Jobs

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Research Assistant, Northern Ireland, UK


Applications are invited for a post of Research Assistant in Neuro-imaging Technology.  The post-holder will be responsible for all of the activities related to the day-to-day operation and upkeep of the MEG lab at the Northern Ireland Functional Brain Mapping facility, ensuring adherence to the highest professional standard of clinical practice. The post is currently for 28 months, with possibility for further extension subject to securing funder’s approval. 
Location: Magee campus, Ulster University, Derry~Londonderry, Northern Ireland, UK.
Salary: £26,844 to £32,022                                                     Closing Date: 4th April 2017
 
Northern Ireland Functional Brain Mapping (NIFBM) facility
The NIFBM is located at the Intelligent Systems Research Centre (isrc.ulster.ac.uk) of Ulster University, Magee campus, Derry~Londonderry.  It is the only brain imaging facility anywhere in Ireland and only one of nine in whole of UK to use a state-of-the-art magnetoencephalography (MEG) to measure brain activity. The facility attracts clinicians and researchers from across Northern Ireland as well as Republic of Ireland. It is equipped with the latest whole head 306 channels Elekta Neuromag MEG TRIUX system, which also includes a 128-channel EEG recording system. We offer several advanced techniques for brain stimulation and analysis that allow us to obtain better results and guarantee a high quality service for both research and clinical applications. The ISRC is a major research unit in the Faculty of Computing and Engineering and hosts around 80 researchers including academic staff, research associates and PhD students organized in four research teams: Neural Systems and Neuro-technology, Computational Neuroscience and Neural Engineering, Cognitive Robotics, and Ambient Intelligence and Virtual Worlds. Based at ISRC, the successful candidate will have an opportunity to interact with researchers from related ISRC teams as well as Biomedical Sciences Research Institute (5* research rating), and the recently developed Centre for Stratified Medicine at Ulster University.
 
Eligibility Requirements
An eligible candidate should have a degree in Computing Science, Electronic Engineering, Bio-medical Engineering, Medical Physics, Neuroscience, Psychology, or Medicine or a higher degree in the same or related discipline, subject to demonstration of substantial neuroimaging expertise. A completed (or about to be completed) PhD degree in an area relevant to the post will be highly desirable. It is also required that a candidate:
  • Has extensive hands-on experience of operating an MEG system including system tuning, protocol design, setting up experiments and stimulations, and data acquisition;
  • Has experience in a system admin role for running a local network and ability to co-ordinate and schedule appointments with patients/subjects.
  • Has strong software skills as evidenced by the ability to design and develop stimulation paradigms and/or bio-signal processing algorithms and/or computational models in one of MATLAB, C, C++, Java, C#, Python, or neuroimage analysis tools for MEG scans;
  • Is a self-motivated individual, enjoys working in a team and interacting with researchers and study participants.
Please apply on-line by visiting either our university web-site http://www.ulster.ac.uk/jobs or the advertisement appearing at: http://www.jobs.ac.uk/job/AXT246/research-assistant-in-neuro-imaging-technology/
For more information, please contact Prof. Girijesh Prasad, Principal Investigator & Director NIFBM. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. , Phone: 028 71675645.  

Research Associate, Northern Ireland, UK


Applications are invited for a Post-Doctoral Research Associate (PDRA) in functional brain mapping (FBM) to work on a project aimed at discovering neuromarkers that facilitate stratification of patients with Alzheimer´s disease. The position is currently for 2 years, with possibility for further extension subject to securing funder’s approval.
Job Ref (http://www.ulster.ac.uk/jobs):1632872             Salary: £26,844 to £39,347    Location: Ulster University, Magee campus, Derry~Londonderry      Closing Date: 4th April 2017
                                                               
Duties
The successful candidate will use MEG data recorded during cognitive tasks, stimulations, and resting state protocols to explore functional connectivity and other appropriate measures for characterizing individuals with different stages of AD and detecting individuals at the risk of developing AD. S/he will also develop and evaluate methods for assessing treatment effects on individuals with AD in collaboration with industry.
 
