Just to let you know that there is a six month postdoctoral position available in my lab. I would be grateful if you could please pass this on to anyone you feel might be interested.

FULL-TIME POSTDOCTORAL FELLOW: We are seeking a full-time postdoctoral researcher experienced in the analysis of genetic, structural, or functional magnetic resonance imaging data to work on a 1-year NIH-funded data analysis project examining sex differences in the development of psychopathology in children, adolescents, and young adults. Activities will include cognitive, genetic, and neuroimaging data processing, cleaning and quality control, and collaborative data analysis. Applicants should have a Ph.D. in statistics, computer science, psychology, cognitive neuroscience, or a related field. The postdoctoral fellow will engage in analyzing and integrating multimodal clinical, cognitive, genetic, and neuroimaging data of almost 10,000 children, adolescents, and young adults. This fellow will also work collaboratively with a neuroimaging research assistant and supervise graduate students in the School of Medicine and the Department of Statistics who will assist in processing and analysis of the data. Finally, the postdoctoral fellow will assist with the preparation of manuscripts, progress reports, and future grant submissions related to this project. Work will be carried out with a team of interdisciplinary investigators at Stanford University, led by PI Manpreet Singh, M.D. (Child and Adolescent Psychiatry), and under the direct supervision of Lester Mackey, Ph.D. (Statistics), Joachim Hallmayer, M.D. (Psychiatric Genetics), and Ian Gotlib, Ph.D. (Psychology). The Stanford Department of Psychiatry seeks to recruit and retain a diverse workforce as a reflection of our strong commitment to the twin goals of achievement of excellence and diversity among faculty, trainees, and staff. We are thus interested in candidates who are committed to the highest standards of scholarship and professional activities, and to the development of a climate that supports equality and diversity. Please send a cover letter, CV and two letters of recommendation to mksingh@stanford.edu. Position available immediately.

FULL-TIME DATA ANALYST IN NEUROIMAGING - Seeking a bright and motivated applicant to perform structural and functional neuroimaging analyses in a large dataset of children, adolescents, and young adults. The applicant will perform database management including data entry and cleaning, data preprocessing and analyses, and assist with preparing and presenting results for publication and future grant submissions. Current techniques include high-resolution structural imaging, functional MRI, and diffusion tensor imaging. Preference will be given to an individual with experience preprocessing and analyzing structural neuroimaging data using a variety of statistical packages, including SPM, FSL, and/or FreeSurfer. The position represents an excellent opportunity to further develop research skills and learn basic principles of clinical and cognitive neuroscience and to gain exposure to patient and normative pediatric populations over a wide developmental range. The successful applicant will be an energetic, self-directed learner with a keen interest in the lab's research. Knowledge of programming, scripting, and statistics is a plus. Applicants must be able to commit to at least one year for consideration. If interested, please send a statement of scientific interests, resume of accomplishments and relevant skills, a CV, and contact information for at least 3 academic references to Dr. Manpreet Singh, at mksingh@stanford.edu. Position available immediately.

We’re seeking to fill two positions at the Olin Neuropsychiatry Research Center that will primarily support an NIMH-funded R01 project studying network connectivity related to emotion regulation. Please see ads below:

The Olin Neuropsychiatry Research Center (www.nrc-iol.org) at the Institute of Living has a position available in brain imaging data analysis.

The successful applicant will join a major lab conducting brain structure and function research in both healthy and psychiatric populations. The focus of the work will be on a project using functional MRI to study brain network connectivity related to emotional processing. However, there also are numerous and varied ongoing and recently-completed projects funded by NIMH, NIDA and NICHD. Candidates must have Master’s degree or beyond in relevant specialty (e.g., Biomedical Engineering, Computing, Psychology, Neuroscience, or related field), understanding of fMRI statistical methods and experimental design, and promising research experience. The candidate should come from a training program that has provided demonstrable brain imaging data analysis skills (ideally fMRI) and solid working knowledge of Linux, Matlab and similar systems; (Java, C++ programming experience also useful). Experience with fMRI task programming languages (ePrime, Presentation) also a plus. Pay will be commensurate with experience.

