[robocup-worldwide] A Postdoc position and 3 PhD student positions

[silvia.coradeschi at oru.se]

********************************************************************
**          AASS Learning Systems Lab, Örebro University:         **
** Postdoc Position, Pollution Monitoring with Mobile Gas Sensors **
********************************************************************

This Postdoc position is immediately available at the AASS Learning Systems Lab, 
University of Örebro, Sweden. Its runtime is initially limited to 18 months 
fully funded within the new EU project DHRS-CIM (Project Leader: Dr. Achim J. 
Lilienthal).

The particular contributions expected in the DHRS-CIM project are to develop (1) 
2D and 3D gas source tracking algorithms that are reliable and time-efficient 
under outdoor conditions and (2) advanced gas distribution models that aid 
prediction of gas propagation, sensor planning and gas source tracking. The 
project work might include a short research visit of one of our DHRS-CIM 
partners.

The employed senior researcher will be part of the Mobile Robot Olfaction group 
at the AASS Research Centre, which currently consists of two senior researchers 
and two PhD candidates. Two further PhD positions related to Pollution 
Monitoring with Mobile Gas Sensors are currently announced within a second 
European project DIADEM and can be fixed from 1st of September 2008 on. 
Supervision of these PhD candidates will be a part of the duties in this 
position.

This position does not include teaching duties.

Topic: 
------
"Pollution Monitoring with Mobile Gas Sensors"

Location:
---------
AASS Learning Systems Lab, Örebro University, Sweden

Closing Date: 
-------------
Applications can be sent immediately and will be considered until the position 
is filled.

Contact:
--------
Dr. Achim Lilienthal (e-mail: achim.lilienthal at tech.oru.se).

Full Call: 
----------
The full position announcement is available as a PDF under 
http://www.aass.oru.se/Research/Learning/announcements/Postdoc_Position-DHRS_CIM.pdf. 

The DHRS-CIM Project: 
---------------------
This is a Marie Curie IAPP (Industry-Academia Partnerships and Pathways) project 
funded by the European Union (Call: FP7 PEOPLE-2007-3-1-IAPP). The general 
objective is to combine forces of leading industrial and academic organizations 
in Europe in the field of "Disaster Management" in order to develop an 
intelligent decision support system for humans to manage chemical incidents. 

Prerequisites and Application Process:
--------------------------------------
Interested candidates with a PhD in a relevant field can apply by sending a 
letter of motivation along with their documents (CV, copy of PhD diploma, 
documentation of the scientific skills, including a list of publications, key 
papers and at least two academic references) by e-mail to Achim Lilienthal 
(achim.lilienthal at tech.oru.se).

It is not necessary to be familiar with the Swedish language but proficiency in 
written/spoken English is mandatory.

For further information please contact Achim Lilienthal 
(achim.lilienthal at tech.oru.se). 


The Research Environment:
-------------------------
The University of Örebro (http://www.oru.se) is a young university currently 
enrolling more than 14000 students. It is located in Örebro, a city with 100'000 
inhabitants, which is situated in central Sweden at 59°16'N 15°13'E. More 
information about Örebro can be found, for example, at 
http://en.wikipedia.org/wiki/Örebro).

The Centre for Applied Autonomous Sensor Systems (AASS Research Centre, 
http://aass.oru.se) carries out multi-disciplinary research at the intersection 
of robotics, machine learning, artificial intelligence, computer vision, 
computer science, and measurement technology. The research and human environment 
at AASS is young and enthusiastic. Researchers come from different countries 
and have different scientific and cultural backgrounds. AASS also frequently 
hosts international researchers and is involved in several international 
projects. This means that enrolled PhD students will have the opportunity to 
travel and to cooperate with people in other countries.

The Learning Systems Lab is one of three research groups within AASS. Our 
research is recognized world-wide with its focus generally on the development of 
algorithms and robotic/sensor systems for real-world tasks. Major directions are 
Mobile Robot Olfaction, Robotic Map Learning, Safe Operation in Dynamic Shared 
Environments, and Dexterous Manipulation and Motion Learning. Further 
information can be found on this Web site. Currently, the staff of the Learning 
Systems Lab includes 6 PhD students, 5 postdocs and 3 professors. 

More Information:
-----------------
Full Call: 
  http://www.aass.oru.se/Research/Learning/announcements/Postdoc_Position-DHRS_CIM.pdf

Contact Person: 
  Dr. Achim Lilienthal,
  e-mail: achim.lilienthal at tech.oru.se, 
  Web page: http://www.aass.oru.se/Research/Learning/amll.html)

Learning Systems Lab: 
http://www.aass.oru.se/Research/Learning/index.html

AASS: 
www.aass.oru.se



--------------------------------------------------------------------------------

***********************************************************
**      AASS Learning Systems Lab, Örebro University:    **
** PhD Opportunity, 3D Sensing for Autonomous Navigation **
***********************************************************

A new PhD position is immediately available at the AASS Learning Systems Lab, 
University of Örebro, Sweden under the supervision of Dr. Achim J. Lilienthal.

The major part of the PhD studies can be dedicated to research in the area of 3D 
Sensing for Autonomous Navigation. The aim is to investigate robot navigation 
based on 3D range sensing for the case of a single robot or a team of robots 
with or without the context of an environment that is equipped with stationary 
sensors in a wireless network (Ambient Intelligence). 

The enrolled PhD student will be involved in ongoing projects at the AASS 
Learning Systems Lab for which the results of the work are relevant. This 
includes the EU project DustBot (http://www.dustbot.org, 
http://www.aass.oru.se/~dustbot/), the recently started project MALTA 
(http://www.aass.oru.se/Research/Learning/malta/) and a pre-study on underwater 
navigation. 

Apart from working towards the PhD thesis, the enrolled PhD student will be 
involved in the project work of the mentioned projects, which is expected to 
include occasional research visits of our European partners.

Topic: 
------
"3D Sensing for Autonomous Navigation"

Location:
---------
AASS Learning Systems Lab, Örebro University, Sweden

Closing Date: 
-------------
Applications can be sent immediately and will be considered until the position 
is filled.

Contact:
--------
Dr. Achim Lilienthal (e-mail: achim.lilienthal at tech.oru.se).

Full Call: 
----------
The full position announcement including practical information about PhD studies 
in Sweden is available as a PDF under 
http://www.aass.oru.se/Research/Learning/announcements/PhD_Position-3D_Sensing_for_Navigation.pdf. 

DustBot Project: 
----------------
The aim of the DustBot project is the development of a demonstration system for 
the management of urban hygiene using a network of autonomous and cooperating 
robots embedded in an Ambient Intelligence infrastructure. The robots will 
operate in partially unstructured environments (such as pedestrian areas) where 
they do vacuum-cleaning and transport small quantities of garbage. 

Further information can be found at http://www.dustbot.org.

MALTA Project: 
--------------
MALTA (Multiple Autonomous Fork-Lift Trucks for Loading and Transportation 
Applications) is a collaborative project between the AASS Research Centre at 
Örebro University, the Intelligent Systems Lab at Halmstad University and 
industrial partners from Danaher Motion, Stora Enso Logistics and Linde Material 
Handling.

The purpose of the project is to develop a demonstrator platform for a fully 
autonomous fork-lift truck that handles heavy products in an industrial setting. 
The autonomous trucks should be able to work safely together with other 
autonomous trucks and with manually driven trucks. They should be able to pick 
up (load) products, unload them, store them in containers or train wagons and 
possibly even stack them. The trucks should be able to do this with a speed that 
is comparable to the speed of trucks driven by humans.

The MALTA project is co-sponsored by the KK-foundation.

Prerequisites and Application Process:
--------------------------------------
Apart from interest in the topic, a strong theoretical background and solid 
programming skills, applicants should have the equivalent of a Masters degree in 
an appropriate field (for example: Physics, Applied Mathematics, Robotics, 
Computer Science). It is not necessary to be familiar with the Swedish language 
but proficiency in written/spoken English is mandatory.

To apply for the position, please send a motivation letter along with an updated 
CV (including at least two academic references) by e-mail to Achim Lilienthal 
(achim.lilienthal at tech.oru.se).

The Research Environment:
-------------------------
The University of Örebro (http://www.oru.se) is a young university currently 
enrolling more than 14000 students. It is located in Örebro, a city with 100'000 
inhabitants, which is situated in central Sweden at 59°16'N 15°13'E. More 
information about Örebro can be found, for example, at 
http://en.wikipedia.org/wiki/Örebro).

The Centre for Applied Autonomous Sensor Systems (AASS Research Centre, 
http://aass.oru.se) carries out multi-disciplinary research at the intersection 
of robotics, machine learning, artificial intelligence, computer vision, 
computer science, and measurement technology. The research and human environment 
at AASS is young and enthusiastic. PhD students come from different countries 
and have different scientific and cultural backgrounds. AASS also frequently 
hosts international researchers and is involved in several international 
projects. This means that enrolled PhD students will have the opportunity to 
travel and to cooperate with people in other countries.

The Learning Systems Lab is one of three research groups within AASS. Our 
research is recognized world-wide with its focus generally on the development of 
algorithms and robotic/sensor systems for real-world tasks. Major directions are 
Mobile Robot Olfaction, Robotic Map Learning, Safe Operation in Dynamic Shared 
Environments, and Dexterous Manipulation and Motion Learning. Further 
information can be found on this Web site. Currently, the staff of the Learning 
Systems Lab includes 6 PhD students, 5 postdocs and 3 professors. 

