3 Position Postings
National Laboratory of Pattern Recognition
Director Position Open
The National Laboratory of Pattern Recognition (NLPR), affiliated with the Chinese Academy of Sciences’ Institute of Automation (CASIA), Beijing, China, is looking for a full-time researcher serving as director for five-year term (2013-2017, extendible for a second term or as a researcher). The director is expected to lead the laboratory toward research soundness and visibility, through making development strategy, organizing research teams and activities.
The NLPR was founded in 1987 to become one of the first state key laboratories in China. Its research fields include the fundamentals of pattern recognition, image processing and computer vision, speech and language processing, and various applications. More information can be found at www.nlpr.ia.ac.cn/
PhD in pattern recognition or related fields
Well established and renowned in the international community
Experience of conducting key research projects and skills of team management
Professional dedication, willing to work at the laboratory in full time
CV including education and experience, research achievements, publications in the past 10 years
Thoughts of laboratory development and management
Copies of certificates of degree, awards and other support documents if any
Contact addresses of three referees
Application Submission: by August 31, 2012
Interview and Notification: by September 30, 2012
Taking position: no later than December 31, 2012
Human Resource Department, Institute of Automation of CAS
95 Zhongguan East Road, Beijing 100190, China
Boise State University
Neuromorphic Computing Group
Graduate Student Opportunities
Neuromorphic Systems Group at Boise State University has funding opportunities for doctoral students to conduct research on next-generation computing systems based on neural learning. The multidisciplinary research involves synergistic development of nanoscale memristive (synaptic) devices, mixed-signal circuits and novel neural learning architectures. This research program will lead to development of pathbreaking computing architectures which can mimic learning in a mammalian brain and revolutionalize the way we compute, communicate and perform signal processing.
We seek talented and motivated graduate students in all the following areas:
· Nanoscale memristive device design, fabrication and modeling
· Mixed-Signal integrated circuit design
· Neural learning and pattern recognition system architectures
Descriptions of the projects planned and the skills necessary are listed below. If you are interested in one of these positions, please contact the designated person with: a current CV, sample thesis, journal or conference paper, unofficial transcript, GRE/TOEFL scores and a carefully worded description of what you bring to the project and why the project is of interest to you.
PhD Candidate 1: Mixed-Signal IC Design
· Neuromorphic custom circuit design for reconfigurable digital computing using memristive devices all integrated on a chip. Interfacing with FPGAs for read-out and test.
· Mixed-signal circuit implementation of artificial neural networks (ANNs) using memristive devices, all integrated on a chip.
· Involves translation of neural learning algorithms into chip hardware design.
· Required skills include signal processing; analog and digital circuit design, the ability to develop proficiency in new fields, and expertise in technical writing.
PhD Candidate 2: FPGA prototyping for neural training
· Utilize FPGA to implement training algorithms for synaptic arrays and neurons fabricated on a chip.
· Skill set required same as position #1
PhD Candidate 3: Machine and biometric learning algorithms for silicon neurons
· Develop silicon biometric learning algorithm based on Hodgkin-Huxley conductance based model of a neuronal membrane
· Develop machine learning algorithms for neuromorphic computing
· Develop learning algorithms that do not require external training
· Required skills include programming, machine learning, basic circuit analysis, the ability to develop proficiency in new fields, and expertise in technical writing.
PhD Candidate 4: Neuromorphic hardware development
· Design of embedded systems using neural learning chips and FPGAs.
· Required skills include expertise with FPGA, Verilog, hardware design skills, the ability to develop proficiency in new fields, and expertise in technical writing.
More information on the graduate programs in ECE at Boise State University is available at the link:
Open Position for a Chair Professor in Signal (and Image) Processing - Sweden
Luleĺ University of Technology is in an expansionary phase and is strengthening the information and communications technology field. One part of this effort is the recruitment of a professor in the research field of signal processing, with the task to lead the research subject and build a strong team.
Current research in signal processing is focused on measurement techniques, image analysis and telecommunications.
Deadline for application:
September 30 2012, ref. nr 1492-12
Jonas Ekman, Head of department
Tel: +46 920-49 28 28
More information here.
If you have any questions about living and working in Luleĺ and emigrating to Sweden please feel free to contact Matthew Thurley (firstname.lastname@example.org) who leads the industrial image analysis group within signal processing.
Matthew grew up in Australia and moved to Luleĺ six years ago with his young family. "I have found excellent opportunities to build research projects, enjoy a relaxed lifestyle close to nature, and be part of a very family friendly society with excellent opportunities for my children."