In addition to opportunities to working on grant-funded research topics compatible with the lab mission, the Clinical Data Analyst will have access to several large archival neuroimaging datasets, additional training in sophisticated data analysis techniques (i.e., independent component analysis, multi-modal data “fusion” analysis, etc.) and access to the Center’s data collection and analysis resources (e.g., fMRI, sMRI, DTI, EEG, GWAS, neuropsychological assessment). At our center, candidates are encouraged to publish research data in peer reviewed journals and present at national research meetings, at whatever level is commensurate with their skills.

The position is open for an initial 3 years, with an option to renew. The Olin Neuropsychiatry Research Center is an established clinical neuroscience center affiliated with Yale University comprising over 60 faculty, postdocs and research assistants. Our mission is to conduct cutting-edge clinical and cognitive neuroscience research that ultimately can translate to psychiatric care. The Olin Neuropsychiatry Research Center is located on the grounds of The Institute of Living / Hartford Hospital in Hartford, CT, providing access to thousands of psychiatric patients each year treated in numerous clinical programs. This is an exciting opportunity for a clinical or cognitive neuroscience master’s degree-qualified researcher looking to establish him/herself in the field through productivity, training in advanced analysis techniques, and access to ample scientific resources. If interested, please send a statement of scientific interests, resume of accomplishments and relevant skills, a CV, and contact information for at least 3 academic references to Michael.Stevens@hhchealth.org.

The Clinical Neuroscience & Development Laboratory at the Olin Neuropsychiatry Research Center (www.nrc-iol.org/onrc_labs_cnd.asp) is seeking to fill 1 postdoctoral research position to work on a new NIMH-funded project that will use functional magnetic resonance imaging (fMRI) to examine the architecture of neural networks engaged for emotion regulation in typically-developing and depressed adolescents. The postdocs will join a lab whose focus is to study developmental changes in brain structure/function across early adolescence to young adulthood and examine neural network function abnormalities in various early-life psychiatric disorders, including depression, AD/HD, and others.

This is a good opportunity for an applicant who has experience in either clinical psychology or computational neuroscience, who has particular interests in developing a career using functional neuroimaging research. Specific postdoctoral duties would vary depending on skills and career development interests, ranging from gaining in depth experience with either the clinical aspects of the project (patient interviewing, clinical data collection, protocol management, and supervision of trained clinical research staff), fMRI data analysis skills (SPM, FSL and functional connectivity analyses of fMRI and structural brain datasets), or both. Applicants should have a Ph.D. in Psychology, Neuroscience, or closely related field, solid understanding of statistical methods and experimental design, and promising clinical research experience. The ideal candidate will come from a doctoral program that has provided a strong theoretical foundation in affective and/or cognitive neuroscience, familiarity or proficiency with fMRI methods, and competitive skills in either the clinical or analytic domains.

While data is being collected on this new project, the postdoc also will have access to several large, un-examined archival neuroimaging datasets with an expectation to work on studies consistent with those projects’ objectives. Training will be provided in sophisticated data analysis techniques (i.e., independent component analysis, multi-modal analysis, etc.), and access to the Olin Center’s extensive data collection and analysis resources (e.g., fMRI, sMRI, DTI, EEG, genotyping, neuropsychological assessment).

Applicants must have a Ph.D. in psychology, neuroscience, statistics, biomedical engineering, or related field, or an M.D. with specialization in neurology, psychiatry, radiology, or a related field (must be completed by the first day of classes, September 21, 2015); a strong commitment to high quality teaching in the areas of perception, cognition, and/or cognitive neuroscience; and the potential to attract, or an established record of attracting, substantial extramural funding.

