Intelligent and Interactive Systems

User Tools

Site Tools


jobs

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
jobs [2021/09/27 12:54]
David Peer
jobs [2022/05/03 21:42] (current)
Justus Piater [2 Ph.D. Student Positions in Machine Learning for Robotics or Computer Vision U. Innsbruck, Austria]
Line 1: Line 1:
 ======Working With Us====== ======Working With Us======
  
 +  * We are always looking for strong, motivated students to work on our [[theses|Bachelor or Master projects]].
  
-We are always looking for strong, motivated students to work on our [[theses|Bachelor or Master projects]]. 
  
-{{ :​snowavalanches-1.png}} +===== Ph.DStudent Positions in Machine Learning for Robotics or Computer Vision at UInnsbruck, Austria =====
-{{ :​snowavalanches-2.png}} +
-{{ :​snowavalanches-3.png}}+
  
 +The [[@/​|Intelligent and Interactive Systems]] group (Prof. Justus Piater and Prof. Antonio Rodríguez-Sánchez) is looking for two talented Ph.D. candidates.
  
-<​html><​!-- +==== The Positions ====
-===== 2 Ph.D. Student ​Positions ​in Open-Ended Robot Learning at U. Innsbruck, Austria ​====+
- +
-The [[@/​|Intelligent and Interactive Systems]] group (Prof. Justus Piater and Dr. Matteo Saveriano) is looking for two talented Ph.D. candidates. +
- +
-====Scientific Context==== +
- +
-We would like to be able to equip our robots with almost arbitrary skills in unconstrained environments. ​ However, programming robot skills by hand is time consuming, and supervised and exploratory learning do not easily scale to complex and diverse tasks. Open-ended learning requires a combination of exploratory learning, explicit teaching, and the ability to reuse knowledge. +
- +
-====Position 1: Learning Large-Scale Robotic Knowledge Bases By Observing Humans==== +
- +
-The goal of this project is to enable robotic devices to acquire knowledge about the task execution from human observation and to build a large scale database of robotic tasks. Modern computing technologies,​ like noSQL, graph databases and cloud computing, are leveraged to populate and query the knowledge base and plan tasks on-line. A large knowledge base will allow the robot to execute a multitude of tasks and, more importantly,​ can potentially allow the robot to reuse its knowledge in different scenarios in order to learn novel behaviors by self-practice. The Ph.D. candidate will also try to overcome the current imitation learning paradigm where the human is the only source of knowledge by adopting a bidirectional paradigm where the robot uses already acquired knowledge to assist the human during the teaching. +
- +
-This is a university assistant position that includes minor teaching requirements. +
- +
-====Position 2: Teaching Robots the Essence of Tasks==== +
- +
-Most current work in robot learning focuses on learning trajectories or on mapping perception to action. However, tasks are characterized by the achievement of specific post-conditions;​ it is these the robot should understand, along with means to achieve and verify them. The objective of this research is to leverage explicit human teaching and other means to focus the attention of the robot to the crucial aspects of its perception/​action space that define the task, allowing it to acquire complex skills in open-ended scenarios. +
- +
-This position is part of the new EGTC Euregio IPN //OLIVER - Open-Ended Learning for Interactive Robots//, with Prof. Angelika Peer (U. Bolzano) and Prof. Nicu Sebe (U. Trento).+
  
 +These are university doctoral positions that involve minor teaching duties. The precise research topics are negotiable within the scope of active research at IIS, including machine learning and growing levels of AI for computer vision and robotics.
  
 ==== Your Profile ==== ==== Your Profile ====
Line 37: Line 18:
   * earned, or be about to earn, an M.Sc. degree or equivalent in computer science or other relevant area,   * earned, or be about to earn, an M.Sc. degree or equivalent in computer science or other relevant area,
   * an excellent academic record,   * an excellent academic record,
-  * a strong background in machine learning, AI, and robotics,+  * a strong background in machine learning and in robotics ​or computer vision,
   * excellent mathematical and coding skills (C/C++, Matlab, ROS, Python),   * excellent mathematical and coding skills (C/C++, Matlab, ROS, Python),
   * excellent written and oral communication skills in English, and   * excellent written and oral communication skills in English, and
Line 45: Line 26:
 ==== How to Apply ==== ==== How to Apply ====
  
-Applications must state the position(s) of interest (1, 2 or both), and must include +Apply [[https://​lfuonline.uibk.ac.at/​public/​karriereportal.details?​asg_id_in=12641|here]] by **May 282022**.  The ideal starting date is September ​152022.
- +
-  * a letter of motivation,​ +
-  * a curriculm vitae including URLs of English-language theses and dissertations,​ +
-  * scanned transcripts (including grades) and diplomas,  +
-  * a list of projects you have worked on with brief descriptions of your contributions,​ and +
-  * contact information of at least two references. +
- +
-They should be sent as PDF attachments by e-mail to both [[Justus.Piater@uibk.ac.at]] and [[Matteo.Saveriano@uibk.ac.at]]+
- +
-Applications must be received ​by **July 152019**.  The ideal starting date is September ​1st2019.+
  
  
 ==== The University of Innsbruck, