FW: 2 Immediate Openings for Research Programmers for Genetic Programming Research at Genetic Progamming Inc. in California

[Friam mailing list]

John Koza's group is looking for programmers...

> -----Original Message-----
> From: [hidden email]
> [mailto:[hidden email]]On Behalf Of John Koza
> Sent: Monday, May 26, 2003 2:12 PM
> To: Multiple recipients of list GASCHEDULING
> Subject: 2 Immediate Openings for Research Programmers for Genetic
> Programming Research at Genetic Progamming Inc. in California
>
>
> 2 Immediate Openings for Research Programmers for Genetic Programming
> Research at Genetic Progamming Inc. in California
>
> Genetic Programming Inc. is a small privately funded corporation using a
> beowulf cluster computer system consisting of 1,000 Pentium processors to do
> research in applying genetic programming to produce human-competitive
> results. Our current focus is on automating the invention process and
> generating useful, patentable, and human-competitive inventions by means of
> genetic programming. Our group publishes and presents numerous research
> papers each year at various scientific conferences and journals (both in the
> field of genetic and evolutionary computation and in the fields of the
> work). A good overview of the type of work we do can be seen on the home
> page of Genetic Programming Inc. at www.genetic-programming.com and the home
> page of John R. Koza at Stanford University is
> http://www.smi.stanford.edu/people/koza.
>
> Our current genetic programming system is written in Java and the simulators
> we work with are typically written in C.
>
> The RESEARCH PROGRAMMER position requires the ability to discuss and
> contribute ideas on how to approach the new problems; to write, debug, and
> run the necessary programs in the context of our existing software and
> hardware system; to analyze the results (and refine the code); and to
> participate in the writing up of the results for publication. Although
> actual programming will consume less than half of the time, the person in
> this position must be able to efficiently and accurately write a large
> amount of code. Thus, excellent programming skills and productivity are a
> must. This position calls for at least a B.S. degree and at least two years
> experience in Java and/or C doing academic or corporate research
> programming. A Master’s degree is preferable and a PhD degree would be even
> more desirable. The successful candidate is expected to have expertise in
> some specific science or engineering domain in order to advance the aim of
> applying genetic programming to that domain. The possibilities for domain
> areas are very open-ended and include, but are not limited to, analog
> circuit design, controller design, finite element analysis, shape
> optimization, operations research, mechanical design, signal processing,
> applied mathematics, chemical engineering, bioinformatics, biochemistry,
> computational biology, genomics, protein structure prediction, genetic
> networks, metabolic pathways, etc. Experience with, or knowledge of, genetic
> programming, genetic algorithms, or evolutionary computation, machine
> learning, neural networks, artificial intelligence, artificial life, DNA
> computing, etc. is a plus, but not required. The position offers competitive
> compensation and benefits. Compensation will be appropriate for the level of
> education and experience.
>
> Please include all relevant information, date available, and several
> references.
>
> Our offices are located 3 blocks from the Cal Train station and San Jose
> Light Rail Station in downtown Mountain View, California. Downtown Mountain
> View is an attractive and lively area with about 40 restaurants and various
> other businesses.
>
> Genetic Programming Inc. is an equal opportunity employer. Because we desire
> to fill these positions immediately, the candidate must currently possess
> the legal ability to work in the United States.
>
> John R. Koza
> Genetic Programming, Inc.
> P. O. Box K
> Los Altos, CA 94023-4011 USA
> Email: [hidden email]
> www.genetic-programming.com
>
>
>
>
>
>
>