The successful applicant will hold an academic appointment in the Department of Psychology (in the Perception, Cognition, and Cognitive Neuroscience area) and will contribute to the graduate and undergraduate teaching programs of this department/area (and will likely participate in the university-wide Neuroscience Graduate Program). The individual’s laboratory will be located at the Center for Mind and Brain, an interdisciplinary research center with 19 core faculty and a dedicated research staff. The Center offers an impressive array of modern research equipment, including several high-density EEG/ERP recording labs and a transcranial magnetic stimulation laboratory. Center faculty also have access to three research-dedicated MRI scanners at the Imaging Research Center (http://ucdirc.ucdavis.edu), including a new 3T Siemens Skyra system and a BrainAmp MR system for simultaneous EEG/MRI. The cognitive neuroscience community is extremely well integrated across campus, with exceptionally collegial interactions and collaborations among members of the Center for Mind & Brain, the Center for Neuroscience, the MIND Institute, and the Imaging Research Center. We also have close ties with many academic departments and with the UC-Davis Medical Center.

Applicants should submit a curriculum vitae, statements of research and teaching interests, representative reprints and/or preprints, and at least three letters of recommendation electronically at: https://recruit.ucdavis.edu/apply/JPF00665. Applicants are also encouraged to submit a statement of contributions to diversity.

The position will remain open until filled. Applications submitted by October 1st, 2015 will receive full initial consideration.

For information, contact the Search Committee Chair, Dr. Steve Luck, sjluck@ucdavis.edu.

Laboratory of Behavioral Genetics, Brain Mind Institute, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland

Two postdoctoral positions are immediately available to investigate the interactions between stress, physiological and neurophysiological responses, and aggressive behaviors in humans.

Postdoc 1: A study on Human Social Behaviors involving Virtual Reality and Physiological Monitoring

We are searching for an excellent candidate with a Ph.D. in neuroscience, psychology or other related fields, with a strong track record on the use of virtual reality and behavioral analyses in humans (e.g., fear conditioning; computer-based tasks). Experience in the field of stress-induction or drug administration procedures in humans and/or imaging approaches would be an advantage, but is not required.

Postdoc 2: A study on Human Social Behaviors involving EEG and Physiological Monitoring

We are searching for an excellent candidate with a Ph.D. in neuroscience, physics, psychology or other related fields, with a strong track record on the use of EEG in humans. Experience in neuro-feedback, fMRI or pharmacological approaches would be an advantage, but is not required.

************

A strong interest in interdisciplinary work and, particularly, in linking stress neurobiology with social behaviors –particularly aggression and social dominance- in humans would also be an additional asset. English is required and a good knowledge of French would be an advantage.

Both projects involve the study of different aspects of human social behaviors and physiological responses linked to aggression. They include a core collaboration between Prof. Carmen Sandi, Laboratory of Behavioral Genetics and Prof. Michael Herzog, EPFL, Lausanne.

The research will be conducted at the Laboratory of Behavioral Genetics (http://lgc.epfl.ch/) at the Brain Mind Institute, EPFL, Lausanne (http://bmi.epfl.ch/), a center dedicated to exploring the emergence of higher brain function across multiple levels ranging from gene expression to cognition and emotional processing.

The positions are immediately available, though starting time can be negotiated (initial contract for 1 year, extendable for 2-3 additional years).

Applications will be started to be reviewed from September 1st 2015 until the position gets filled.

Interested candidates should send by email a SINGLE pdf document including: CV, a research statement -indicating scientific interests and relevant experience- and the names and contact details of 3 reference persons to: Prof. Carmen Sandi (carmen.sandi@epfl.ch).

================================
9.

Research Laboratory Specialist Inter position at the University of Michigan, Ann Arbor. 

