PhD Positions in Computational Biology at ETH Zurich

PhD Positions in Computational Biology at ETH Zurich
Employer: Computational Biology Group, ETH Zurich
Location: Basel, Switzerland
Expires: October 30, 2009

Description:

Two PhD positions are available in the Computational Biology Group at the Department of Biosystems Science and Engineering of ETH Zurich in Basel. Our group is engaged in developing mathematical models and efficient algorithms for complex biosystems. We are particularly interested in disease-associated cellular networks and evolutionary dynamics, including genetic and epigenetic variation in cancer and infectious diseases. We seek two PhD students for the following research projects:

1) Analysis of deep sequencing data:

Development and application of statistical models and efficient algorithms for analyzing high-throughput next-generation sequencing data; haplotype inference of mixed virus and tumor samples; human SNP analysis in association studies; RNA-seq and ChIP-seq.

2) Reconstruction of cellular networks from perturbation data:

Probabilistic network reconstruction from RNAi data in the framework of graphical models; experimental design of RNAi screens; network analysis and comparison.

Successful applicants have a strong background in computational biology, mathematics, computer science, statistics, physics, or a related field, and exposure to modeling biological systems. Candidates are expected to engage in interdisciplinary research groups and to foster collaborations with biologists and bioengineers.

The Department of Biosystems Science and Engineering of ETH Zurich is an integral part of SystemX.ch, the Swiss initiative in Systems Biology. It is located in Basel, a European hot-spot for biomedical research, in close proximity of the Biozentrum of the University of Basel, the Friedrich Miescher Institute for Biomedical Research, and the pharmaceutical and biotech industry. ETH Zurich is a major research university, offering an excellent environment for innovative and collaborative research across disciplines.

To apply:

Please send the usual application material, including at least two references, as a single PDF file to niko.beerenwinkel@bsse.ethz.ch (preferred), or via surface mail to:

Prof. Dr. Niko Beerenwinkel

ETH Zurich
Department of Biosystems Science and Engineering
Computational Biology Group
Mattenstrasse 26
CH-4058 Basel
Switzerland

PhD Positions in Computational Biology at ETH Zurich

PhD Positions in Computational Biology at ETH Zurich
Employer: Computational Biology Group, ETH Zurich
Location: Basel, Switzerland
Expires: October 30, 2009

Description:

Two PhD positions are available in the Computational Biology Group at the Department of Biosystems Science and Engineering of ETH Zurich in Basel. Our group is engaged in developing mathematical models and efficient algorithms for complex biosystems. We are particularly interested in disease-associated cellular networks and evolutionary dynamics, including genetic and epigenetic variation in cancer and infectious diseases. We seek two PhD students for the following research projects:

1) Analysis of deep sequencing data:

Development and application of statistical models and efficient algorithms for analyzing high-throughput next-generation sequencing data; haplotype inference of mixed virus and tumor samples; human SNP analysis in association studies; RNA-seq and ChIP-seq.

2) Reconstruction of cellular networks from perturbation data:

Probabilistic network reconstruction from RNAi data in the framework of graphical models; experimental design of RNAi screens; network analysis and comparison.

Successful applicants have a strong background in computational biology, mathematics, computer science, statistics, physics, or a related field, and exposure to modeling biological systems. Candidates are expected to engage in interdisciplinary research groups and to foster collaborations with biologists and bioengineers.

The Department of Biosystems Science and Engineering of ETH Zurich is an integral part of SystemX.ch, the Swiss initiative in Systems Biology. It is located in Basel, a European hot-spot for biomedical research, in close proximity of the Biozentrum of the University of Basel, the Friedrich Miescher Institute for Biomedical Research, and the pharmaceutical and biotech industry. ETH Zurich is a major research university, offering an excellent environment for innovative and collaborative research across disciplines.

To apply:

Please send the usual application material, including at least two references, as a single PDF file to niko.beerenwinkel@bsse.ethz.ch (preferred), or via surface mail to:

Prof. Dr. Niko Beerenwinkel

ETH Zurich
Department of Biosystems Science and Engineering
Computational Biology Group
Mattenstrasse 26
CH-4058 Basel
Switzerland

PhD position at INSA, Lyon, France

Please find below a PHd position offer,

Title: Fast and accurate radio propagation models for indoor and
indoor/outdoor radio network planning and optimisation.

Supervisors: Guillaume Villemaud / Jean-Marie Gorce

Place: CITI Lab - INSA Lyon, France; and Ranplan Wireless Network Design
Ltd.- UK

http://citi. insa-lyon. fr

Description:

In the framework of the iPLAN European project the aim of this thesis is to enhance the computational efficiency and to adjust the complexity-accuracy trade-off of the MR-FDPF (Multi-Resolution Frequency Domain Partial Flows) method for indoor radio coverage prediction. This method, particularly efficient for indoor propagation, is devoted to be implemented in a radio
network planning tool. This tool needs to propose all kind of modern radio link conditions: indoor, outdoor, indoor to outdoor, outdoor to indoor, for 3G/4G, WLAN or WMAN (WiMax), from macrocells to femtocells.

Thus, the study will contain four main parts:

-computational efficiency enhancement of the MR-FDPF method;
-implementation of statistical analysis of radio channel behaviour
rather than only considering mean power level;
-integration of our indoor propagation tool into a wide areas
simulation tool with other propagation methods such as ray-tracing in
collaboration with other partners;
-measurement campaigns and model calibration.

The PhD candidate will work the first year in the CITI Lab of INSA Lyon in order to propose all possible enhancements on the MR-FDPF method and will be associated to the SWING INRIA project team (at INSA Lyon, France). Then he will spend two years seconded in Ranplan Wireless Network Design Ltd, partnet of the iPLAN project (located in Luton, UK). Ranplan's R&D department is expected to launch an automatic planning tool, and the results of this work will contribute to this innovating tool.

References:
[1] G. de La Roche, K. Jaffres-Runser and J-M. Gorce. "On
predicting Indoor WLAN coverage with a fast discrete approach,"
International Journal of Mobile Network Design and Innovation. Vol 2, No 1, 2007, pp.3-12.
[2] J-M. Gorce, K. Jaffres-Runser and G. De La Roche.
"Deterministic Approach for Fast Simulations of Indoor Radio Wave
Propagation, " IEEE Transactions on Antennas and Propagation. Vol 55, Issue 3, Part 2, March 2007, pp.938-948.

Contacts: guillaume.villemaud @insa-lyon. fr; jean-marie.gorce@ insa-lyon. fr

--
Prof Jean-Marie Gorce
CITI, INSA-Lyon
head of SWING team, INRIA
bat Claude Chappe
6 avenue des Arts
69621 Villeurbanne cedex
tel : 33 4 72436068