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Fwd: Postdoctoral Fellowship position
by Gary Green 26 Nov '14

26 Nov '14

Mayo Clinic, Department of Neurology and Department of Radiology Multiple Sclerosis Imaging Research Program Postdoctoral Fellowship – Advanced in Vivo and Ex Vivo Magnetic Resonance Imaging and Spectroscopy Studies in MS and Other Neuro-inflammatory Diseases We seek a highly motivated individual who can join our laboratory as a postdoctoral research fellow or as a research assistant at Mayo Clinic in Rochester, Minnesota. The position involves clinical and experimental research using MRI in studying cortical and white matter lesions, as well as overall tissue loss and mechanisms of tissue damage in MS. Our research activities are aimed at determining the relationship of cortical and white matter lesions, the MRI and MRS characteristics of different lesion types, their role in the pathogenesis of MS, and their relationship with clinically relevant functional outcome measures as well as measures of overall tissue loss. Our growing and externally funded research program, which involves a combination of in vivo and ex vivo imaging with currently existing and newly developed or locally customized imaging techniques, has proven to be a valuable tool to understand the pathology of CNS dysfunction in MS and related conditions. With access to unique and extensively characterized patient cohorts, and an infrastructure of 28 human MRI and 2 narrow-bore experimental MRI systems on campus, access to several core facilities and multiple collaborators, Mayo Clinic represents an ideal environment for cutting edge MRI and MRS research of neuro-inflammatory diseases. The successful applicant will be expected to lead and collaborate on experiments in MRI and MRS analysis, but will also be involved in all aspects of our studies, as well as project-related data management. Specific responsibilities will include: • Developing, modifying, executing image analysis protocols and scripted processing pipelines in order to analyze MRI scans from 3 Tesla Siemens and GE systems, as well as 7 and 16.4 Tesla narrow-bore Bruker systems. • Participating in all aspects of MRI data analysis and data management. • Develop and execute standalone projects using existing data, being in charge of all aspects of such projects, with appropriate supervision. • Participate in the development and optimization of new scanning protocols, including the development of novel or customized pulse sequences. • Preparing reports and documentation for review. • Disseminating results as articles in peer-reviewed scientific journals and at major national and international conferences and workshops. • Mentoring junior staff associated with our research program. Qualifications and skills required: • A recent PhD in neuroscience, MRI physics, biochemistry, biomedical engineering or related field. • Strong publication record and excellent academic credentials. • Interest and expertise in aspects of proton MRI and MRS, and in advanced image analysis techniques. • At least basic knowledge of brain anatomy and neuroscience. • Substantial experience with scientific computing, including a strong working knowledge of Linux, BASH scripting, programming in Python or other high-level C++ based languages. • Expertise in advanced image analysis software packages such as FSL, FreeSurfer, Analyze, etc. • Ability to work effectively unsupervised. • Ability to work on collaborative projects with multiple investigators. • Strong written and verbal communication skills. Position Duration: Full-time, temporary, 1 year initial position, renewable annually, contingent upon performance. Salary: Commensurate with experience Application: Candidates should submit a cover letter with a brief statement describing their research experience and interests and goals, a full curriculum vitae, and the names of two individuals who would be willing to provide a letter of recommendation (with their contact information). Inquiries and applications should be directed to Dr. Claudia Lucchinetti (clucchinetti(a)mayo.edu) Deadline: Open until filled.

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Fwd: PhD opportunity at the Department of Systems Neuroscience in Hamburg in “Cognitive modulation of pain”
by Gary Green 25 Nov '14

25 Nov '14

PhD opportunity at the Department of Systems Neuroscience in Hamburg in “Cognitive modulation of pain” The Laboratory of Christian Büchel at the Department for Systems Neuroscience Hamburg University is currently screening for a PhD fellowship focused on the cognitive modulation of pain processing using a combination of computational neuroscience and fMRI/EEG. The focus of this positions is on (i) the investigation of the interplay between the ascending and descending nociceptive system, (ii) the interplay of motivational systems and pain in the context of decision making and (iii) , employing state-of-the-art analyses of effective connectivity to investigate aspects of predictive coding in pain processing. For an overview see (www.ncbi.nlm.nih.gov/pubmed/24656247). Potential applicants will have a master or Diploma in Cognitive Neuroscience, Neurophysiology, Psychology, Computer Science, Physics, Statistics or a related field. Mathematical and programming skills are required. Experience in experimental design, analysis of fMRI data is a plus. Duties will also include manuscript preparation, presentation of findings at conferences and management of student research assistants. Laboratory and Department resources include a research-dedicated 3T MR scanner, concurrent fMRI/EEG setup, small animal 7T MR and an on-site physics group. This PhD position will be part of the Department’s graduate school “neurodapt”. Official lab language is English. If you are interested, please send a curriculum vitae, a statement describing research interests and relevant background to: Christian Büchel, MD Department of Systems Neuroscience, University Medical Center, Hamburg-Eppendorf, buechel(a)uke.de