Northern Ireland Functional Brain Mapping (NIFBM) facility
The NIFBM is located at the Intelligent Systems Research Centre (isrc.ulster.ac.uk) of Ulster University, Magee campus, Derry~Londonderry.  It is the only brain imaging facility anywhere in Ireland and only one of nine in whole of UK to use a state-of-the-art magnetoencephalography (MEG) to measure brain activity. The facility attracts clinicians and researchers from across Northern Ireland as well as Republic of Ireland. It is equipped with the latest whole head 306 channels Elekta Neuromag MEG TRIUX system, which also includes a 128-channel EEG recording system. We offer several advanced techniques for brain stimulation and analysis that allow us to obtain better results and guarantee a high quality service for both research and clinical applications. The ISRC is a major research unit in the Faculty of Computing and Engineering and hosts around 80 researchers including academic staff, research associates and PhD students organized in four research teams: Neural Systems and Neuro-technology, Computational Neuroscience and Neural Engineering, Cognitive Robotics, and Ambient Intelligence and Virtual Worlds. Based at ISRC, the successful candidate will have an opportunity to interact with researchers from related ISRC teams as well as Biomedical Sciences Research Institute (5* research rating), and the recently developed Centre for Stratified Medicine at Ulster University.
 
Eligibility Requirements
An eligible candidate should have a degree in Computing Science, Electronic Engineering, Physics, or a closely related discipline, or a higher degree in the same or related subjects. Applicants with other relevant degrees e.g. medicine, neuroscience or biomedical sciences may also be considered, subject to demonstration of substantial neuroimaging expertise. A PhD degree in an area relevant to the post is also an essential requirement. It is also required that a candidate:
  • Has extensive hands-on MEG experience including protocol design, setting up experiments and stimulations, and data acquisition;
  • Has strong skills and expertise in MEG analysis using modern tools such as Fieldtrip, SPM, MNE, and/or Brainstorm;
  •  Has research track record in cognitive neuroscience and/or Alzheimer’s disease supported by at least two high quality journal publications suitable for submission in to UK’s Research Excellence Framework (REF);
  • Is a self-motivated individual, enjoys working in a team and interacting with researchers and study participants.
Please apply on-line by visiting either our university web-site http://www.ulster.ac.uk/jobs or the advertisement appearing at:
For more information, please contact Prof. Girijesh Prasad, Principal Investigator & Director NIFBM. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. , Phone: 028 71675645.

Postdoc, Boston, US


Location: Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and Harvard Medical School
 
Description: Signal processing, Cognitive Neuroscience
 
Project: Multimodal neuroimaging (MEG, f/MRI, DTI) of speech and language in neurodevelopmental disorders
 
Summary: The position will involve investigating the organization and disruption of speech and language processes in individuals with autism and other developmental disorders, and the effects of various interventions. We propose to use cutting edge tools and analysis methods to probe structural and functional networks in the brain. Applicants should be familiar with MEG and/or fMRI methods and have advanced neuroimaging data analysis skills.  Training in clinical research and testing will be provided, making this an excellent opportunity for applicants interested in translational research.
 
Requirements: Applicants with a Ph.D. in Cognitive Neuroscience, Biomedical Engineering, or a closely related field are encouraged to apply. Ideal candidates will have prior experience with data collection, image processing (e.g.. Freesurfer, FSL, AFNI), MEG/EEG analysis software (e.g. MNE,
SPM/Fieldtrip) and be proficient in computer programming (e.g. Matlab,Python,C) and statistics. Good written communication skills and attention to detail are essential. A background in experimental psychology or linguistics would be a plus though not required. The postdoctoral fellow is expected to work independently, as well as with other Center investigators in a fast-paced environment.
 
Position is available immediately. Interested applicants should email (i) CV,(ii) statement of postdoctoral goals (iii) writing sample (iv)recommendation letters and/or contact information for three references to:
Maria Mody, Ph.D. ( This email address is being protected from spambots. You need JavaScript enabled to view it. ). Salary will be in keeping with experience and NIH guidelines. A two-year commitment is required.

