Three PhD positions in mathematical statistics:
Stochastic methods in telecommunication


The Swedish Foundation for Strategic Research supports within the area 
Applied Mathematics the national research project Stochastic methods in 
telecommunication. The project is a joint effort between research groups 
at Uppsala University, Lund University and Chalmers University of 
Technology and involves expertise from the Swedish industry. The main 
direction is stochastic methods for tele- and computer traffic in a 
wireless Internet environment and in mobile communication systems. We 
are now recruiting three PhD students, one to each of Uppsala 
University, Lund University and Chalmers University of Technology, to 
strengthen and expand the current reserach activities.

The applicants should have qualifications meeting the requirements of 
the respective research groups. A suitable background is a masters 
degree in engineering, mathematics or mathematical statistics. Salary is 
paid based on general regulations for a Swedish doktorandtjänst. The 
positions are time limited to at most five years, some teaching is 
included. Send your application to the respective address given below, 
including attested copies of relevant documents, so that it is received 
no later than January 20, 2003.

Stochastic methods for radio based access networks
Ref no UFV-PA 2002/5419

In network environments based on radio access new types of random 
fluctuations appear compared to fixed networks, such as shadow fading, 
various interference phenomena and channel variability due to user 
mobility. New methods and models for system performance are needed, and 
the theoretical understanding required to analyze such networks must be 
developed. As a PhD student in this project you will work with 
mathematical issues related to this area of applications, for example 
analysis of which time scales are relevant, modeling of adaptive traffic 
sources, or studies of a particular network service, such as Internet 
telephony.

For more information, contact Ingemar Kaj, [log in to unmask], phone 
+46-18-471 3287
Address: Registrator, Ref nr 2002/5419, Uppsala University, Box 256, 
Se-751 06 Uppsala, Sweden.

Particle filter design
Ref nr1995

In statistical analysis of communication networks the most interesting 
quantities are often disturbed by random noise and may therefore not be 
observed directly, for example the exact geographical location of mobile 
users. The purpose of filtering is to reconstruct the disturbed signal 
based on available information. Particle filters are a new, general and 
powerful technique for filtrering. The basic idea is to use knowledge 
about the behavior of certain systems of particles where the individual 
particles are governed by given probabilistic rules. As a PhD student 
you will participate in a project studying the interplay between 
particle filters and statistical parameter estimation.

For more information, contact Tobias Rydén, [log in to unmask], phone 
+46-46-222 4778, or Jan Holst, [log in to unmask], phone +46-46-2229538 
or +46-70-5937224.
Address: Registrator, Ref nr 1995, Lund University, Box 117, Se-221 00 
Lund, Sweden.

Spatial models for mobile telecommunication
Ref nr 58/2002

In this project spatial models and stochastic geometry are used to 
describe communication between subsystems at several levels, to optimize 
operation of existing systems and to suggest modifications and 
extensions for improved performance. A basic problem in mobile 
telecommunication is the hand-over from one base station to another. We 
have recently shown that spatial models for the movement of mobile users 
combined with particle filters is far more effective than conventional 
Kalman-type filtering. As a PhD student in this project you will work 
with theoretical models and simulations as well as with developing 
computational algorithms.

For more information, contact Mats Rudemo, [log in to unmask], 
phone +46-31-772 3575. Address: Registrator, Ref nr 58/2002, Chalmers, 
Se-412 96 Gothenburg, Sweden.

Responsible for the project as a whole: Ingemar Kaj, Department of 
Mathematics, Uppsala University.


 

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     Jan Holst                           
     Mathematical Statistics
     Centre for Mathematical Sciences
     Lund Institute of Technology                   
     Box 118                                           
     SE-22100 LUND
     Sweden

     Phone:  +46 46 222 9538 / +46 70 593 7224
     Fax:     +46 46 222 4623
     email:   [log in to unmask] / [log in to unmask]
     http://www.maths.lth.se/matstat/staff/janh/

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