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Fwd: Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'
by Gary Green 25 Nov '14

25 Nov '14

Dear all, our Wellcome Trust 4-year PhD programme in systems neuroscience, aimed at applicants from the physical sciences (physics, engineering, mathematics, or computer science), is now accepting applications for studentships starting in September 2015 (see below). Research areas include Neuroinformatics, Computational Neuroscience, Neuroimaging (fMRI, DTI, EEG, ECoG in rodents, non-human primates, and humans), Brain Connectivity, Clinical Neuroscience, Behaviour and Evolution, and Brain Dynamics (simulations and time series analysis). Strong interactions between clinical, experimental, and computational researchers are a key component of this programme (see, for example, http://www.cando.ac.uk/ for a current research project). On a separate note, we also offer a one-year master programme in Neuroinformatics (http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/ ) which is now accepting applications. See http://neuroinformatics.ncl.ac.uk <http://neuroinformatics.ncl.ac.uk/>/ for more information about the research environment. Best, Marcus *Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'* Programme Directors: Prof. Stuart Baker, Prof. Tim Griffiths, and Dr Marcus Kaiser The Institute of Neuroscience at Newcastle University integrates more than 100 principal investigators across medicine, psychology, computer science, and engineering. Research in systems, cellular, computational, and behavioural neuroscience. Laboratory facilities include auditory and visual psychophysics; rodent, monkey, and human neuroimaging (EEG, fMRI, PET); TMS; optical recording, multi-electrode neurophysiology, confocal and fluorescence imaging, optogenetics, high-throughput computing and e-science, artificial sensory-motor devices, clinical testing, and the only brain bank for molecular changes in human brain development. The Wellcome Trust's Four-year PhD Programmes are a flagship scheme aimed at supporting the most promising students to undertake in-depth postgraduate research training. The first year combines taught courses with three laboratory rotations to broaden students' knowledge of the subject area. At the end of the first year, students will make an informed choice of their three-year PhD research project. This programme is based at Newcastle University and is aimed to provide specialised training for physical and computational scientists (e.g. physics, chemistry, engineering, mathematics, and computer science) wishing to apply their skills to a research neuroscience career. Eligibility/Person Specification: Applicants should have, or expect to obtain, a 1st or 2:1 degree, or equivalent, in a physical sciences, engineering, mathematics or computing degree. Value of the award: Support includes a stipend for 4 years (£20k/yr tax-free), PhD registration fees at UK/EU student rate, research expenses, general training funds and travel costs. How to apply: You must apply through the University's online postgraduate application form (http://www.ncl.ac.uk/postgraduate/funding/search/list/IN076 ) inserting the reference number IN076 and selecting 'Master of Research/Doctor of Philosophy (Medical Sciences) - Neuroscience' as the programme of study. Only mandatory fields need to be completed (no personal statement required) and a covering letter, CV and (if English is not your first language) a copy of your English language qualifications must be attached. The covering letter must state the title of the studentship, quote the reference number IN076 and state how your interests and experience relate to the programme. The deadline for receiving applications is 15 January 2015. You should also send your covering letter and CV to Beckie Hedley, Postgraduate Secretary, Institute of Neuroscience, Henry Wellcome Building, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, or by email to ion-postgrad-enq(a)ncl.ac.uk <mailto:ion-postgrad-enq@ncl.ac.uk> . For more information, see http://www.ncl.ac.uk/ion/study/wellcome/ Best, Marcus -- Marcus Kaiser, Ph.D. Associate Professor (Reader) in Neuroinformatics School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www. <http://www.biological-networks.org/>dynamic-connectome.org <http://www.dynamic-connectome.org/> Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk <http://neuroinformatics.ncl.ac.uk/>/

