Academic
Industrial and Manufacturing Engineering, North Dakota State University
Two Tenure Track Positions at Assistant/Associate Professor level:

[1] Manufacturing Engineering:  Technological focus in manufacturing process engineering and/or production engineering.  Program is oriented towards process, systems and industry modeling, product realization, and industry-specific manufacturing.  Application letter should outline your concepts of manufacturing process engineering and/or production engineering.

[2] Enterprise Engineering:  Technological focus in production operations, industrial systems and/or manufacturing systems engineering.  Position is oriented towards engineering economic systems, enterprise management tools, information systems, applications of industrial management tools to service industries, and analysis of service and manufacturing firms and industries.  Application letter should outline your concepts of enterprise engineering.

Department has strong record of close relationships with industry, especially with aircraft and general metal-products manufacturing, with growing applications in electronics and plastics/composites manufacturing.  Learning emphases are on problem-based learning and on effective interaction between faculty scholarship and student learning.  Tenure requires excellence in scholarship and in instruction, as well as effective service.  Application letter should also concisely discuss your teaching and research interests in manufacturing engineering and/or industrial engineering and briefly indicate your preferences for community and professional service. Qualifications: demonstrated expertise in manufacturing process engineering, production engineering and/or industrial engineering (emphasizing enterprise integration); w familiarity with product realization and/or with current theories and software tools of enterprises engineering; an earned doctorate in manufacturing engineering, industrial engineering or a related field; strong orientation towards teaching; demonstrated capability and interest in scholarly investigation; high-grade skills in professional writing and speaking.  Desirable attributes include: some direct industrial experience; understanding of and/or experience with aircraft, metal products, electronics, and/or plastics/composites manufacturing; experience with non-traditional learning processes. Environment:  Fargo is noted as one of the most livable cities in the United States; affordable housing, first-class school system, excellent parks, rich and varied cultural activities; convenient shopping.  It's a wonderful place to raise a family.  NDSU is a progressive university, where professional growth is supported and new ideas are welcome.  It's a great place to grow a career. Positions are to start for Fall Semester, 2000.  Evaluation of applications will begin immediately and continue until the position is filled.  To assure most favorable positioning, you should respond by 30th June 2000.

Send letter of application, complete resume and four professional references (including email addresses) to  *  Dr. David L. Wells; Chair, Industrial and Manufacturing Engineering; North Dakota State University; Fargo, North Dakota  58105 or to David_L_Wells@ndsu.nodak.edu.  North Dakota State University is an equal opportunity employer.
Parallel and Artificial Intelligence, University of Fribourg, Switzerland
The Parallelism and Artificial Intelligence (PAI) group is a dynamic team involved in hot research topics related to new information and communication technologies. His interests encompass namely the methodologies of Autonomous and Adaptive Systems, Collective Intelligence, Evolutionary Computing, Agent Technology, and Web operating Systems, but also the field of Human Computer Interaction, where it addresses specifically the Immersive trend and Pervasive Computing, namely with Force-Feedback Interaction and Sound imaging. For the launching of his new WELCOME header project, it is now opening a

Post-Doctoral Research Position
The position is intended for an enthusiastic postgraduate, who have terminated her/his studies for a doctorate. The candidate will participate in the research activities that are conducted within the WELCOME project (gzip'd postcript description of the project available at http://www-iiuf.unifr.ch/pai/index.html/Welcome.ps.gz). Her/his duties will consist in (i) developing Agent-based methodologies for Internet-based infrastructures, or (ii) tackling Human Computer Interaction issues, together with supervision of two Ph.D research works. As far as possible she/he will promote industrial applications of her/his research, and build contacts with external academic or commercial organizations. An open-mind to interdisciplinary approaches and to non-standard innovation techniques will be appreciated. The position is to be taken in early spring 2000 (or at convenience). It is granted for two years by the Swiss National Foundation for Scientific Research (with a possibility of renewal once). Job location is Fribourg, a french-german bilingual middle-size city in Switzerland.

