______________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/
JC e-mail 4372, de 26 de Outubro de 2011. | ||||||||
|
DIRECTOR, CENTER FOR MOLECULAR AND BEHAVIORAL NEUROSCIENCE, RUTGERS UNIVERSITY-NEWARK
The Center for Molecular and Behavioral Neurosciences (CMBN) at Rutgers, Newark was created a quarter of a century ago and has grown into a leading research center in Neuroscience, with a solid group of world-class faculty whose research spans systems, behavioral, and computational neuroscience, with methodological approaches as varied as electrophysiology, neuropharmacology, and functional imaging. Moreover, Neuroscience research on the Rutgers Newark campus is growing with hires in social and affective neuroscience in the Department of Psychology, cellular neuroscience in the Department of Biology, and the recent establishment of an interdepartmental Rutgers Brain Imaging Center.
CMBN is ready to move into a new era with new opportunities and a new vision. A number of faculty positions have opened up, and this presents an opportunity to rebuild and reconfigure CMBN. Rutgers Newark therefore invites applications for the position of Director of CMBN to guide this transition. We are seeking a world class leader in neuroscience to direct CMBN and to integrate the existing expertise and facilities into an even more impressive neuroscience community.
In addition to outstanding communication and interpersonal skills, candidates must have a PhD and/or MD degree, a sustained track record of distinguished scientific accomplishments and external grant funding in an area related to CMBN's research interests, and a demonstrated commitment to excellence in post-graduate training. The Director will support the development of research activities at CMBN based on a clearly articulated scientific vision, and foster increased interactions with other Neuroscientists in the Psychology and Biology Departments of the Rutgers-Newark Campus. The Director is also expected to maintain a grant funded research program in his/her own laboratory, and play a key role in the recruitment of new faculty.
Professorial appointment with tenure will be made to the successful candidate. Salary is highly competitive and commensurate with qualifications and experience. Rutgers University is an equal opportunity employer and encourages the applications from qualified women and minority candidates.
Please send a letter of application and curriculum vitae to:
Dr. Alexander E. Gates
Vice Chancellor for Research
Rutgers University
123 Washington Ave., Ste. 590
Newark, NJ 07102-3026
For further information about CMBN and Rutgers-Newark, see the following
websites:
Osteoarthritis, specifically of the knee joint affects 8.5 million people in the UK alone, and with a rapidly ageing population the cost-effective diagnosis, understanding and treatment of the disease is becoming rapidly more important. In this context the Human Performance Group led by Professor Alison McGregor works on joint kinetics, kinematics and motor control of the knee as part of the Medical Engineering Solutions in Osteoarthritis Centre of Excellence in the Biodynamics Laboratory at the Charing Cross Hospital Campus (Hammersmith).
In collaboration with the Machine Learning & Motor control group headed by Dr Aldo Faisal (Department of Computing & Department of Bioengineering), we want to explore the feasibility of machine learning techniques, such as latent variable models of time series, to classify and analyse both motor control and joint kinematics (motion) time data to detect the early onset of Osteoarthritis. The aim is to develop biomarkers of disease that are defined not ‘by eye’ but instead in a principled way by machine learning techniques.
This project is part of a greater research program, as Imperial College has been awarded almost £11million over 5 years by the Wellcome Trust and EPSRC for a Medical Engineering Solutions in Osteoarthritis Centre of Excellence. There are a number of departments, divisions and institutes across Imperial College participating in this Centre which will bring together a critical mass of engineers, clinicians and basic scientists, collaborating to use technology to improve the diagnosis, understanding, surgical management and rehabilitative treatment of osteoarthritis.
As part of this exciting new initiative applications are invited for a Research Associate to work on a 1-year pilot project that will focus on exploring the use of advanced machine learning techniques. The successful applicant will work between the Charing Cross Campus, located in Hammersmith (Clinical group) and the South Kensington Campus (Engineering group).
Applicants should have a PhD or equivalent qualification in computing, physics, engineering or maths and have significant training and experience in machine learning or related fields, such as time series analysis, speech processing or computational neuroscience.
For an informal discussion please contact Professor Alison McGregor email
(a.mcgregor@imperial.ac.uk) or Dr Aldo Faisal (a.faisal@imperial.ac.uk)
Our preferred method of application is online via our website http://www3.imperial.ac.uk/
Reference number: SM126-11
Research Associate
Salary Range: £27,400 - £34,820 per annum
Closing date: Till filled
We are seeking highly motivated candidates for a post-doctoral position (2 years) at the Neuroengineering and Bio-Nano Technology Group (NBT), University of Genova, Genova, ITALY.
The candidate will be involved in the recently funded European Project BRAIN-BOW. It is a great chance to join this project since it is the first ever funded project in the call “FET Young Explorers”. A tight interaction with young and dynamic high-level partners of the consortium (University of Bordeaux, France; Italian Institute of Technology, Italy; University of Tel Aviv, Israel) is foreseen.
The project has the ambitious goal to study and develop a new class of neuroprosthetic devices aimed at treating those diseases where a portion of brain tissue is damaged. The main aim is to develop a proof-of-concept in which at in vitro level a neuronal assembly is connected to an artificial system (a neuromorphic chip) mimicking a lost neuronal functionality and substituting a biological counterpart (i.e., an in-vitro neuronal assembly).
In particular, the candidate will be devoted to develop large-scale computational models of neuronal networks to be dynamically and bidirectionally interfaced to biological assemblies. Such artificial network models will allow to substitute a real assembly with a simulated one.
Requirements:
Candidates must have 1) a PhD in computational neuroscience, physics, engineering, mathematics or a related field; 2) Excellent programming skills in C++/C#, Python or Neuron; 3) a published record of research in the field of computational neuroscience; 4) Experience in electrophysiology is a plus.
Deadline for submitting the application is December 16th 2011. The selected candidates will be contacted for a further interview at the beginning of 2012. The earliest possible starting date is March 1st 2012 and the position will last for 2 years (possible extension to 3 years).
Our research group has a long tradition in studying network dynamics and plasticity in neuronal assemblies by using planar micro-electrode arrays (MEAs). See for example the following papers: Massobrio and Martinoia, J. Neural Eng., 2008, Pasquale, et al., Neuroscience, 2008; Chiappalone, et al., Eur. J. Neurosci., 2008; Massobrio, et al., Neurosci. Lett., 2009; Garofalo, et al., PLoS ONE, 2009.
Our labs are located in Genova, a small beautiful town in northern Italy, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genova is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h).
Applications must include an extended CV, a motivation letter, the most relevant papers and names and addresses of two references. If you are interested, please send your application to:
Dr. Paolo Massobrio
e-mail: paolo.massobrio@unige.it
Tel: +39-010-3532761
Prof. Sergio Martinoia
e-mail: sergio.martinoia@unige.it
Tel: +39-010-3532251