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Fwd: Postdoctoral Research Fellow / Linköping University – Real-time classification of attended source with EEG and EarEEG brain-computer interface
by Gary Green 24 Nov '14

24 Nov '14

Linköping University, Sweden, represented by the departments of Electrical Engineering and Behavioral Science, in cooperation with Oticon A/S, Denmark, represented by Eriksholm Research Centre, is seeking to fill a vacant position of a Postdoctoral Research Fellow. The position is supported by a grant from the Oticon Foundation with support from the Linnaeus Excellence Centre CADICS at Linköping University. This full-time position is available from 01.02.2015, initially for 12 months, with a possibility for extension to 24 months. Salary will be according to qualifications and experience. The main part of the research work will be carried out at the department of Electrical Engineering, division of Automatic Control, Linköping, https://www.control.isy.liu.se/. The position includes close cooperation with other research groups in Europe and in the US, and the industry. *About the position* We are seeking a Post Doc researcher with a fairly recent PhD, who has excellent skills in machine learning and having an interest in applied research. The application area of interest is audio data combined with Electroencephalogram (EEG) data. The area of interest for the position is EEG measures in relation to hearing impairment and hearing aids. Recent studies have shown that the EEG can be used as a brain-computer interface (BCI) in several applications. EarEEG is a new possibility to record EEG signals from the ear canal. This project aims at maturing EarEEG BCI methods towards specified tasks. Physiological measures of cognitive processing in users of rehabilitative technology have the potential to reveal the user’s focus of attention. This could be used to e.g. steer beamformers towards sources of interest to help hard of hearing person to communicate in difficult listening situations. During the first year of this appointment, the Research Fellow will work on new models for attention classification using an established EEG/audio data set. Machine learning approaches may include e.g. principal component analysis (PCA), independent component analysis (ICA), beamforming, common spatial patterns (CSP), canonical correlation analysis (CCA), time-frequency analysis, linear discriminant analysis (LDA), support vector machines (SVM) and system identification methodologies. Further in the project new data collected in a Horizon 2020 EU (COCOHA - COgnitive COntrol of a Hearing Aid, project under start-up) may also be used. The project may also involve implementation in an experimental chipset. Extensive collaboration with groups working in related areas is expected, with visits and stays in Denmark (Eriksholm Research Centre and Danish Technical University, DTU) as well as in the US. The objective for the projects is to build up world-leading expertise in classification of attended sound objects using physical and physiological data. * * *Your background* We are seeking candidates with a PhD degree (or equivalent research experience) in machine learning, automatic control, signal processing or a related discipline, who have an excellent research and publication record. A strong interest in interdisciplinary and application-oriented work, team-work, as well as good English language skills is required. Apart from initiating cutting-edge research leading to journal publications, the experienced researcher is expected to be a part of the research group in the two Linnaeus Excellence centre CADICS (Department of Electrical Engineering), as well as the Linnaeus excellence centre HEAD (Department of Behavioral Science), both at Linköping University. *Want to join Linköping University?* If this opportunity appeals to you, then submit your application as soon as possible (emails below) and no later than 1^st January, 2015. Please be aware that we are holding interviews on a continuous basis, so do not hesitate submitting your application. Please include the following documents: Letter of motivation; CV; a list of publications; copies of University diplomas and course transcripts; 2 -3 references (if possible). If you would like to know more about the position or apply, you are welcome to contact Professor Fredrik Gustafsson at Fredrik.gustafsson(a)liu.se <mailto:Fredrik.gustafsson@liu.se>or Professor Thomas Lunner at tlu(a)eriksholm.com <mailto:tlu@eriksholm.com>Phone: +45 4829 8918. */About Linköping University /*Linköping University (in Swedish <http://en.wikipedia.org/wiki/Swedish_language>: Linköpings universitet, LiU) is a state university <http://en.wikipedia.org/wiki/University> in Linköping <http://en.wikipedia.org/wiki/Link%C3%B6ping>, Sweden <http://en.wikipedia.org/wiki/Sweden>. Linköping University was granted full university status in 1975 and is now one of Sweden's larger academic institutions. Education, research and PhD training are the mission of four faculties: Arts and Sciences, Educational Sciences, Health Sciences and the Institute of Technology. In order to facilitate interdisciplinary work, there are 14 large departments combining knowledge from several disciplines and often belonging under more than one faculty. Linköping University emphasises dialogue with the surrounding business sphere and the community at large, both in terms of research and education. In 2013, Linköping University was home to 27,000 students and 4,000 employees.