MEG-Physicist/Engineer, Oldenburg, Germany


The newly founded Neuroimaging Center at the European Medical School of the University of Oldenburg, Germany, offers a position for an MEG-Physicist/Engineer (E13/TV-L, initially 3 years).
The Neuroimaging Center hosts a state of the art magnetoencephalograph (Elekta Triux) and a magnetic resonance tomograph (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment (e.g. the DFG Cluster of Excellence "Hearing 3 All") with a strong research focus on neurosensory, neurocognitive, and medical research.
We seek for a highly motivated candidate  with an academic university degree. The position requires a degree in physics, engineering, neuroscience, or psychology with documented research experience in magnetoencephalography methods. In addition, fluency in English is necessary. A doctoral degree is a plus. German and experience in the design of neurocognitive  experiments are desirable.
Successful candidates will be responsible for the operation and administration of the MEG-system, the infrastructure, the development and improvement of measurement and analyses techniques and user consultancy.  
The University of Oldenburg is rapidly growing and offers a vibrant scientific environment with strong foci on cognitive and sensory neuroscience and a new medical school. The European Medical School is a cooperation project between the Universities of Oldenburg and Groningen as well as four local hospitals. Oldenburg is an attractive city in Germany's northwest with excellent quality of life. It is close to Bremen, Hamburg, Groningen, and approx. 1 h from the North Sea.
The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, female candidates are particularly encouraged to apply and will be given preference in cases of equal qualification. Handicapped applicants will be given preference if equally qualified.  
Electronic applications (one pdf file) are preferred and can be send to: 
Professor Dr. Jochem Rieger: This email address is being protected from spambots. You need JavaScript enabled to view it.  
Applications by mail should be sent to: 
Prof. Jochem Rieger 
Universität Oldenburg 
Kuepkersweg 74 (W30) 
26129 Oldenburg 
Germany
The application process is open until 31.1.2017. Applications should include your CV, a list of most recent publications, and a statement of interest (max. 3 pages).

Postdoc, Sydney, Australia


A 2-year position is available for an outstanding researcher to join the Department of Cognitive Science on an ARC grant-funded program to investigate brain network maturation in children using magnetoencephalography. The primary duties of the postdoc are experiment design, behavioral training, data acquisition and analysis for studies in the ARC grant. Other duties include (and are not restricted to) manuscript preparation, conference presentation and supervision of junior team members.
Selection Criteria
You will have expertise in cognitive neuroscience which may include experience in predictive coding, auditory processing or neurodevelopment. Preference may be given to applicants whose previous research experience includes work with children or MEG.
To be considered for this role, applicants must address the selection criteria below and upload as a separate document in the application process.
Essential
PhD in neuroscience, psychology, cognitive science, biomedical engineering or a related discipline
The ability to collaborate successfully in a team
Excellent communication skills
Proven ability to publish in peer reviewed journals of a high standing
Desirable
Experience working with children
A track record of research in neuroscience/ experimental psychology
Experience with MEG/EEG or neuroimaging
Experience with Matlab, Statistical Parametric Mapping, Dynamic Causal Modelling or other forms of network analysis
Employment in this position is conditional upon holding a Working with Children Check Clearance.
Salary Package From $85,845 - $92,000 p.a. (Level A, Step 6, minimum step for a PhD), plus 17% employer's superannuation and annual leave loading
Appointment Type: Full time, 2 year fixed-term, to commence January/February 2017
Specific Role Enquiries: Dr Paul Sowman on This email address is being protected from spambots. You need JavaScript enabled to view it.  
Deadline: Sunday 8 January 2017 at 11.55pm AEDST 

Scientific writer/postdoc,Leuven,Belgium


For the Brain Imaging and Neural Dynamics Group led by Prof. Dante Mantini, we are looking for a bright and motivated scientific writer/post-doc with an engineering background and excellent writing skills.
The selected candidate is expected to support other team members on the development of new methodologies and software tools for analysis of brain activity and connectivity, but spend substantial part of the working time on the writing of scientific manuscripts reporting the research results produced by the group.
For more information on the position and the application procedure, please see the following link:

PhD,Helsinki,Finland


Please find attached and below a link to an open PhD student position in exploring sensorimotor integration in health and disease using magnetoencephalography and functional magnetic resonance imaging. Link to posting at Aalto University webpage:

Professor and Director of Neuroimaging, Melbourne, Australia


Swinburne University is seeking to appoint a Professor and Director of Neuroimaging to lead its state-of-the-art neuroimaging facility and research agenda. This important, ongoing position will provide leadership and management to the administration and scientific direction of Swinburne Neuroimaging, and will also be a member of Neuroimaging Operations Committee and Neuroimaging Executive Committee.
 