The requirements
Education: Ph.D in Computer Science; Ability to speak, read and write French or German or English; Proficient at one or several topics, such as:
       Intelligent Networks, Distributed Systems and/or Coordination Languages,
       Agent Technology
       Human Computer Interaction, Immersive and Pervasive Computing,
       Force-feedback interaction, Augmented or virtual
       reality, Sound Imaging
       Evolutionary Computing, Artificial Life
       Object-Oriented design techniques, Java programming, Jini technology

Applications with CV and research paper list must be sent to (Email submissions are encouraged):
       Prof. Béat Hirsbrunner
       University of Fribourg, ch. du Musée 3, CH-1700 Fribourg
       Tel.: +41 (079) 611 72 48
       Email: beat.hirsbrunner@unifr.ch
Computing and Engineering, University of Sunderland, UK
The School of Computing, Engineering and Technology draws together the disciplines of Computing, Information Systems, Engineering and Technology.  It enjoys a strong student base and a growing research profile, and provides first-class computing facilities. The School has almost 2M per annum income from research and over 100 registered PhD research students.

The School is looking to strengthen its staffing complement with a number of key appointments. All posts require an honours degree, and a Higher Degree in a relevant area.  A relevant PhD and Membership/Fellowship of the British Computer Society would be a strong advantage.  Excellent communication skills are essential.

Professor of Software Engineering
With an international research profile and a good publication record you will provide strong leadership in Software Engineering. You will conduct teaching and research, and will make a major contribution to our research culture, demonstrating experience in leading research; developing external links; managing research funding; and supervising research students. Reference: CET

Principal Lecturer in Computing 28,978 - 36,436
A proven team-worker with experience of leadership and module/programme design, you will lead, motivate and develop a team of staff on our MSc Programme.  You must be currently research active, and able to deliver high quality, innovative teaching and research.  You will create and develop external links in the UK and Europe, and some travel will be required. Reference: CET

Lecturer / Senior Lecturer in Computing (6 posts) 14,902 - 30,636
Experienced in research and with proven teamworking, organisational and administrative skills, you will undertake high quality teaching, research and reach-out activities.  We require staff with specialised knowledge in: Computer Systems; Software Engineering; Multimedia/Media Systems/ Human-Computer Interaction; Intelligent Systems; Information Systems; Systems Design. Reference: CET

Informal enquiries are welcomed by Professor Peter Smith on tel (0191) 5152761 or email peter.smith@sunderland.ac.uk. Application is by CV with a covering letter detailing current salary and full contact details of two referees, to the Personnel Department, University of Sunderland, Langham Tower, Ryhope Road,
Sunderland, SR2 7EE or email employee.recruitment@sunderland.ac.uk quoting appropriate reference number.

A relocation package is available in approved cases. Working Towards Equal Opportunities
Institute for Autonomous Intelligent Systems, German National Research Center for Information Technology, Germany
New doctorate and Postdoc research positions are open immediately at the German National Research Center for Information Technology (GMD, http://www.gmd.de/) in the Institute for Autonomous Intelligent Systems (AiS, http://ais.gmd.de/).

In the interdisciplinary arena of neural information processing, robotics, cognitive science and neurobiology, AiS will intensify its research on biologically inspired neural information processing systems. Research will focus on the aspects of stochasticity, parallelism, asynchrony, self-organization and high-bandwidth communication between subsystems. The methodological focus within AiS is on mathematical modeling and robot implementations. The biological side is substantiated by collaborations with leading neuroscience and ethological research institutions.

Within this wide field, we solicit applications of young researchers who combine a broad scientific curiosity with the desire and the training to achieve "hard" results (mathematical models, algorithms, robot implementations). The candidate should have an education in computational neuroscience, (neuro-)biology, mathematics, control engineering, computer science, physics, cognitive science or related areas. A characteristic of both PhD and postdoc positions at GMD is
intellectual freedom. The positions are not connected to pre-defined projects but admit (indeed, require) that candidates define their own research objectives within the general research framework of AiS.

For the PhD positions we expect a university degree (master, diploma). Payment will be in agreement with German BAT 2a salary (corresponding to university research assistants) in a part-time (19 hrs/week) contract. The position will be granted initially for one year, with a possible extension for two further years on mutual agreement. For the postdoc positions, we expect a PhD and a significant research record. Contracts will be full-time BAT 2a (equivalent to university
research assistants) for 2 years initially with a possible extension of one further year.

GMD is an equal opportunity employer. Full applications should comprise a CV, copies of university degrees (including marks), letters of reference, a publication list, and - importantly - a research plan. We encourage sending a preliminary application by email, consisting of a CV, a publication list, and a statement of research interests.