Responsibilities*
Linux system administrator for data storage, processing, and wiki servers.  Provide server hardware and operating system support.  Manage the backup and recovery of fMRI data and provide infrastructure services for imaging analysis workstations.  Develop, implement, and document modular and reusable processing pipelines for fMRI/PET data in SPM, FSL, and AFNI software packages.  Create reusable and custom data analysis scripts with MATLAB.  Design, code, and implement fMRI paradigms in E-Prime and Psychtoolbox.  Review and write or edit manuscripts prior to submission to scientific journals.  Evaluate existing software and analysis methods for neuroimaging data. 

Required Qualifications*
Proficient in MATLAB and Unix/Linux.  Must have excellent oral and written communication skills, as well as analytical and problem solving skills.

Desired Qualifications*
Master’s Degree or equivalent.  Familiar with the neuroimaging data arching tool XNAT.  Experience with additional imaging techniques (e.g., functional connectively, VBM, DTI, H-MRS) and software platforms (e.g., MedX). Additional programming (i.e., C, C++, C#, Bash, JAVA, Python, .NET) and electrical systems experience.  Prior experience in pain research.  Advanced statistical training. Working knowledge of Vee Pro and E-Prime software.

For additional information or to submit an application please contact:
Katherine Scott
Department of Anesthesiology
Chronic Pain and Fatigue Research Center
University of Michigan, Ann Arbor, MI
email: jrsj@med.umich.edu


========================================
10.

Open position: Technical employee for an interdisciplinary project in man-machine interaction, Department of Biometry and Medical Informatics , University of Magdeburg, Magdeburg, Germany

The Department of Biometry and Medical Informatics of the Otto-von-Guericke-University Magdeburg is offering

Technical employee
(Salary level 10 TV-L, full-time, limited to 3 years)

for the project EMOADAPT (supported by the Federal Ministry of Education and Research, BMBF)

The goal of the interdisciplinary project EMOADAPT is the further development of a brain computer interface that allows emotions to be recognized by the computer in real time and implemented in the interaction between man and machine. For detection and identification of emotional changes in the human-machine interaction, imaging techniques (functional magnetic resonance imaging), EEG and classic peripheral psychophysiological parameters should be combined. The interaction between humans and machine takes place in virtual reality scenarios, which are to adapt in real time to emotions/dispositions of the user.

Position description:
The main tasks will be to implement and optimize the developed measurement methods and evaluation strategies for real-time detection of activated brain areas during a dynamic interaction within virtual realities. The work will be in close cooperation with an interdisciplinary group.

Your profile:
The candidate should hold a degree (Bachelor / FH-Master / Univ.-master) in informatics, engineering or natural sciences, as well as very good knowledge of programming in C ++. Experiences with MATLAB are advantageous. Opportunities for further qualification (PhD) are offered. The participation in the MRI experiments is desired.

Contact: Prof. J. Bernarding, Email: johannes.bernarding@med.ovgu.de. 
Phone: +49-391/6713535
Please send your application with the usual documents (CV, degree certificates, list of publications) until 1/9/2015 to the above email address or to Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Institute for Biometry and Medical Informatics, Leipziger Str. 44, 39120 Magdeburg


website: www.ibmi.ovgu.de/en
www.med.uni-magdeburg.de/Alle+Stellenangebote.html

=======================================
11.

Open position: Post-Doc position for an interdisciplinary project in man-machine interaction, University Clinic for Psychiatry, Psychotherapy and Psychosomatic Medicine of the Childhood and Adolescence, University of Magdeburg, Magdeburg, Germany

The University Clinic for Psychiatry, Psychotherapy and Psychosomatic Medicine of the Childhood and Adolescence of the Otto-von-Guericke University Magdeburg is offering  
Post-Doc
(Salary level 13 TV-L, full-time, limited to 3 years)

for the project EMOADAPT (supported by the Federal Ministry of Education and Research, BMBF)
The goal of the interdisciplinary project EMOADAPT is the further development of a brain computer interface that allows emotions to be recognized by the computer in real time and implemented in the interaction between man and machine. For detection and identification of emotional changes in the human-machine interaction, imaging techniques (functional magnetic resonance imaging), EEG and classic peripheral psychophysiological parameters should be combined. The interaction between humans and machine takes place in virtual reality scenarios, which are to adapt in real time to emotions/dispositions of the user.