The appointee will have a proven track record in neuroimaging research, leadership and management, with their own neuroimaging research program.  They will have expertise in neuroimaging methods for functional imaging data including the modalities of MEG, fMRI and EEG.  Prior experience collaborating within clinical, cognitive and/or pharmacological areas would be advantageous as well as a strong background in physics, mathematics, engineering, computer science or related field.
 
If you are interested in learning more about this appointment and Swinburne Neuroimaging, please contact the executive search consultants undertaking this search, Dr Rohan Carr or Ms Emily Witts at The Insight Group via This email address is being protected from spambots. You need JavaScript enabled to view it.  

2 Research Associates/1 Research assistant /Software developer, Riyadh, Saudi Arabia


Research Associates---Signal processing
MEG Unit at King Fahad Medical City in Riyadh, KSA is looking for a Research Associate specializing in image and signal processing and analysis. The post-holder will research, develop and apply advanced signal processing methodologies and software tools to analyze clinical MEG and EEG data.
 
Our MEG system is a 306-channel Elekta Neuromag Vectorview system with built-in 128-channel EEG. In addition to MEG and EEG, the post-holder will have access to other neuroimaging and neurophysiology facilities, which include intracranial EEG, video-EEG, MRI, fMRI, PET-MR (soon), PET, SPECT, TMS, TCD.
The post-holder will have a leading role in research and development of signal and image analysis methods and software tools. He / she will apply these methods to clinical MEG and EEG data, and will work closely with clinicians and researchers on interpreting the results. The post-holder will be involved in the design of data analysis methodologies and procedures for specific clinical and research targets.
 
Candidate should hold M.Sc. or Ph.D. in signal processing, mathematics, computer science, bioinformatics or a related discipline; have good programming skills and experience in MATLAB programming language and environment. Experience in biomedical signal processing, or analyses of neuroimaging or neurophysiology data is an advantage. A good publishing record is also an advantage.
 
The position and salary will be commensurate with the degree, expertise and experience. Additional benefits include housing or housing allowance, transportation allowance, severance award calculated in accord with the Saudi law, air tickets from and to the point of hire at the start and end of the contract, roundtrip air tickets for annual leave and free healthcare.
 
Research Associates---Neuroscience
MEG Unit at King Fahad Medical City (KFMC) in Riyadh, KSA is looking for Research Associates, who will participate or lead studies on an approved topics of their choice relating to clinical MEG and/or translational neuroscience. The post-holders will conduct MEG experiments, manage and publish research, and participate in other research activities.
 
Our MEG system is a 306-channel Elekta Neuromag Vectorview system with built-in 128-channel EEG. In addition to MEG and EEG, the post-holders will have access to other neuroimaging and neurophysiology facilities at KFMC, which include intracranial EEG, video-EEG, MRI, fMRI, PET-MR (soon), PET, SPECT, TMS, TCD. They will have access to patient populations and may collaborate with clinicians and researchers from Neurology, Neurophysiology, Mental Health and other clinical and research departments at KFMC.
 
Candidates should hold Ph.D. or have post-doctoral experience in a field related to neuroscience or biomedical sciences. Research experience in experimental design, analyses of neuroimaging or neurophysiology data is an advantage.
 
Salary will be commensurate with the expertise and experience. Additional benefits include housing or housing allowance, transportation allowance, severance award calculated in accord with the Saudi labor law, air tickets from and to the point of hire at the start and end of the contract respectively, roundtrip air tickets for annual leave and free healthcare.
 
Research assistant /Software developer
MEG Unit at King Fahad Medical City in Riyadh, KSA is looking for a Research assistant /Software developer to develop software tools, modify existing ones and routinely use them to analyze neuroimaging and neurophysiological data.
 
The post-holder will develop and maintain MATLAB-based software tools, develop and refine numerical algorithms in signal processing and neuroimaging data analysis, modify existing software to correct errors, advance underlying numerical algorithms and improve performance, download, install and maintain scientific software applications. Additionally he/she will be involved in the analyses of neuroimaging and neurophysiological data using available software tools and will perform other related tasks as assigned.
 