Please direct applications and inquiries to
Dr. Herbert Jaeger                  Phone  +49-2241-14-2253
GMD, AiS.BE                         Fax 2241-14-2384
Schloss Birlinghoven
D-53754 Sankt Augustin, Germany
email: herbert.jaeger@gmd.de
web: http://www.gmd.de/People/Herbert.Jaeger/
Computer Science, Technical University of Berlin, Germany
A postdoctoral position is available within the NI group at the Technical University of Berlin, Germany, beginning Oct. 1st 2000. The position is initially for a duration of three years, but an extension up to six years is possible.

The successful candidate may choose between the following research areas:
- computational models of visual cortex
- theory of unsupervised learning
- analysis of functional imaging data

Teaching duties include 4 hours tutoring per week (in German) during the winter and summer terms, i.e. the successful candidate must be fluent in the
German language. Interested candidates please send their CV, transcripts of their certificates, a short statement of their research interest and a list of publications to:
Prof. Klaus Obermayer
FR2-1, NI, Informatik, Technische Universitaet Berlin
Franklinstrasse 28/29, 10587 Berlin, Germany
phone: ++49-30-314-73120, fax: -73121, email: oby@cs.tu-berlin.de

preferably by email. For a list of relevant publications and an overview of current research projects please refer to our web-page at: http://ni.cs.tu-berlin.de/
The Neuroscience Institute
The Neurosciences Institute, located in San Diego, California, invites applications for a POSTDOCTORAL FELLOWSHIP to study biologically based models of behaving real world devices (robots) as part of the W.M. Keck Machine Psychology Laboratory.  Continuing previous research conducted at the Institute, this Laboratory will be focusing on the construction of autonomous robots, the design of simulated models of large-scale neuronal networks that are capable of guiding behavior in the real world, and on developing methods for the simultaneous analysis of neural and behavioral states. Applicants should have a background in computational neuroscience, robotics, computer science, behavioral science or cognitive science.

Fellows will receive stipends appropriate to their qualifications and experience.  Submit a curriculum vitae, statement of research interests, and names of three references to:

Dr. Jeffrey L. Krichmar
The Neurosciences Institute
10640 John Jay Hopkins Drive
San Diego, California 92121
Email: krichmar@nsi.edu
Fax: 858-626-2099

For a description of the project, refer to http://www.nsi.edu/nomad/. For a description of The Neurosciences Institute, refer to http://www.nsi.edu.
Vanderbilt University
Applications are invited for four 2-year postdoctoral positions starting between 1/1/1 and 1/1/2 in the Perceptual Expertise Network (PEN),  recently funded by the James S. McDonnell Foundation. There is no application deadline, and appropriate applicants will be chosen as they apply.  The network's goals are to explore how "different" brains approach object recognition and categorization by comparing normals, agnosics, autistic individuals, non-human primates, and computational models. The network is headed by Isabel Gauthier (Vanderbilt University) and includes the following PIs: James Tanaka (Oberlin College), Tim
Curran (Case Western University), Michael Tarr (Brown University), Marlene Behrmann (Carnegie Mellon University), Daniel Bub (University of Victoria), Robert Schultz (Yale Child Study Center), David Sheinberg (Brown University)  and Garrison Cottrell (UCSD).

One of the positions is to work at Vanderbilt with Dr. Gauthier, using fMRI and psychophysics to study the neural bases of visual object recognition. Two other positions may be held at any of the network's sites, with preference given to applicants wishing to spend time at multiple sites and demonstrating enthusiasm and skill for integrative and collaborative work. An additional 2-year position is available at the University of Victoria (under Dr. Bub's supervision), beginning
1/1/2. Applicants should have strong interests in detailed analyses of neuropsychological cases.

