative diseases. Programming skills in Matlab and experience with resting-state fMRI are an advantage. Demonstrable interest in quantitative research, strong analytical skills, ability for independent and critical thinking, and excellent communication and writing skills in the English language are a prerequisite. Creative, highly motivated and team-oriented candidates, who dare to take initiative and enjoy working in a fast-growing, dynamic research environment in an internationally oriented biomedical institution, are strongly encouraged to apply. We offer: - An interesting and challenging task in a research center that works on the future topics of health research - An international environment characterized by a strong focus on science and research - A high potential for the individual development of our employees - Targeted personnel development - A full-time position, initially temporary limited to two year - Employment, payment and social benefits are consistent with those at other research institutesJob location is Bonn, Germany. Common language at work is English or German. The DZNE is an equal opportunity employer. The DZNE especially welcomes and encourages disabled individuals to apply. Contact: Interested candidates should send their applications including CV with transcripts or degree certificates, a brief statement of research interests and contact details of two referees in a single file to: application(a)dzne.de References may be taken up as part of the candidate selection and prior to interview. Applicants who do not wish referees to be contacted without prior notice and consent should make this explicitly clear on their application. ============================== A PhD Studentship, "Learning to move in space and time: Multimodal imaging of the human cerebellum”, is available at the University of Nottingham, UK. Now open: An exciting opportunity to work in the HandLab using high-field (7T) magnetic resonance imaging (MRI) and transcranial magnetic stimulation (TMS). This is part of the IMPACT programme, under the "Imaging: Molecules to Man" theme. For more details, contact Dr Nick Holmes (nicholas.holmes(a)nottingham.ac.uk), and see the programme website below: DEADLINE: 10th January 2016 - apply ASAP! http://www.birmingham.ac.uk/research/activity/mrc-impact/index.aspx http://www.birmingham.ac.uk/research/activity/mrc-impact/imaging.aspx ========================= A PhD studentship „Identifying non-invasive imaging markers of neuroinflammation in treatment pharmacoresistant epilepsy“ is available in the Epilepsy Research Group (ERG) at the University of Liverpool, UK and is supervised by Dr Simon Keller and Prof Tony Marson. Please find all details about this position via this link: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=70289&LID=3417 Deadline: Friday, January 22, 2016 - apply ASAP! ================= for our brainstem/superior colliculus projects at the University of Tuebingen we are looking for two PhDs. The DFG-funded project will run for 3 years and use primarily fMRI and DTI at a 3T scanner. The full project description and further information are available on our webpage: https://homepages.uni-tuebingen.de//marc.himmelbach/Welcome.html. Applicants should submit their application documents (cover letter, CV, 2 references, publication list and master thesis, if available) by e-mail as a single pdf to Dr. Himmelbach. Applications will be considered until 31st January 2016. With kind regards, Marc Himmelbach Dr. Marc Himmelbach Division of Neuropsychology Hertie-Institute for Clinical Brain Research Centre for Integrative Neuroscience Hoppe-Seyler-Str. 3, D-72076 Tübingen Phone: ++49 (0)7071-29 86580 Fax: ++49 (0)7071-29 4489 http://homepages.uni-tuebingen.de/marc.himmelbach ===================================== Mind Research Network Postdoctoral Fellow – Job # 2015.180.M Summary A post-doctoral research position is currently available in Dr. Andrew Mayer’s laboratory at The Mind Research Network, Albuquerque, New Mexico location in the area of cognitive neuroscience. The candidate will work on several NIH-funded projects that use multimodal neuroimaging to study traumatic brain injury and psychosis spectrum disorders. Particular areas of focus include cognitive neuroscience studies of multisensory cognitive control, advanced modeling for diffusion MRI and mechanistic explorations of vascular integrity through multimodal imaging (i.e., task-related BOLD, pCASL, cerebral vascular reactivity and resting state data). Requirements A Ph.D. in neuroscience, psychology, computer science or a related field is required. The ideal candidate should possess a strong interest in working in both clinical and pre-clinical research settings, a strong publication record and experience in brain imaging (functional magnetic resonance imaging (fMRI), diffusion MRI, structural MRI, etc). Applicant must also have strong programming skills in Linux and one or more other languages (R, MATLAB, python, etc.). The position is for two years, with a third year extension possible. To apply, visit www.mrn.org and refer to Job # in the “Jobs” section of the website. Or contact Dr. Mayer directly at amayer(a)mrn.org. The Mind Research Network is an independent non-profit organization dedicated to advancing the diagnosis and treatment of mental illness and brain injury. Headquartered in Albuquerque, New Mexico, MRN consists of an interdisciplinary association of scientists located at universities, national laboratories and research centers around the world and is focused on imaging