If you have a position open in your group, please contact us to post it here.
Major Accountability: Responsible to the MSI technical and medical Directors to ensure the proper of MSI/MEG procedures, the technical integrity of testing and participate in the care of patients undergoing MSI testing. Work cooperatively with the interdisciplinary team to provide quality patient care and to ensure a friendly, safe and customer service oriented MSI Lab.
Major Duties and Responsibilities:
• Perform the following responsibilities effectively, independently, and according to protocols, procedures, and established practice in an accurate and timely manner.
• Knowledge and experience of using EMR & Practice Management System.
• Perform MEG data acquisition, including mounting positioning coils, digitization, and recording.
• Develop and maintain MSI database.
• Troubleshoot equipment problems independently.
• Archive and backup MSI data.
• Process all MSI patient-scheduling requests for procedures.
• Provide back-up coverage and/or assistance for insurance approval/appeals.
• Work in collaboration with the MSI Directors, physician or other staff member initiating data projects, including: defining the project, planning the process, establishing deadlines, reporting progress at key junctures, and troubleshooting obstacles.
• Enter and manipulate patient data, as requested, into appropriate computer database.
• Perform clinical data analysis when requested.
• Compile and summarize data into a report form.
• Perform quality assurance audits on a regular basis.
• Assist with magnetoencephalography clinical and research procedures.
• Integrate MSI data with other studies as may be clinically indicated and/or requested by the ordering neurosurgeon/physician.
• Prepare data or other information as requested by neurosurgeons/physicians for community outreach including presentation at local, national or international meetings and/or marketing.
• Assist in development of new protocols for clinical or research purposes.
• Interact as appropriate with multidisciplinary team to provide information about MSI.
• Provide intervention for patient’s seizure occurrence.
• Develop and maintain positive working relations with all MEG employees and other departments as a responsibility in fulfilling all job functions.
• Minimum BA or BS bachelor degree in neuroscience, computer science, psychology or related fields, master’s level education preferred.
• Participate in national and international societies such as ACMEGS and/or ISACM. Position will operate under the newly adopted guidelines of the ACMEGS Clinical Practice Guideline Committee, February 2, 2011. American Clinical Magnetoencephalography Society Clinical Practice Guideline 4: Qualifications of MEG Personnel. MEG experience is preferred, but not necessary.
• Meet Allied Health Requirements established by credentialing hospital(s).
• BLS certification.
• Demonstrated ability to perform basic competency.
• Experience with Unix, Mac and PC computer systems, related to scripting, programming and data base management.
• Familiarity with research design and methodology preferably in the medical field.
• The successful candidate should be willing to get trained and learn new skills.
• Ability to communicate in English both oral and written.
• Ability to be detailed oriented.
• Ability to work independently and exercise good judgment as it relates to research.
• Ability to stoop, bend, twist, lean, and crouch multiple and repeated times.
• Ability to lift and carry up to 20 pounds repeatedly.
• Ability to push and pull up to 100 pounds, occasionally.
• Sit and/or stand in upright position for prolonged periods of time (up to 4 hrs).
• Ability to remain calm and demonstrate professional behavior in stressful situations.
• Ability to maintain effective working relations with varied levels of individuals, for example a range from a patient family member to a physician.
• Abide by confidentiality/privacy/security polices and practices as defined by Minnesota Epilepsy Group and HIPAA regulations.
This job description is not intended to be all-inclusive and may be expanded to include other duties and responsibilities that Management may deem necessary.
Minnesota Epilepsy Group PA is an equal opportunity employer
Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 11 000 students and more than 400 professors. Our campuses are located in Espoo and Helsinki, Finland.
We are now looking for:
Professor of Brain-signal Analytics to build his/her research program for making fundamental advances in science as an integral part of the vibrant scientific community of Aalto University.
The position will be filled primarily at the Assistant or Associate Professor level. However, we also welcome applications by outstanding scientists for Full Professor level appointment.
Your working environment
Health and wellbeing is one of the seven key research areas of Aalto University, and neuroscience and neurotechnology is a strategic focus area of the School of Science. The continued development of this field is vital for reaching Aalto’s strategic objectives in scientific excellence and societal impact. The tenure-track position will be placed in the Department of Neuroscience and Biomedical Engineering (NBE, http://nbe.aalto.fi/en/) where research methods range from cellular patch-clamp techniques to human neuroimaging using, e.g., magnetoencephalography (MEG), electroencephalography (EEG), functional magnetic resonance imaging (fMRI), near-infrared spectroscopy (NIRS), and navigated transcranial magnetic stimulation (nTMS) combined with EEG.
NBE and its predecessors are world-renowned for their development of many of these technologies and their use in systems and cognitive neuroscience. The most advanced MEG (Elekta/MEGIN Ltd) and TMS (Nexstim Plc) devices are manufactured by spinoff companies of laboratories that now constitute NBE (Brain Research Unit of Low Temperature Laboratory and Laboratory of Biomedical Engineering). Current technology development (funded by ERC, FET Open, NIH, Academy of Finland and Erkko Foundation) at NBE includes the development of hybrid MEG–MRI systems, high-resolution MEG based on optically pumped magnetometers (OPMs), high-definition NIRS, and multi-locus TMS combined with EEG and fMRI.