All applicants should demonstrate an outstanding background in conducting original research on the mechanisms of face and/or object recognition, or work that has theoretical relevance in this field. For all positions, the network will support attendance to triannual PEN meetings. Post-doctoral PEN fellows will have access to a many cutting-edge techniques in cognitive neuroscience, including a computer graphics designer for stimuli preparation, fMRI, ERP, computational
modeling, psychophysics, neurophysiology and neuropsychological populations (individuals with visual agnosia or autism spectrum disorders). Applicants for these positions should submit C.V., relevant reprints, 3 letters of references and a 1-2 page proposal on how they hope to combine the techniques or approaches of at least two of the PEN investigators to pursue issues in visual object representation and expertise. Applications in electronic format are encouraged (Word98 or PDF) and letters of recommendation can be sent electronically to isabel.gauthier@vanderbilt.edu. Applications can also be sent by mail to: Isabel Gauthier, Ph.D.  Assistant Professor, Psychology Departmen, 502 Wilson Hall, Vanderbilt University, Nashville, TN 37240. Phone: 615 322 1778 FAX: 615 343 8449, isabel.gauthier@vanderbilt.edu. More information can be found at: http://www.psy.vanderbilt.edu/faculty/gauthier/PENpostdocs.html
IDIAP, Switzerland
In view of a massive growth of the Institute and the development of new activites oriented towards advanced multimodal interfaces, the Dalle Molle  Institute for Perceptual Artificial Intelligence (IDIAP, http://www.idiap.ch), IDIAP currently welcomes applications of talented candidates at all levels with expertise or strong interest in the fields of speech processing, computer vision, machine learning, and multimodal interaction. The open positions include: management and senior positions (including one scientific deputy director and one speech processing group leader), project leaders, postdocs, and PhD students. It is expected that a few tenure track positions at the Assistant Professor level could also become available.

Preference will be given to candidates with experience in one or several of the following areas: signal processing, statistical pattern recognition (typically applied to speech and scene analysis), neural networks, hidden Markov models, speech and speaker recognition, computer vision, human/computer interaction (dialog).  Senior and postdoc candidates should also have a proven record of high quality research and publications. All applicants should be experienced in C/C++ programming and familiar with the Unix environment; they should also be able to speak and write in English (and be willing to learn French).

IDIAP is a semi-private research institute affiliated with the Swiss Federal Institute of Technology at Lausanne (EPFL) and the University of Geneva. Located in Martigny (Valais, CH), IDIAP is partly funded by the Swiss Federal Government, the State of Valais, and the City of Martigny, and is involved in numerous national and international (European) projects. IDIAP is mainly carrying research and development in the fields of speech and speaker recognition, computer vision, and machine learning, and is recognized as a university level research laboratory, involving permanent senior scientists, postdocs, and PhD students (usually awarded an EPFL degree). IDIAP currently numbers around 35-40 scientists. IDIAP is located in the town of Martigny (http://www.martigny.ch) in
Valais, a scenic region in the South of Switzerland, surrounded by the highest mountains of Europe, and offering exciting recreational activities (including hiking, climbing and skiing), as well as varied cultural activities. It is also within close proximity to Montreux, Lausanne (EPFL) and Lake Geneva, and centrally located for travel to other parts of Europe. PROSPECTIVE CANDIDATES should send their detailed CV to:

Prof. Herve Bourlard
Director of IDIAP
P.O. Box 592, Simplon, 4
CH-1920 Martigny, Switzerland
Email: bourlard@idiap.ch
Phone: +41-27-721.77.20; Fax: +41-27-721.77.12
EPSRC, UK
Applications are invited for a EPSRC funded 2 year postdoctoral position in computational intelligence. The principal area of investigation will be kernel methods (for example, Support Vector Machines) and their applications. The emphasis of the proposed research will be the development of new algorithms (e.g. for novelty detection, classification, query learning, etc) and theoretical work to validate this approach. The project will also include some investigation of the application of kernel methods to bioinformatics, medical decision support and engineering in collaboration with research groups in these areas.

The position is open to citizens of any nationality. Further details about the proposed research area may be obtained from our webpage http://lara.enm.bris.ac.uk/cig which has a downloadable review paper (An Introduction to Kernel Methods) describing the subject in more detail.
The closing date for applications is *** 20th August 2000 ** Further details can be obtained from:

Dr. Colin Campbell,
Dept. of Engineering Mathematics,
Queen's Building,
University of Bristol,
Bristol BS8 1TR,
United Kingdom
Email: C.Campbell@bris.ac.uk
Tel: +44 (0) 117 928 9858
Fax: +44 (0) 117 925 1154



Industry
Unilever Research
A truly multi-local multinational, Unilever are taking the needs of millions of people  across the globe seriously. We invest 550 million in pioneering new research to ensure that our products remain the preferred choice, 150 million times a day.

