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1st Deadline is January 15, 2010.
2nd Deadline is April 15th or 30th 2010.
1. PhD position in Open-Ended Evolutionary Algorithms
A PhD position is available at the Laboratory of Intelligent Systems, Swiss Federal Institute of Technology Lausanne to work on the development of a novel evolutionary framework for open ended evolution in dynamically changing environments. The algorithm will be based on a model of open-ended evolution focusing on novel selection methods and operating on variable length genomes, such as (but not limited to) Analog Genetic Encoding (AGE). Furthermore, the the role of ontogenetic plasticity will be taken into account as a further mechanism of adaptation that interacts with evolution.
Selected references on AGE:
Mattiussi, C., Marbach, D., Dürr, P. and Floreano, D. (2008) The Age of Analog Networks. AI Magazine, 29(3) pp. 63-76.
Mattiussi, C. and Floreano, D. (2007) Analog Genetic Encoding for the Evolution of Circuits and Networks. IEEE Transactions on Evolutionary Computation, 11(5) pp. 596--607.
The PhD student will be involved (in collaboration with another PhD student and with a postdoc) in the development of the algorithm and testing conditions in the context of control systems for evolutionary robots. Applicants should preferably have a Master's degree in one of the following disciplines:
- Computer Science
- Physics
- Applied Mathematics
Candidates from other disciplines are also welcome if they demonstrate skills in the above-mentioned areas. Proficiency in written/spoken English is mandatory.
In order to apply, candidates must be accepted by one of the following doctoral schools at EPFL: "Computer, Communication, and Information Sciences", "Manufacturing Systems and Robotics". Please state interest for this project and mention the name of Prof. Dario Floreano in the application to the doctoral school of choice. You may also do a pre-enquiry by e-mailing: Dario[dot]Floreano[at]epfl[dot]ch
The position is available for 36 months with a contract renewable every year on the basis of performance. Salary and benefits are highly competitive for international standards. The region of Lausanne and of the EPFL campus offers an excellent quality of life with lake, mountains, and several cultural events.
The candidate will join a team with established activities in autonomous robotics and artificial intelligence that regularly feature on top media and scientific magazines. The Laboratory offers access to state-of-the-art facilities ranging from large supercomputer clusters to electronic and robotics workshops as well as collaboration with companies in artificial intelligence and micro-robotics.
Female candidates are strongly encouraged to apply.
For more information please refer to:
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2. PhD position in Evolutionary Reverse Engineering of Gene Regulatory Networks
A PhD position is available at the Laboratory of Intelligent Systems, Swiss Federal Institute of Technology Lausanne to work on the development of a novel evolutionary framework for reverse engineering of gene regulatory networks made of multiple modules. The algorithm will be based on a model of open-ended evolution focusing on novel selection methods and operating on variable length genomes, such as (but not limited to) Analog Genetic Encoding (AGE).
Selected references on Evolutionary Reverse Engineering:
Mattiussi, C., Marbach, D., Dürr, P. and Floreano, D. (2008) The Age of Analog Networks. AI Magazine, 29(3) pp.63--76.
Marbach, D., Mattiussi, C. and Floreano, D. (2009) Replaying the Evolutionary Tape: Biomimetic Reverse Engineering of Gene Networks. Annals of the New York Academy of Sciences, 1158 pp.234-245.
The PhD student will be involved (in collaboration with another PhD student and with a postdoc) in the development of the algorithm and testing on biological gene regulatory network in collaboration with partner biologists within the SystemsX.ch project. Applicants should preferably have a Master's degree in one of the following disciplines:
- Computer Science
- Physics
- Applied Mathematics
- Bioinformatics
Candidates from other disciplines are also welcome if they demonstrate skills in the above-mentioned areas. Proficiency in written/spoken English is mandatory.
In order to apply, candidates must be accepted by one of the following doctoral schools at EPFL: "Biotechnology and Bioengineering" or "Computer, Communication, and Information Sciences". Please state interest for this project and mention the name of Prof. Dario Floreano in the application to the doctoral school of choice. You may also do a pre-enquiry by e-mailing: Dario[dot]Floreano[at]epfl[dot]ch
The position is available for 36 months with a contract renewable every year on the basis of performance. Salary and benefits are highly competitive for international standards. The region of Lausanne and of the EPFL campus offers an excellent quality of life with lake, mountains, and several cultural events.
The candidate will join a team with established activities in autonomous robotics and artificial intelligence that regularly feature on top media and scientific magazines. The Laboratory offers access to state-of-the-art facilities ranging from large supercomputer clusters to electronic and robotics workshops as well as collaboration with companies in artificial intelligence and micro-robotics.
Female candidates are strongly encouraged to apply.
For more information please refer to:
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3. PhD or Postdoc position in Evolution of Analog Electronics
A PhD position or Postdoc position is available at the Laboratory of Intelligent Systems, Swiss Federal Institute of Technology Lausanne to work on the development of a novel evolutionary framework for open ended evolution of analog electronic circuits. The algorithm will be based on a model of open-ended evolution focusing on novel selection methods and operating on variable length genomes, such as (but not limited to) Analog Genetic Encoding (AGE). The project requires the capability of modeling and simulation analog electronic circuits, including the use of industry-standard software such as Spice. A version of this software, especially customized for circuit evolution, is available in the lab. It is expected that this approach will be able to generate novel and more complex electronic circuits that simultaneously satisfy multiple operational requirements and could have significant application potentials.
Selected references:
Mattiussi, C., Marbach, D., Dürr, P. and Floreano, D. (2008) The Age of Analog Networks. AI Magazine, 29(3) pp.63--76.
Mattiussi, C. and Floreano, D. (2007) Analog Genetic Encoding for the Evolution of Circuits and Networks. IEEE Transactions on Evolutionary Computation, 11(5) pp.596--607.
Applicants should preferably have a Master's degree in one of the following disciplines:
- Electrical Engineering
- Applied Physics
- Applied Mathematics
Candidates from other disciplines are also welcome if they demonstrate skills in analog electronics. Proficiency in writing/spoken English is mandatory.
Please send an e-mail to Dario[dot]Floreano[at]epfl[dot]ch with a link to a website containing CV, major publications, and names of 2 referees.
***For PhD candidates only, in order to apply, candidates must be accepted by one of the following doctoral schools at EPFL: "Electrical Engineering" or "Microsystems and Microelectronics". Please state interest for this project and mention the name of Prof. Dario Floreano in the application to the doctoral school of choice. You may also do a pre-enquiry by e-mailing: Dario[dot]Floreano[at]epfl[dot]ch
The position is available for 36 months with a contract renewable every year on the basis of performance. Salary and benefits are highly competitive for international standards. The region of Lausanne and of the EPFL campus offers an excellent quality of life with lake, mountains, and several cultural events.
The candidate will join a team with established activities in artificial evolution, robotics, and electronics that regularly feature on top media and scientific magazines. The Laboratory offers access to state-of-the-art facilities ranging from large supercomputer clusters to electronic and robotics workshops as well as collaboration with companies in artificial intelligence and micro-robotics.
Female candidates are strongly encouraged to apply.
For more information please refer to:
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