NBE hosts and develops a national open-access research infrastructure, Aalto NeuroImaging (ANI, http://ani.aalto.fi/en/) with 306-channel MEG, 3-tesla f/MRI, nTMS, and a behavioral laboratory. MEG and nTMS equipment are also available at the hospital campus’s BioMag Laboratory (jointly owned by Aalto, University of Helsinki and Helsinki University Hospital).
NBE’s experimental research focuses on human sensory and motor functions, cognition, social interaction, emotional responses, and language processing. Experimental designs vary from tightly controlled to naturalistic stimulus designs. Neuroscience at NBE is intimately tied with the development and application of novel data-analysis methods, including machine-learning and complex-network analysis approaches that together with the advanced neuroimaging and -stimulation techniques enable major advances in the depth and range of neuroscience questions that can be addressed. NBE has close contacts and collaboration with the University of Helsinki, Helsinki University Hospital and the MEG and TMS manufacturers, as well as active collaboration with other departments of Aalto University and other Finnish universities.
Your experience and skills
You have strong motivation and skills to develop and apply advanced signal-processing and estimation-theoretical methods to analyze data obtained from the brain by MEG, EEG, fMRI, or NIRS, ideally across multiple imaging modalities. When appropriate and useful, the signal-analysis methods can take advantage of sophisticated brain or tissue modeling and a priori information about brain activity and behavior.
You will strengthen the faculty of NBE with an expertise gained from your previous innovative brain-signal-analysis studies. You are expected to act as a teacher in Aalto Master’s Programme in Life Science Technologies. Good knowledge and experience in neuroscience, neurotechnology, neurology, or related fields are considered essential for the job. You have excellent skills in mathematics and modern data-processing methodology and are able to develop practical and reliable methods that help solve the most urgent needs in experimental human neuroscience where signals from the brain must be interpreted for the benefit of science and the patient.
As a professor at Aalto, you are expected to exercise and guide scientific research, to provide related higher academic education, to follow the advances of your field, to serve the Aalto University community, and to take part in societal interaction and international collaboration in your field.
As an applicant you will be reviewed on the basis of your research, teaching and academic leadership and activity in scientific community.
Ready to apply?
If you want to join our community of game changers please submit your application through our recruitment system by June 13, 2018. http://www.aalto.fi/en/about/careers/jobs/view/1847/
Please include in your application (pdfs in English)
• Curriculum Vitae
• List of publications (with max 10 most significant publications for this call highlighted)
• Research statement describing past research and plans for future research (max two pages)
• Teaching portfolio
• Contacts for References
Please find general instructions for applicants, including language requirements and guidelines for compiling teaching portfolio and CV at www.aalto.fi/en/tenure_track/for_applicant .
If you wish to hear more about the position, you can contact
Head of Department, Professor Risto Ilmoniemi, tel. +358 50 5562 964 or, in recruitment process -related questions, HR-coordinator Mari Kaarni, tel. +358 50 316 0961. E-mails: firstname.lastname@example.org.
We are looking for an excellent candidate for a three year PhD position at Swinburne University of Technology, Australia. The position is funded based on the condition for SUPRA-award
The aim of the project is to study the information transfer between brain areas during eye - hand coordination tasks. The project involves collecting and analysing magnetoencephalography data (MEG) from humans. The project would suit someone with an interest in gaining experience in signal processing of biological data. The student should have strong analytical skills and should also have an interest in working in a multidisciplinary environment.
Interested candidates should send academic transcripts, CV and a letter of intent to Tatiana Kameneva, email@example.com.
We are looking for a PhD level post-doctoral fellow researcher in brain imaging analysis at Cleveland Clinic Center for Behavioral Health Research. The researcher will work with the Principal Investigator in conducting research in neurobiological basis of neuropsychiatric disorders, using brain imaging and bioinformatics techniques to combine behavioral data, imaging data and human genetic datasets. High degree of mathematical and programming expertise required. Use operating systems such as Linux, Unix and Matlab as well as Brain Imaging Analysis software. Be able to use statistical packages such as SPSS, SAS or R to conduct analysis. Coordinate data collection, organization and analysis and preparation of publications and grant applications. Ensure accurate and satisfactory implementation of research protocols and comply with requirements of all regulatory bodies.Please contact Professor Amit Anand MD (email: firstname.lastname@example.org)
Institute: The Children’s Hospital of Philadelphia (Department of Radiology and Lurie Family Foundations' MEG Imaging Center)
Application deadline: June 15th of 2018
Responsibilities: We are looking for two highly motivated postdoctoral candidate to work on projects using MEG and structural MRI to study brain development (function and structure) in (1) typical developing infants and toddlers and (2) typically developing children and adolescents and children and adolescents with Autism Spectrum Disorder. You will be part of a collaborative multidisciplinary team (neuroscientists, physicists, psychologists, and study coordinators, research assistants and technicians). You will work on collecting and analyzing MEG data (infant MEG system and adult MEG systems), and help to write MEG + MRI papers for longitudinal studies examining brain development. MEG analyses focus on primary sensory encoding (auditory, visual, somatosensory), face recognition, and resting-state brain activity. Both postdoctoral positions are for 2 years, with the possibility to extend 3 additional years. These positions provides an almost unique opportunity to learn how to conduct longitudinal multimodal imaging studies in younger populations.