Adaptive Computation techniques play a key role in the development of a wide spectrum of our  product and manufacturing applications for household brands such as Impulse, Organics,  Persil, Flora and Wall's Ice Cream. Our recently established Centre of Excellence in Port  Sunlight is committed to this area as well as developing and maintaining links with leading  academics. Due to success and expansion of the Group we have a number of exciting opportunities for  talented individuals who will relish the challenge of
developing leading-edge solutions to  complex industrial problems. A combination of world-class research and an understanding of  how technology may be applied in practice will enable you to extend both your technological capabilities and application areas.

Flexible, self motivated and a strong team player with a broad scientific interest, you will  need a high level of numeracy and the ability to work to tight deadlines. Your good first  Degree encompassing a strong mathematical component should be supported by a PhD, MSc,  academic or industrial experience. Specialists in one or more of the following areas would be of particular interest:  Neuro-Fuzzy, Genetic Algorithms, Neural Networks, Data Mining, Evolutionary Systems,  Adaptive Agents, Fitness Landscapes, Machine Learning, Pattern Recognition.

As a world-leading organisation we can offer an attractive salary and benefits package and  excellent career opportunities. To take up the challenge, please write with full CV quoting ref 22429/NS to Vanessa Gilroy,  TMP Response Management, 32 Aybrook Street, London W1M 3JL. Or e-mail your details to:  response@tmpw.co.uk Closing date for applications is 19th May 2000.

For more information about Unilever Research and Unilever visit our Internet Web Site at  http://research.unilever.com
HNC Financial Solutions, a division of HNC Software, is a world leader in the development and delivery of predictive, neural networks based software solutions for the financial industry.  We offer the opportunity to work with cutting edge technology and a world class team in a casual atmosphere. Benefits include three weeks vacation, stock option grants and tuition reimbursement. HNC Financial Solutions is seeking two full time Staff Scientists to be based at our headquarters in San Diego, California. Please see job description and requirements below. To apply, please use one of the following methods:
   Mail: Resume Processing Center
   PO Box 828
   Burlington, MA 01803
   Fax: 800-438-0957
   Email: hnc@rpc.webhire.com <mailto:hnc@webhire.com>
   Online: http:\\www.hnc.com <http://www.hnc.com/>

To apply for this position, please reference job code 00-070CSD
Staff Scientist
Duties/Job Description: The individual will work with a highly motivated and talented group of scientists and engineers responsible for development of neural network-based predictive models for Falcon payment card fraud product. Falcon currently protects more than 300 million payment cards against fraudulent use around the world in five continents. Forty out of top fifty U.S. banks and sixteen out of top twenty-five international banks currently use Falcon. Job responsibilities include designing and building predictive models for payment card fraud detection based on the latest technologies in neural networks, pattern recognition, artificial intelligence, statistical modeling, and machine learning.  Specific responsibilities may vary by project, but will include analyzing huge amount of data to determine suitability for modeling, pattern identification and feature (variable) selection from large amounts of data, experimenting with different types of models, analyzing performance, and reporting results to customers. (Comment: Do not allow automatic wrap or extra returns caused by wrap, 3 total lines) Required Qualifications (Experience/Skills): MS or Ph.D. in Computer Science, Electrical Engineering, Applied Statistics/Mathematics or related fields.  Minimum two years of experience in pattern recognition, mathematical/statistical modeling, or data analysis on real world problems. Familiarity with the latest modeling techniques and tools.  Good oral and written communication skills.  Team orientation and at the same time the ability to work independently. Ability to interact well with both co-workers and customers. Strong programming skills desired.  (Comment: same as above) Proficiency in C and UNIX, and familiarity with some analysis tools, e.g., MATLAB, SAS, etc. desirable.

Preferred Qualifications (Experience/Skills): Strong mathematical appetite, problem solving and computer skills (C or C++ or Java). Good UNIX scripting and rapid prototyping skill.  Quick learner.  Good team player. Experience in designing systems based on neural networks, pattern recognition and/or statistical modeling techniques for the financial, health care, marketing, or other real world applications. Object oriented software design familiarity.
Intelligent Optical Systems Inc.
The Advanced Signal and Image Processing Laboratory of Intelligent Optical Systems Inc. (IOS) is looking for a candidate who has expertise and experience in Neurobiologically inspired image processing. We seek a candidate with hands-on experience in modeling the human visual system and its ability to perform edge and vertex detection, contour extraction, and illusory contour representations, as well as knowledge about neuronal synchrony.
+  Programming fluency in C++ and Java are important assets.
+  Experience in solving real-world problems in a wide variety of
   applications is a definite plus.