Candidates should hold a degree in computer science, mathematics or a related field; have an excellent knowledge of MATLAB programming language and environment, and excellent programming skills. Any additional expertise, knowledge or experience pertaining to software development, signal processing or scientific data analysis will be considered an advantage. Salary will be commensurate with the expertise and experience. Additional benefits include housing or housing allowance, transportation allowance, severance award calculated in accord with the Saudi labor law, air tickets from and to the point of hire at the start and end of the contract respectively, roundtrip air tickets for annual leave and free healthcare. 
 
Interested candidates should send an email to Dr. Vahe Poghosyan ( This email address is being protected from spambots. You need JavaScript enabled to view it. ) including a cover letter, brief statement of research interests, curriculum vitae (CV) and names and contact details of two referees. Referees will be contacted only when you are the final candidate or one of two final candidates. Informal enquiries may also be addressed to Dr. Vahe Poghosyan.

Faculty Position, Florida, US


The University of Florida anticipates opening a new free-standing Neuromedicine Hospital in 2017. Among its many outstanding facilities will include a MEG scanner. Faculty are sought to enhance a vibrant clinicaltranslational research program in epilepsy and in MEG related work. There are currently 5 epileptologists and we aim to expand the faculty with both clinicians and researchers interested in building a comprehensive program including clinical and research indications in MEG scanning and other neurotechnologies. The opportunity will include competitive salary and benefits and a significant start-up package. Candidates can be of any academic rank (M.D., PhD, or both accepted). Contact Michael S. Okun, M.D., Chairman of Neurology, if interested: This email address is being protected from spambots. You need JavaScript enabled to view it.  

PostDoc, Toronto, Canada


A post-doctoral position is available to work with Dr. Mary Pat McAndrews at the Krembil Research Institute, University Health Network and University of Toronto. The appointment is initially for 18 months, renewable.  We are hoping to fill the position by March 1, 2016. 

The project focuses on identifying MEG signatures of activity and connectivity (resting state and task-based) in individuals with MCI and healthy elders.  In addition to MEG, the project will involve neuropsychological testing and EEG/MRI/fMRI data.  Candidates must hold a Ph.D in Psychology or Neuroscience or related area and have relevant research experience in experimental design and analyses of neuroimaging and/or EEG data. Experience with MEG or signal analysis is a definite advantage; our system is Elekta Neuromag TRIUX 306 channel MEG system with built-in 64 channel EEG. 
 
This position will provide training in areas related to neurodegenerative disorders and cognitive neuroscience and the opportunity to work in an interdisciplinary team involving neuropsychology, neurology, and computational neuroscience.
 
Applications should be sent by email ( This email address is being protected from spambots. You need JavaScript enabled to view it. ) and should include a CV, a brief statement of research interests, and names and contact information for 2 references. 

PostDoc, Edinburgh, UK


We are looking for an enthusiastic and strongly motivated researcher to join our group within the Institute for Digital Communications in the School of Engineering of the University of Edinburgh. You will work in an EPSRC-funded project on the creation of new analysis techniques based 
on tensor factorisations for dynamic brain connectivity data.
 
You will have the opportunity to collaborate with interdisciplinary partners to develop advanced signal processing techniques for connectivity analysis and further our understanding of how Alzheimer’s disease affects the brain electrophysiological activity. The main objective of the project is to create a novel framework based on tensor factorisations to investigate the components of dynamic networks resulting from electroencephalogram functional connectivity. This will include the introduction of appropriate constraints in the factorisations, and methods to compare them across subjects.
 
You should hold (or be about to receive) a PhD in signal processing,computer science, or a related numerate discipline. Experience in biomedical signal processing and/or brain connectivity analysis will be considered a plus. A good track record of international publications demonstrating prior experience is required. You should have good programming skills, a strong mathematical background, and an interest in 
interdisciplinary research.
 
This post is full time and fixed term for 13 months, to commence in April 2016 or as soon as possible thereafter.
 
The University of Edinburgh is considered one of the top universities in the world according to recent rankings. The Institute for Digital Communications, in the School of Engineering, develops theory,algorithms and hardware for the next generation of signal processing,imaging and communication systems. The Institute comprises 15 faculty members and over 65 research fellows/associates and over PhD students.In REF2014, Engineering had 94% of the overall research activity ranked as world-leading or internationally excellent.
 
