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.

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.

Post-Doc @ Uni-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

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.