The activities of the Advanced Signal and Image Processing Laboratory include image analysis, biomedical diagnosis, food quality control, chemical analysis, system control, and target recognition, using neural computation-based implementations in software and hardware. IOS is a rapidly growing dynamic high-tech R&D company with a focus on
commercializing smart sensors and advanced information processing. We employ about 35 people, including 14 scientists from a variety of disciplines, and are located in Torrance, California, a pleasant seaside town with a high standard of living and year-round perfect weather. Please send your application including curriculum vitae, and three
references, in ASCII only, by e-mail to POCASIP@aol.com
DRW Investments
Programmer/Analyst in Computational Finance.  DRW Investments [www.drwtrading.com], 311 S Wacker Dr Ste 900, Chicago IL 60606.

At least 2-3 years combined experience programming in C/C++, Visual Basic/VBA and Java, as well as financial industry experience with a financial institution.  Must have excellent background in Physics, Math, or similar disciplines, PhD preferred.   Needs practical knowledge of methods of field theory and stochastic differential equations, as well
as an understanding of derivatives pricing models, bond futures and modeling of financial indices.  The position will be primarily dedicated to developing and coding algorithms for automated trading.  Flexible hours in intense environment.  Requires strong commitment to several ongoing projects with shifting priorities. See www.ingber.com for some papers on current projects.  Please email Lester Ingber ingber@drwtrading.com a resume regarding this position.
NeuroDimension
NeuroDimension will be starting a research project in August 2000 to design, develop, and prototype a neural network controlled ventilator. This project involves cutting-edge neural network and bioengineering technology and is completely funded for a minimum of 2 years.

NeuroDimension is looking for full-time and part-time engineers or computer scientists with bachelor’s degree or better. In addition, we can also provide research assistantships for masters or Ph.D. students. Good candidates for these positions should have skills in ONE OR MORE of the following areas and be willing to learn many of the others:
- Neural networks
- Digital control
- Digital signal processing
- Bioengineering (especially knowledge of the respiratory system)
- Electrical circuit design and microcontroller software
- Software design and development

NeuroDimension is located in Gainesville (link http://www.state.fl.us/gvl) in north-central Florida. The pay for a full-time engineering position ranges from $37K to $45K per year. Benefits include health, dental, and retirement plans.

If you are interested, please email a resume to neil@nd.com
Learning Curve K.K., Japan
Learning Curve K.K, Tokyo, Japan: We have developed a new, scientific, and patented learning method, which has the potential to radically change the way we learn. Our company is now preparing to introduce this method to both the Japan and U.S. markets in the form of computer software applications, and we are expanding our research team for the development and testing of future versions of this method.  The positions require a Masters or a PhD degree with training in computer science, applied math, physics, psychology, cognitive neuroscience, or related field.  Depending on the position, the candidates should either have strong analytical skills preferably with experience in statistics/neural networks or have proven experience in designing and conducting experiments with subjects. Applicants should be creative, have the ability to quickly learn new techniques and concepts, and have excellent oral and written skills in either English or
Japanese. We offer very competitive salaries and an employee Stock Option Plan. If you are looking for the opportunity to conduct high-level research in an exciting pre-IPO start-up in Tokyo, please send your resume to nicolas@neurotek.co.jp.

Nicolas Schweighofer, Ph.D.
Director of Core Research
The Learning Curve, Inc.
Tel: +81-3-3463-7266 Fax: +81-3-5489-7015
nicolas@neurotek.co.jp
BioDiscovery, Inc.
We are looking for a talented, creative individual with a strong background in image processing, machine vision, and neural networks to direct and participate in the development of existing and new image processing products for genetic analysis. This position involves development and implementation of machine vision and image processing algorithms, such as image segmentation, multi-spectral image processing, and statistical and ANN based image quality assessment, customer interactions, research, and providing educational training services. The position requires the ability to formulate problem descriptions through interaction with end-user customers. These technical issues must then be transformed into innovative and practical algorithmic solutions. We expect our scientists to have outstanding written/oral communication skills and encourage publications and presentations in scientific journals and conferences.

Requirements:
-   A Ph.D. in Electrical Engineering, Computer Science, or related field, or equivalent experience.
-   Experience developing image processing and pattern recognition algorithms.
-   Solid experience with Object Oriented programming in Java and/or C++
-   Knowledge of biology and genetics is a plus but not necessary.
-   Excellent communication skills.

