Academic
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
  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.
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



Industry
Institute for Software Research, Inc.
We are one of the fastest-growing companies, performing cutting-edge research in a variety of science and engineering disciplines...We are a young, dynamic and innovative organization pursuing a broad range of exciting projects for NASA, the U.S. Department of Defense and other private organizations.

I am currently seeking a Software Developer/Engineer for our Intelligent Flight Control Project.  The initial focus of this project is to demonstrate that NN technology is sufficiently mature to dynamically recover an in-flight mishap on the NASA F-15 aircraft.  I need someone with:
*    2-5 years experience performing software definition, design and development in the C programming language on a UNIX development platform.
*   B.S./M.S. in Computer Science, Computer Engineering, Aerospace Engineering or Electrical Engineering.

Please take a minute to visit our website to learn about our organization and location.

Jeannine Ott, Recruiter
Institute for Software Research, Inc.
(304) 368-9300
jott@softwareresearch.org
www.softwareresearch.org

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.
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.