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lecturer position
by Gary Green 23 Nov '14

23 Nov '14

University of Ulster THE FACULTY OF LIFE AND HEALTH SCIENCES The Faculty of Life and Health Sciences has a reputation for internationally competitive research, for innovation in taught programmes and for the quality of the students' educational experience. Most importantly, our excellence in research informs our excellent teaching. The Faculty believes that students and staff are more likely to strive for excellence when they work in an environment where knowledge and skills are generated, challenged, tested and applied as well as being taught. There are 6,700 students (includingover 2,000 postgraduates) within the Faculty. All of the programmes on offer represent areas where the most significant advances are taking place and provide graduates with the necessary skills and knowledge base to follow high-level professional career pathways in health services, industry, research and government. The Faculty wishes to make the following appointment at lecturer level. SCHOOL OF HEALTH SCIENCES *Lecturer in Diagnostic Radiography and Imaging Ref: 1436561/E* Base: Jordanstown The University wishes to an appoint innovative and ambitious individual with integrity, energy and a passion for their work to contribute to teaching on undergraduate, postgraduate and CPD programmes and to contribute to the research profile of the School. The salary scale for a lecturer position is £33,261 - £47,355. *Closing date for receipt of applications is 5 December 2014.* We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs** <http://www.ulster.ac.uk/jobs>** Hard copy applications can be obtained by telephoning 028 7012 4072** The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities.** Appointment will be made on merit.

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lecturer position
by Gary Green 23 Nov '14

23 Nov '14

FACULTY OF HEALTH & LIFE SCIENCES School of Allied Health Sciences *Lecturer in Medical Science (Anatomy & Physiology) - VC2020* Full time, Permanent Grade F: £32,277 - £35,256 DMU is internationally renowned for creativity and innovation. Our life-changing research is central to our vision. We want outstanding candidates to fill a number of posts with a lecturing and research focus as part of our VC2020 Lectureship programme designed to build research capacity towards REF 2020. A dynamic, self-motivated individual is required to teach on the Medical Science (BMedSci) programme in the School of Allied Health Sciences. You will be expected to contribute to the development and delivery of these subjects through teaching, research and related professional academic activity. You should have a PhD in a relevant bioscience discipline and be committed to the educational development of bioscience students and future scientists and healthcare professionals. Interest/experience in the anatomy and physiology of muscle and/or nervous tissue is essential, and experience of laboratory practical sessions and e-Learning to enhance teaching and learning is desirable. This is an ideal opportunity if you are in the early stages of your career as training and support will be offered. *Please quote reference: 8690 Closing Date: 4 December 2014 Interview Date: w/c 5 January 2015*

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Fwd Call for applications - Graduate School PhD positions at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig (MPI CBS)
by Gary Green 23 Nov '14

23 Nov '14

--- CALL FOR APPLICATIONS --- Institution: The International Max Planck Research School on Neuroscience of Communication now offers several positions every year for excellent students holding a Master´s or equivalent degree to perform research resulting in a PhD . Deadline: The call for applications of the third round - *** deadline: January 11, 2015 *** - now open. Candidates: The IMPRS NeuroCom aims to recruit and educate excellent young scientists who wish to extend their knowledge and research experience in a structured 3-year research programme , in order to pursue a successful career in cognitive neuroscience . The school is intended for students possessing a very good Master's (or qualified equivalent) degree in disciplines such as computer science, engineering, linguistics, mathematics, medicine, neurobiology, cognitive neuroscience, neurology, physics, psychiatry, psychology, or related fields, awarded by an internationally recognized university-level institution. Research experience is essential for successful candidates. Admission: The applications are evaluated by IMPRS faculty members. Interview selection is based on academic qualifications, personal references, recommendation, research experience and interests, and suitability to the programme. Information: Please find more information about the research school and PhD programme at: http://imprs-neurocom.mpg.de/main.html And about the application at: http://imprs-neurocom.mpg.de/applications Best wishes, Katja Kirsche -- _____________________ Katja Kirsche IMPRS Coordinator Internship Advisor Max-Planck-Institute for Human Cognitive and Brain Sciences Stephanstrasse 1A, 04103 Leipzig, Germany Phone: +49 341 - 9940 2261 Fax: +49 341 - 9940 113 Web: www.cbs.mpg.de IMPRS: http://imprs-neurocom.mpg.de/main.html Internships: https://s-lotus.gwdg.de/mpg/mlnp/interns4mpicbs.nsf/bewerbung _____________________ -- _____________________ Katja Kirsche IMPRS Coordinator Internship Advisor Max-Planck-Institute for Human Cognitive and Brain Sciences Stephanstrasse 1A, 04103 Leipzig, Germany Phone: +49 341 - 9940 2261 Fax: +49 341 - 9940 113 Web: www.cbs.mpg.de IMPRS: http://imprs-neurocom.mpg.de/main.html Internships: https://s-lotus.gwdg.de/mpg/mlnp/interns4mpicbs.nsf/bewerbung _____________________