Position description:
The overall task is to provide the psychological basis for the project, mainly development and evaluation of psychological and psychobiological measures of emotional processes occurring during the dynamic human-machine interaction. Part of the work includes integrating according parameters and personal profiles into virtual reality scenarios mimicking man-machine interactions as well as how emotions may modulate according dynamics interactions. The work will be in close cooperation with an interdisciplinary group (Prof. Dr. Johannes Bernarding, Department of Biometrics and Medical Informatics (OvGU), Prof. Dr. Eva Brinkschulte, Institute for History and Ethic in Medicine; Dr. André Brechmann, Special Lab Non-Invasive Brain Imaging of the Leibniz Institute for Neurobiology).

Your profile:
The candidate should hold a degree (Diploma/Master) and a doctorate in psychology or neuroscience. The candidate should have experience in projects working with emotion processing, and should be familiar with functional imaging and / or psychophysiological research methods. Interest in interdisciplinary collaboration is expected.

Contact: Dr. Kerstin Krauel, Email: kerstin.krauel@med.ovgu.de
Phone: 0391/6717003
Please send your application with the usual documents (CV, degree certificates, list of publications) until 9/1/2015 to the above email address or to Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Klinik für Kinder- und Jugendpsychiatrie, Leipziger Str. 44, 39120 Magdeburg

website: www.ibmi.ovgu.de/en
www.med.uni-magdeburg.de/Alle+Stellenangebote.html


=============================
12.

pen position: PhD or Post-Doc position for an interdisciplinary project in man-machine interaction, Department of Biometry and Medical Informatics , University of Magdeburg, Magdeburg, Germany

The Department of Biometry and Medical Informatics of the Otto-von-Guericke-University Magdeburg is offering  

PhD or PostDoc
(Salary level 13 TV-L, full-time, limited to 3 years)

for the project EMOADAPT (supported by the Federal Ministry of Education and Research, BMBF)
The goal of the interdisciplinary project EMOADAPT is the further development of a brain computer interface that allows emotions to be recognized by the computer in real time and implemented in the interaction between man and machine. For detection and identification of emotional changes in the human-machine interaction, imaging techniques (functional magnetic resonance imaging), EEG and classic peripheral psychophysiological parameters should be combined. The interaction between humans and machine takes place in virtual reality scenarios, which are to adapt in real time to emotions/dispositions of the user.

Position description:
The main tasks will be the development and optimization of methods of measurement and evaluation strategies for real-time detection of activated brain areas during a dynamic interaction within virtual realities. The candidate will be part of a team of two scientific employees, one programmer and students. The work will be in close cooperation with an interdisciplinary group (Dr. Kerstin Krauel, Clinic for Child- and Adolescent Psychiatry (OvGU), Prof. Dr. Eva Brinkschulte, Institute for History and Ethic in Medicine; Dr. André Brechmann, Special Lab Non-Invasive Brain Imaging of the Leibniz Institute for Neurobiology). The main focus of research activity is realtime fMRI and combined fMRI / EEG. As a further focus the Realtime Pattern Classification is to be expanded. Possibility for further qualification is offered.

Your profile:
The candidate should hold a PhD in physics, informatics, engineering or neuroscience or aim to complete an according doctorate. Support of the project management is expected.

Contact: Prof. J. Bernarding, Email: johannes.bernarding@med.ovgu.de
Phone: +49-391/6713535
Please send your application with the usual documents (CV, degree certificates, list of publications) until 9/1/2015 to the above email address or to Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Institute for Biometry and Medical Informatics, Leipziger Str. 44, 39120 Magdeburg

website: www.ibmi.ovgu.de/en
www.med.uni-magdeburg.de/Alle+Stellenangebote.html

===================================
13.