technology and its emergence as an integral element of neuroscience investigation. With an extended community of academicians, researchers, graduate students and technicians, the MRN is uniquely positioned with its national infrastructure to link the brightest minds in neuroscience with some of the most cutting-edge neuroimaging capabilities in the world today Equal Opportunity Employer The Lovelace Respiratory Research Institute Family of Companies is an Equal Opportunity employer–M/F/Veteran/Disability. We are committed to the hiring, advancement and fair treatment of all individuals, and all qualified applicants will receive consideration for employment without regarding to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, protected veteran status, or any other protected status as designated by federal, state or local law. For additional information about your rights as an applicant, click here. For assistance with our application process, including reasonable accommodations for individuals with disabilities to participate in the application process, please send an email to recruiting(a)lrri.org or call 505-348-9400. ======================== The Pediatric Mood and Anxiety Disorders Program (P-MAP) and the Translational and Molecular Imaging Institute (TMII) at the Icahn School of Medicine at Mount Sinai (ISMMS) are seeking a highly motivated post-doctoral scholar in neuroimaging. The focus of this position will be on analyzing fMRI and/or MRS data. Candidates should have (or nearing completion of) a PhD in neuroscience, psychology, cognitive science, radiology, engineering, or a related field, and should have a strong background in quantitative analysis. Proficiencies with at least one neuroimaging analysis software (e.g. FSL, AFNI, SPM, Freesurfer, Caret, Connectome workbench, etc.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, or R programming language is a plus. The postdoctoral scholar will be mentored jointly by Dr. Vilma Gabbay and Dr. Junqian (Gordon) Xu, with the expectation for him/her to advance both clinical and methodological knowledge through this postdoctoral training. The P-MAP under the direction of Vilma Gabbay, MD, is a unique program in the greater New York metropolitan area dedicated exclusively to the study and treatment of adolescent mood and anxiety disorders, utilizing innovative neuroimaging and immunological methodologies. The neuroimaging program led by Junqian (Gordon) Xu, PhD, has extensive knowledge about the Human Connectome Project (HCP) data acquisition and analysis, and is dedicated to advancing magnetic resonance imaging and spectroscopy techniques. TMII is equipped with cutting-edge Siemens MRI scanners dedicated to research: 3T Skyra (32ch and 16ch head coils) and whole-body actively shielded 7T (32ch Nova head coil). One campus wide supercomputer and one TMII wide center cluster are fully accessible for data analysis and algorithm development. The postdoctoral fellow's primary responsibility is to analyze neuroimaging data from funded research projects. In addition, the mentors are fully committed to fostering the trainee's research independence through first-author manuscript writing and assisting in the PIs' grant applications. The candidate is highly encouraged to pursue his/her own research project through NIH F32 or foundation fellowship applications by the end of the first year. The initial employment is for two-years, with possible extension. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to Mount Sinai campus (upper east side, Manhattan) is available. Please send CV (with 3 references) and statement of interest to Kailyn Bradley, PhD: (kailyn.bradley(a)mssm.edu). Candidates with an early start date will be given priority. ============================ The Brain Behavior Laboratory (BBL) at the University of Pennsylvania (UPenn) and The Lifespan Brain Institute (LiBI) are now accepting applications for a full-time Research Associate to coordinate our imaging analytics group, lead by Dr. Ted Satterthwaite. The BBL and LiBI study brain-behavior relationships in development and psychopathology; ongoing efforts include large-scale studies such as the Philadelphia Developmental Cohort (PNC), a landmark study of over 1,600 genotyped youth who received multi-modal neuroimaging as well as detailed clinical and cognitive phenotyping. Responsibilities will include: data integration and analysis, developing and maintaining imaging processing pipelines, supervising staff and trainees, assisting with grant preparation, and writing first-author manuscripts. This position will involve working as part of a highly-interdisciplinary research team that includes experts in diverse fields such as neuropsychiatry (Raquel E. Gur; director of LiBI and UPenn Neuropsychiatry), neuropsychology (Ruben Gur; director of BBL), network theory (Danielle S. Bassett), multivariate pattern analysis (Christos Davatzikos), and imaging statistics (Taki Shinohara). To work effectively in this highly collaborative environment, the applicant should have superior communication, language, and writing skills. The applicant must have completed their Ph.D. in neuroscience, engineering, psychology, or statistics with an established record of high productivity; post-doctoral training is desirable. Expertise in using neuroimaging software (e.g., FSL, ANTs, FreeSurfer, AFNI), statistical packages (e.g., R), and scripting languages (e.g., bash) are required. Please send cover letter and CV to Ted Satterthwaite (sattertt(a)upenn.edu). ================================== he