For consideration, please send your résumé along with a cover letter to
E-mail: HR@BioDiscovery.com
Fax: (310) 966-9346
Snail-mail:
BioDiscovery, Inc.
11150 W. Olympic Blvd.
Suite 1170
Los Angeles, CA 90064

BioDiscovery, Inc. is start-up company founded in 1997 and dedicated to the development of state-of-the-art bioinformatics tools for biotechnology research applications. We are a leading gene expression image and data analysis firm with an outstanding client list and a progressive industry stance. BioDiscovery is an equal opportunity employer with good benefits, and our shop has a friendly, high-energy atmosphere. We are headquartered in sunny Southern California near the UCLA campus.



Laboratory
NASA Ames Research Center
The Automated Learning Group at NASA Ames Research Center is seeking applicants for the position of Principal Investigator. The successful applicant for this position would initiate new research in the general field of machine learning and statistical inference. Although not restricted to such problems, the main thrust of the investigator's work is expected to involve projects to be carried out by NASA. Applicants must have a doctoral degree in a relevant field and an outstanding research record.

Current members of the Automated Learning Group include David Wolpert, Peter Cheeseman, Kagan Tumer, David Maluf, Vadim Smelyanskiy, Robin Morris
and Esfandiar Bandari. The Automated Learning Group is part of the Automated Software Engineering Research Area led by Michael Lowry.

Applicants should send a curriculum vitae (including a list of publications) their citizenship status and the names of at least three references to:

Peter Cheeseman (cheesem@ptolemy.arc.nasa.gov),
Kagan Tumer (kagan@ptolemy.arc.nasa.gov), and
Mike Lowry (lowry@ptolemy.arc.nasa.gov)

Post mail can be sent to all three at:

Mail Stop 269-2     (For Kagan Tumer, use Mail Stop 269-3)
NASA Ames Research Center
Moffett Field, CA 94035

The current position is restricted to US citizens only. Future positions may be open to non-citizens. Women and minorities are strongly encouraged to apply.
The Brain and Vision Research Laboratory
The Brain and Vision Research Laboratory has an opening in the area of psychophysics and fMRI studies of adult cortical plasticity (stroke recovery and perceptual learning). An exciting new position is available for a full-time research assistant to work in Dr. Lucia Vaina's lab at Boston University. http://www.bu.edu/eng/labs/bravi Our lab  carries out computational and experimental research on the patterns of adult plasticity after extrastriate lesions (due to embolic stroke), perceptual learning and aspects of visual perception relevant to linking perception and action.  We use psychophysics and fMRI to study both stroke patients and neurologically intact subjects.  This job  primarily involves assisting with fMRI experiments, including the preparation of stimulus materials, the running of subjects in an MRI scanner, the analysis  of MRI data, and the preparation of this data in figures for publications and presentations.

Requirements:
1. experience with multiple computer platforms ( Mac&PC, Microsoft Office, Unix, and  Linux). Some knowledge of programming languages (e.g., Matlab and C) is desirable.
2. ability to trouble-shoot various hardware and software problems with the lab computers (e.g.  printers, extension conflicts, network connections, etc).
3.  excellent  organizational and interpersonal  skills. The position will involve maintaining  the equipment and ordering supplies,conducting  literature searches, and making appointments for subjects.
4. willingness to work on "odd hours" (depending on the magnet-time allocated to our group) and  occasionally on late nights/weekends are both essential.
5.  knowledge of and interest in  visual cognition, neuroanatomy, and especially statistics is a great plus.

This job is a good match for anyone interested in research in the neurology of vision or in cognitive neuroscience to learn more about these fields  by becoming a member of a lively and productive interdisciplinary research group housed at multiple sites in Boston.

*** Salary commensurable with experience***
The  job  can begin  any time after September 1. Commitment of one year is required. Send inquiries, CV  and names and phone numbers of 2-3 references to vaina@bu.edu or best to Professor Lucia M. Vaina Lucia
M. Vaina  Ph.D., Sc.D.
Brain and Vision Research Laboratory
Boston University, Department of Biomedical Engineering
College of Engineering
44 Cummington str, Room 315
Boston University
Boston, Ma 02215
USA
tel: 617-353-2455
fax: 617-353-6766