[socios-spr] Five (5) fully funded Post-Doc positions at the
Institute for Systems and Robotics (IST, Lisbon)
Pedro U Lima
pal isr.tecnico.ulisboa.pt
Sexta-Feira, 10 de Fevereiro de 2017 - 09:53:04 WET
(please redistribute; apologies for cross-postings)
Dear all,
Applications are invited for 5 fully funded Post-Doc positions at the Institute for Systems and Robotics (ISR-Lisboa), Instituto Superior Técnico (IST), University of Lisbon, Portugal. These positions are divided among five profiles of two positions each. The profiles and workplans of the positions are described below:
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PROFILE P1 - Computer and Robot Vision (http://vislab.isr.tecnico.ulisboa.pt)
Admission Requirements: Doctor in Electrical and Computer Engineering, Computer Science or affine areas, with solid knowledge in Vision, Cognitive Robotics and/or machine learning. Experience of research and implementation of complex vision and robotic systems is a plus.
Workplan
“Cognitive Social Robots”: Development of methodologies for sensorimotor coordination and manipulation with humanoid robots able to interact with humans, based on computer vision, gesture analysis, body-head-gaze pose estimation, perception (tactile and force), machine learning and learning by demonstration. Successful candidates will work with advanced experimental platforms (e.g. the iCub robot, motion capture systems and gaze trackers).
Advisor: José Santos-Victor and Alexandre Bernardino
PROFILE P2 - Dynamical Systems and Ocean Robotics
Admission Requirements: PhD in Electrical Engineering, Computer Science or similar fields, with a solid background in the area of dynamical systems theory and a good track record in topics related to the analysis, design, and implementation of advanced systems for single and networked cooperative navigation and motion control of autonomous air and marine vehicles.
Workplan
Design, implementation, and field testing of advanced navigation systems for autonomous marine vehicles using tools from linear and nonlinear filtering, with a strong emphasis on geophysical navigation methods (that is, using terrain and geomagnetic maps).
Study of sensor-based control and navigation systems for air and/or marine vehicles resorting to analysis and design techniques rooted in nonlinear systems theory. The work may include system implementation using LIDAR and SONAR in the case of autonomous surface/air and underwater vehicles, respectively.
Advisor: António Pascoal and Carlos Silvestre
PROFILE P3 - Biomedical Engineering
Admission Requirements: Candidates should have a PhD in Neuroscience, Biomedical Engineering, Physics, Electrical Engineering or a similar field, preferentially with experience in the acquisition and processing of EEG signals and/or other neuroimaging techniques.
Workplan
Implementation of an EEG setup in a virtual reality environment, and development of methodologies of signal acquisition and processing for studies of neurofeedback training with applications in healthy and active aging.
Advisor: Patrícia Figueiredo and João Sanches
PROFILE P4 - (2 Positions) - Intelligent Robots and Systems
Admission Requirements: Doctor in Electrical and Computer Engineering, Computer Science or affine areas, with solid knowledge in Robotics and/or Artificial Intelligence
Workplan
(P4.1) – "Networked Robot Systems for Social Interaction": R&D on integration of different technologies (off-the-shelf and developed by the group) - including navigation, cooperative perception, people following, symbiotic interaction, coordinated plan execution - for robots deployed in human-populated environments (e.g., homes, hospitals), so as to interact with the humans in education, entertainment and support to daily activities. Experience with ROS is a plus.
Advisor: Rodrigo Ventura
(P4.2) – "Planning Under Uncertainty": R&D on the development of novel approaches combining state representation under uncertainty (e.g., using probabilistic logic) and decision-theoretic sequential decision-making (e.g., POMDPs, RL), so as to enable handling large-state and observation spaces by reducing their high dimensional space to low dimensional representations adequate to inference and decision making.
Advisor: Pedro Lima
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About ISR-Lisboa (http://www.isr.tecnico.ulisboa.pt)
The research will be conducted at the Institute for Systems and Robotics (ISR-Lisboa), home to more than 40 PhDs and part of the LARSyS (Laboratory for Robotics and Engineering Systems - http://www.larsys.pt). ISR-Lisboa is engaged in a new generation of research challenges pushing the frontiers of knowledge, while offering world-class doctoral training with top universities (e.g. dual/joint degrees with MIT, EPFL, CMU) and fueling the collaboration with industry. ISR-Lisboa develops state-of- the-art engineering solutions and projects with a clear societal impact, and has a long track record of participation in EU and other international projects. ISR-Lisboa hosts 5 groups working in Robotics and Information Processing, Systems and Control Theory, Signal Processing, Computer Vision, Optimization, Intelligent Systems and Biomedical Engineering. The working language is English.
About Lisbon
Lisbon is one of the oldest and most charming european capitals, enjoying a multi-cultural and vibrant life-style. Lisbon is an illuminated city. The almost constant presence of sunshine and the River Tagus transforms the Portuguese capital into a mirror of a thousand colours - highlighting the city’s unique architecture and beauty. Its rich history and culture, the sunny climate and the proximity to the ocean and sandy beaches, makes Lisbon a unique place to work and live.
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Application:
Deadline: March 2nd 2017
Duration: 12 months, renewable (full time)
Starting date: as soon as possible.
Place: ISR-Lisboa - Instituto Superior Tecnico, Alameda campus, Lisbon, Portugal
To request further information and to apply, send an email to asantos (at) isr.tecnico.ulisboa.pt
as soon as possible.
The application should include the following items:
- Form B1 - Application for Research Grant (www.ist-id.pt); Ref: BPD - Proj RD0461
http://ist-id.pt/files/sites/43/id_b1_v1-1_candidatura_bolsa-_inv.doc
- Curriculum Vitae;
- Academic degree certificate;
- Letter of motivation / statement of purpose in English: with explicit
indicati
on the chosen profile;
- Minimum of 2 reference letters.
- all documents should be sent in one single ZIP file.
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