More Information:
-----------------
Full Call: 
  http://www.aass.oru.se/Research/Learning/announcements/PhD_Position-3D_Sensing_for_Navigation.pdf

Contact Person: 
  Dr. Achim Lilienthal,
  e-mail: achim.lilienthal at tech.oru.se, 
  Web page: http://www.aass.oru.se/Research/Learning/amll.html)

Learning Systems Lab: 
http://www.aass.oru.se/Research/Learning/index.html

AASS: 
www.aass.oru.se

PhD studies at AASS: 
http://www.aass.oru.se/Positions/faq.html



--------------------------------------------------------------------------------

*********************************************************************
**        AASS Learning Systems Lab, Örebro University:            **
** PhD Opportunities, Pollution Monitoring with Mobile Gas Sensors **
*********************************************************************

Two exciting new PhD positions will be available from 1st of September 2008. The 
3-year PhD positions under the supervision of Dr. Achim J. Lilienthal are fully 
funded within new EU project on Distributed Information Acquisition and 
Decision-Making for Environmental Management.

Topic: 
------
"Pollution Monitoring with Mobile Gas Sensors"

Location:
---------
AASS Learning Systems Lab, Örebro University, Sweden

Closing Date: 
-------------
Applications can be sent immediately and will be considered until the position 
is filled.

Contact:
--------
Dr. Achim Lilienthal (e-mail: achim.lilienthal at tech.oru.se).

Full Call: 
----------
The full position announcement including practical information about PhD studies 
in Sweden is available as a PDF under 
http://www.aass.oru.se/Research/Learning/announcements/PhD_Positions-DIADEM.pdf. 

DIADEM Project: 
---------------
The objective of the DIADEM project (Distributed Information Acquisition and 
Decision-Making for Environmental Management) is to provide methods and tools 
that will support environmental management, particularly in industrial settings. 
This will be achieved by means of developing a system that supports seamless 
integration of efficient gas detection and gas monitoring with advanced decision 
support systems. The combination of rich domain expertise and relevant context 
information with advanced planning systems will contribute to prevent chemical 
air pollution and to mitigate consequences of catastrophic chemical incidents.

The DIADEM consortium consists of 9 partners from 6 European countries (Belgium, 
Denmark, the Netherlands, Germany, Romania, and Sweden), including four academic 
partners, three companies and two environmental protection agencies. 

PhD Studies:
------------
The major part of the work can be dedicated to research in the area of pollution 
monitoring with mobile gas sensors, particularly to develop (1) advanced gas 
distribution models that aid prediction of gas propagation, sensor planning and 
gas source tracking; (2) algorithms for sensor planning so as to use mobile gas 
sensors in an optimal way; and (3) distributed gas source tracking algorithms. 
Apart from working towards the PhD thesis, the enrolled PhD student will be 
involved in the project work, which is expected to include occasional research 
visits of our European partners.

Prerequisites and Application Process:
--------------------------------------
Apart from interest in the topic, a strong theoretical background and solid 
programming skills, applicants should have the equivalent of a Masters degree in 
an appropriate field (for example: Physics, Applied Mathematics, Robotics, 
Computer Science). It is not necessary to be familiar with the Swedish language 
but proficiency in written/spoken English is mandatory.

To apply for the position, please send a motivation letter along with an updated 
CV (including at least two academic references) by e-mail to Achim Lilienthal 
(achim.lilienthal at tech.oru.se). Applications can be sent immediately and will be 
considered until the position is fixed. 

The Research Environment:
-------------------------
The University of Örebro (http://www.oru.se) is a young university currently 
enrolling more than 14000 students. It is located in Örebro, a city with 100'000 
inhabitants, which is situated in central Sweden at 59°16'N 15°13'E. More 
information about Örebro can be found, for example, at 
http://en.wikipedia.org/wiki/Örebro).

The Centre for Applied Autonomous Sensor Systems (AASS Research Centre, 
http://aass.oru.se) carries out multi-disciplinary research at the intersection 
of robotics, machine learning, artificial intelligence, computer vision, 
computer science, and measurement technology. The research and human environment 
at AASS is young and enthusiastic. PhD students come from different countries 
and have different scientific and cultural backgrounds. AASS also frequently 
hosts international researchers and is involved in several international 
projects. This means that, particularly in the DIADEM project, enrolled PhD 
students will have the opportunity to travel and to cooperate with people in 
other countries.

The Learning Systems Lab is one of three research groups within AASS. Our 
research is recognized world-wide with its focus generally on the development of 
algorithms and robotic/sensor systems for real-world tasks. Major directions are 
Mobile Robot Olfaction, Robotic Map Learning, Safe Operation in Dynamic Shared 
Environments, and Dexterous Manipulation and Motion Learning. Further 
information can be found on this Web site. Currently, the staff of the Learning 
Systems Lab includes 6 PhD students, 5 postdocs and 3 professors. 

More Information:
-----------------
Full Call: 
  http://www.aass.oru.se/Research/Learning/announcements/PhD_Positions-DIADEM.pdf

Contact Person: 
  Dr. Achim Lilienthal,
  e-mail: achim.lilienthal at tech.oru.se, 
  Web page: http://www.aass.oru.se/Research/Learning/amll.html)

Learning Systems Lab: 
http://www.aass.oru.se/Research/Learning/index.html

AASS: 
www.aass.oru.se

PhD studies at AASS: 
http://www.aass.oru.se/Positions/faq.html