Edinburgh, the capital of Scotland, offers a vibrant professional life,excellent career opportunities and a very high quality of life. It has a beautiful old part, has an abundance of café’s, restaurants and bars,and yearly hosts the Festival and the Fringe, which is the largest arts gathering in the world.
 
Interested candidates should email the Principal Investigator (Dr Javier Escudero, This email address is being protected from spambots. You need JavaScript enabled to view it. ) with an updated CV and a brief summary of interests.

PhD, Burnaby, Canada 


Drs. Doesburg, D’Arcy and Moreno are offering one PhD fellowships in Neurodevelopmental rresearch and Brain Imaging. This fellowship is funded by a Neurodevnet fellowship, http://www.neurodevnet.ca/
 
The position is part of a large project aimed at studying brain plasticity following intervention in children with autism, using different training platforms and neuroimaging techniques.
The student will be engaged in research using multimodal neuroimaging including structural MRI, fMRI, ERP and MEG, together with engineering and modeling methods and diverse data analysis tools.
 
The successful applicant will be scheduled to start in Winter 2015. The duration of the award fellowship is 4 years, with the option of continuing for a fifth year. Bursaries are in line with the fellowship scales of SFU graduate school and include research expenses. 
 
Applicants should have a masters or equivalent degree, and preference will be given to applicants with experience working with children populations, but candidates with other relevant skills such as neuroimaging and no experience working with children may be appropriate.
 
Applicants should submit a C.V. and relevant reprints, together with a cover letter describing current research interests and future research goals, and also arrange to have three letters of reference. Letters will be required if the applicant is short-listed.
 
Please submit your application and other materials to the following address: This email address is being protected from spambots. You need JavaScript enabled to view it.  

MEG Principal Investigator, Trento, Italy


The Center for Mind-Brain Sciences (CIMeC) at the University of Trento, Italy, invites expressions of interest from highly motivated scholars for a principal investigator position at the assistant (tenure-track) / associate (tenured) professor level in the magnetoencephalography (MEG) laboratory at the Center for Mind-Brain Sciences (CIMeC): http://web.unitn.it/en/cimec
 
Profile
One of the duties will be to coordinate and facilitate MEG research at CIMeC, acting as faculty coordinator of the MEG lab. Therefore a demonstration of strong organisational and collaborative skills is an asset.
Interested scholars must have an excellent research record, especially using electrophysiological techniques (M/EEG).
The successful candidate would be expected to contribute to the Center’s overall goal of delivering teaching at MSc and PhD level, and developing cutting-edge research in the area of Cognitive Neuroscience.
 
CIMeC
The CIMeC's purpose is to foster cutting-edge research on the neural underpinnings of cognition and to support the dissemination of these findings internationally and within the local community. As an interdisciplinary research and teaching center, the center draws on faculty from several departments, including Psychology and Cognitive Science, Humanities and Philosophy, Physics, Mathematics, and Information Engineering and Computer Science. Its faculty originates from Italy, Germany, The Netherlands, Belgium, USA, Canada, Argentina, Israel and beyond. Researchers study brain organization via the analysis of its functional, structural and physiological characteristics, in both normal and pathological conditions. Top-of-the-line instrumentation includes research-dedicated MRI, MEG, EEG, NIRS, TMS and eye tracking solutions, as well as systems for studying kinematics. In addition, the affiliated Center for Neurocognitive Rehabilitation (CERiN) is specialized in the study of clinical cases.
In the last 5 years CIMeC faculty have won many competitive national and international grants, including 1 European Research Council (ERC) advanced grant, 1 ERC consolidator grant, 6 ERC starting grants, other European Framework grants and highly competitive grants awarded by the local province. The center has recently been ranked the leading cognitive neuroscience research unit in Italy.
 
The University of Trento is committed to providing equal opportunities regardless of gender and race.
Expressions of interest, in the form of a brief motivation letter and CV, can be communicated to the designated search committee composed of:
Marius Peelen ( This email address is being protected from spambots. You need JavaScript enabled to view it. ) and Scott Fairhall ( This email address is being protected from spambots. You need JavaScript enabled to view it. ), preferably before November 15th, 2015.