Work environment: The Lurie Family Foundations’ MEG Imaging Center at The Children’s Hospital of Philadelphia (CHOP) is equipped with 3 MEG systems (CTF, Elekta, Artemis 123), a research dedicated MRI (3T Prisma), and 6 clinical/research MRIs. The mission of the research group is to conduct cutting-edge multimodality imaging research in typically developing children as well as children with Autism Spectrum Disorder and developmental disorders (e.g., intellectual disability, Rett syndrome, 47-XYY, 16p11.2 deletion). CHOP is a very highly ranked children’s hospital in the USA. Our center currently hosts 7 PhD researchers, 4 PhD Clinical Psychologists/Neuropsychologists, 6 MEG/MRI technicians, 2 postdocs, and 8 research coordinators and assistants, offering a multidisciplinary research environment. Additional information is available at: https://imaging.research.chop.edu/.
The candidate should have a PhD in neuroscience, psychology, biomedical engineering, cognitive science, or related fields. The candidate should have good interpersonal skills, with experience working with a multimodal brain imaging team a benefit. Experience conducting electrophysiology research (EEG or MEG) is required. Previous experience conducting brain imaging research with infants and children is an advantage but not required. Salary is competitive.
Both positions are available starting immediately, but the start date is negotiable. Interested applicants should email J. Christopher Edgar (email@example.com) their CV and a separate letter describing research background and interests and why you feel you are a good fit for the infant or child/adolescent research project and this research team. Please also send two or three letters of recommendation.
Children's Hospital of Philadelphia is committed to providing a safe and healthy environment for its patients, family members, visitors and employees. In an effort to achieve this goal, employment at Children's Hospital of Philadelphia, other than for positions with regularly scheduled hours in New Jersey, is contingent upon an attestation that the job applicant does not use tobacco products or nicotine in any form and a negative nicotine screen (the latter occurs after a job offer).Children's Hospital of Philadelphia is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability or protected veteran status.
we are happy to announce the opening of two new research positions to support the MNE-CPP project (www.mne-cpp.org). Both positions are full-time and set for three years. The positions are embedded in a collaborating research grant between the German Technische Universität Ilmenau (www.tu-ilmenau.de/bmti) and the Private University for Health Sciences, Medical Informatics and Technology (UMIT), Hall i. T., Austria (www.umit.at/iebe), funded by Deutsche Forschungsgesellschaft (DFG) and Austrian Science Fund (FWF). The overreaching goal of the project is to estimate functional brain connectivity in real-time and develop closed-looped-non-invasive brain stimulation setups. Project cooperation partners are the Martinos Center for Biomedical Imaging, Boston Children’s Hospital, Jena University Hospital, University Salzburg. The work is to be integrated into the MNE-CPP project and its MNE Scan software application. The opening positions at a glance:
• Project duration: 3 years
• Start date: Within the next 6 months
• Primary sites of work: 1 x BMTI (Ilmenau, Germany) and 1 x UMIT (Hall in Tirol, Austria)
• Project PIs: Prof. Dr.-Ing. Jens Haueisen and Prof. Dr.-Ing. Daniel Baumgarten
• 40h/week (full-time)
• Enrollment into Ph.D. program possible
Applicants must fulfill the following requirements:
• Master or Ph.D. degree
• Fluent in English
o Fluent in German is a plus
• Advanced experience in C-Plus-Plus programming and general software development
o Experience with the Qt and Eigen toolboxes is a plus
• Interest and/or background in computational neuroscience
o Non-invasive brain stimulation and/or functional connectivity estimation
• Advanced understanding of and experience in signal processing (ideally with MEG/EEG)
The Technische Universität Ilmenau is a sponsor of the E-Quality standard. Both universities especially encourage women to apply. Applicants with disabilities are, in case of equal fit, skills and experience, favored during the application process. We are looking forward to hearing from you. Please send your application (including CV, degree certifications and possible references) to either: firstname.lastname@example.org or email@example.com.
Applications are invited for a prospective PhD candidate at the Department of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India. The candidate will work on a Wellcome Trust/DBT India Alliance funded project involving Transcranial magnetic stimulation (TMS), EEG and MEG studies in patients with Parkinson’s disease. Candidates with strong technical background (Master’s degree in basic sciences/ engineering/ neuroscience) and prior knowledge of MATLAB are eligible to apply. Experience with EEG/MEG signal processing is a plus. Admission to the PhD program at the institute is subjected to the candidate qualifying the NIMHANS online entrance test and interview. The entrance test may be waived if the applicant has cleared any of the DBT/UGC/CSIR/ICMR qualifying exams.
For further details on the PhD admission procedure, please refer to the prospectus on the institute’s website (http://www.nimhans.ac.in/sites/default/files/NIMHANS_Prospectus%202018-19%20Final%20%281%29.pdf) .
Application deadline for July admission: 4th February, 2018