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Fwd: Cognitive Neuroscience Postdoctoral Fellowship in Mental Health
by Gary Green 23 Nov '14

23 Nov '14

*Cognitive Neuroscience Postdoctoral Fellowship in Mental Health* A postdoctoral fellowship position is available at the University of Texas at Austin, Department of Psychology and Institute for Mental Health Research to conduct research with Drs. Christopher Beevers and David Schnyer. This position is for two years with the possibility of extending the fellowship or transitioning to research faculty by mutual agreement based on job performance and funding availability. Duration and start time are negotiable. Salary is commensurate with experience and consistent with NIH guidelines. We are seeking a postdoctoral fellow in cognitive neuroscience with strong expertise in eye tracking and EEG/ERP methods who is interested in translational research involving clinical populations. The postdoctoral fellow will contribute to a program of research that examines the etiology and treatment of depression in adults across multiple levels of analyses (behavioral, genetic, neural, environmental). Ongoing studies include dual process models of reward and punishment processing, genetic etiology of cognitive vulnerability to depression, and real-time neurofeedback attention training in depressed adults. In addition to SR Research eye-tracking and Brain Vision EEG equipment located in Dr. Beeversâ?? laboratory, the postdoctoral fellow will have access to other cognitive neuroscience resources at the University of Texas at Austin, including fMRI, MR compatible EEG, TMS, and MEG. The postdoctoral fellow will primarily be responsible for designing and implementing EEG and eye tracking experiments, preparing manuscripts, contributing to grant writing, and conducting analyses following data collection. Opportunities to write manuscripts from extant datasets are plentiful. Some staff supervision will also be expected. The fellow will have advisors with expertise in psychopathology, cognitive neuroscience, and grant writing. Individuals with a PhD in cognitive psychology, cognitive neuroscience, or related fields of study are encouraged to apply for this position. Qualifications include a 1) doctoral degree, 2) demonstrated expertise with EEG/ERP and/or eye tracking methods, and 3) an interest in clinical populations. Experience with Matlab (i.e., EEGLab, Psychtoolbox) and statistical analysis programs (R, Stata) is also required. Excellent scientific writing skills and strong publication records are highly desired. Applicants should be able to work independently but should also demonstrate good interpersonal skills and a desire to work in a highly collaborative environment. Application materials (curriculum vita, cover letter describing research interests and experience, three letters of recommendation) can be sent electronically toÂ beevers(a)utexas.edu <mailto:beevers@utexas.edu>. Please contact Christopher Beevers (beevers(a)utexas.edu <mailto:beevers@utexas.edu>) or David Schnyer (schnyer(a)utexas.edu <mailto:schnyer@utexas.edu>) with inquires about this position. -- -- David Schnyer, Ph.D. Professor, Cognitive Neuroscience Department Liaison for Medical Affairs Department of Psychology, SEA 5.246 University of Texas, Austin tel: (512) 475-8499, fax: (512) 471-5935 http://homepage.psy.utexas.edu/homepage/faculty/Schnyer

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Fwd: Research Assistant position at Dementia Research Centre, UCL
by Gary Green 21 Nov '14