Integrated Brain Imaging Center at the University of Washington in Seattle seeks a full-time staff research scientist with expertise in design and analysis of fMRI experiments. The successful candidate will be one who thrives in a multidisciplinary environment; can maintain a cutting edge conceptual understanding of image processing methods, analysis, and interpretation; views operationalizing methods on science as an exercise in problem solving; and enjoys integrating science and methods, operationally and conceptually. The successful candidate will demonstrate a trajectory of increasing responsibility for facilitating projects requiring divergent intellectual disciplines. Interested parties should see the full job posting on UW Hires (Req #: 128007). https://uwhires.admin.washington.edu/eng/candidates/default.cfm?szCategory=… ============================= http://www.childmind.org/en/Neuroimaging-Data-Manager/ Neuroimaging Data Manager Organizational Summary The Child Mind Institute is an independent nonprofit dedicated to transforming the lives of children and families struggling with mental health and learning disorders. Our teams work every day to deliver the highest standards of care, advance the science of the developing brain and empower parents, professionals and policymakers to support children when and where they need it most. Together with our supporters, we're helping children reach their full potential in school and in life. We share all of our resources freely and do not accept any funding from the pharmaceutical industry. Job Description The Child Mind Institute is currently recruiting a Neuroimaging Data Manager (NDM) to oversee the collection, organization, quality assurance and sharing of EEG, fMRI and eye-tracking data obtained through CMI initiatives. In particular, these initiatives will include: 1) the CMI Clinical-Research Integration, which is actively working to obtain cognitive performance and EEG data from patients interested in participating and research, and 2) the Healthy Brain Network, which is a large-scale community-focused data acquisition effort that is obtaining EEG and multimodal MRI data from children and adolescents (ages 5-21) with a range of psychiatric presentations. The NDM will be responsible for the training of research assistant staff in the collection of data and monitoring of performance for quality. Additionally, the NDM will be responsible for the organization, quality assessment of EEG and fMRI data, as well as basic preprocessing. Additionally, the NDM will help to coordinate the open sharing of data with other researchers around the world. The NDM reports to the Director, Center for the Developing Brain (Michael P. Milham, MD, PhD) and to the Project Manager, Healthy Brain Network. This is an exempt position based in our NYC headquarters, with a competitive salary and benefits. Responsibilities Include but are not limited to the following: - Work collaboratively to develop neuroimaging research project plans, including timelines, milestones, resource requirements and deliverables. - Implement project protocols and operational plans, which areconsistent with strategic objectives. These should include staff training, monitoring and quality assurance mechanisms for EEG, multimodal MRI and eye-tracking data, as well as accompanying phenotypic data. - Understand and supportglobal project goals including patient recruitment,quality assurance, and public relations. - Work with senior CMI clinical and research staff to refine and update project goals andscopes, as well as to ensure proper adherence toclinical and research regulations. - Work with senior CMI clinical and research staff to manageresources and timelines associated with projectimplementation activities. - Work with senior CMI clinical and research staff to review and approve requests for new research projects from clinical staff at CMI. Ensuremaintenance of document standardization through the use of modeldocuments, templates and appropriate peer review. Required Skills - Research study coordination and management - Problem-solving, negotiation, inventory control - Supervision, staffing, management proficiency, performance management - Workflow development; writing protocols - EEG data acquisition and analysis Qualifications - Masters degree required in psychology, neuroscience, computer science, engineering, or other related areas. (Doctoral degree preferred) - Minimum two years' experience with the collection and analysis of EEG data. - Prior experience with the collection and analysis of functional MRI data is preferred, though not required. - Intermediate programming skills in either Python or Matlab - Proficiency in Linux/Unix operating systems. - Strong knowledge of standard office software applications (e.g., Microsoft Word, Excel, PowerPoint, etc.) Application instructions Click here to apply (https://workforcenow.adp.com/jobs/apply/posting.html?client=childmind&c…)lang=en_US#). Upload cover letter and resume as one document. CMI is an Equal Opportunity Employer. CMI is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply. 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. CMI is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply. Michael P. Milham, MD, PhD Phyllis Green and Randolph Cowen Scholar Director, Center for the Developing Brain Child Mind Institute http://www.childmind.org/ Director, Center for Biomedical Imaging and Neuromodulation Research Psychiatrist Nathan S. Kline Institute for Psychiatric Research ===========================