21 Nov '14

Applications are invited for a Research Assistant to participate in the image analysis activities of the Dementia Research Centre, UCL Institute of Neurology, in particular for a neuroimaging sub-study investigating 500 members of the MRC Lifelong Health and Ageing 1946 Birth Cohort. Tasks will include segmentation, registration and quantification of cerebral atrophy from MRI scans, as well as image quality control over various MR modalities such as volumetric T1, DTI and fMRI. In addition, the post holder will provide technical support to the team and assist the Trials Software Development Manager as required. Applicants should have an honours degree (min 2:1) in a relevant scientific discipline, and advanced user level IT proficiency. Familiarity in one or more of script writing (python, perl, bash), SQL, web technologies (PHP, HTML) or traditional languages (C, C++) is essential, as is an interest in developing his/her technical skill, and a commitment to supporting high quality research. The ability to prepare and deliver written and verbal reports of the work and research conducted is also a requirement. Experience of UNIX/LINUX, an understanding of research methodology and experience of brain MR image analysis is desirable. The post is available from January 2015 and is funded by Alzheimer’s Research UK for one year in the first instance. You should apply for this post through UCL's online recruitment - www.ucl.ac.uk/hr/jobs where you can download the job description and person specification using ref: 1444538. (You must use the 'current employment opportunities at UCL' search, https://static.wcn.co.uk/company/ucl/search_engine.html ) For queries relating to the application process please contact Samantha Robinson, Personnel Officer, Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email:ion.hradmin@ucl.ac.uk).

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Fwd: Cognitive Neuroscience Postdoctoral Fellowship in Mental Health
by Gary Green 21 Nov '14

21 Nov '14

*Cognitive Neuroscience Postdoctoral Fellowship in Mental Health* A postdoctoral fellowship position is available at the University of Texas at Austin, Department of Psychology and Institute for Mental Health Research to conduct research with Drs. Christopher Beevers and David Schnyer. This position is for two years with the possibility of extending the fellowship or transitioning to research faculty by mutual agreement based on job performance and funding availability. Duration and start time are negotiable. Salary is commensurate with experience and consistent with NIH guidelines. We are seeking a postdoctoral fellow in cognitive neuroscience with strong expertise in eye tracking and EEG/ERP methods who is interested in translational research involving clinical populations. The postdoctoral fellow will contribute to a program of research that examines the etiology and treatment of depression in adults across multiple levels of analyses (behavioral, genetic, neural, environmental). Ongoing studies include dual process models of reward and punishment processing, genetic etiology of cognitive vulnerability to depression, and real-time neurofeedback attention training in depressed adults. In addition to SR Research eye-tracking and Brain Vision EEG equipment located in Dr. Beevers’ laboratory, the postdoctoral fellow will have access to other cognitive neuroscience resources at the University of Texas at Austin, including fMRI, MR compatible EEG, TMS, and MEG. The postdoctoral fellow will primarily be responsible for designing and implementing EEG and eye tracking experiments, preparing manuscripts, contributing to grant writing, and conducting analyses following data collection. Opportunities to write manuscripts from extant datasets are plentiful. Some staff supervision will also be expected. The fellow will have advisors with expertise in psychopathology, cognitive neuroscience, and grant writing. Individuals with a PhD in cognitive psychology, cognitive neuroscience, or related fields of study are encouraged to apply for this position. Qualifications include a 1) doctoral degree, 2) demonstrated expertise with EEG/ERP and/or eye tracking methods, and 3) an interest in clinical populations. Experience with Matlab (i.e., EEGLab, Psychtoolbox) and statistical analysis programs (R, Stata) is also required. Excellent scientific writing skills and strong publication records are highly desired. Applicants should be able to work independently but should also demonstrate good interpersonal skills and a desire to work in a highly collaborative environment. Application materials (curriculum vita, cover letter describing research interests and experience, three letters of recommendation) can be sent electronically to beevers(a)utexas.edu <mailto:beevers@utexas.edu>. Please contact Christopher Beevers (beevers(a)utexas.edu <mailto:beevers@utexas.edu>) or David Schnyer (schnyer(a)utexas.edu <mailto:schnyer@utexas.edu>) with inquires about this position. -- -- David Schnyer, Ph.D. Professor, Cognitive Neuroscience Department Liaison for Medical Affairs Department of Psychology, SEA 5.246 University of Texas, Austin tel: (512) 475-8499, fax: (512) 471-5935 http://homepage.psy.utexas.edu/homepage/faculty/Schnyer

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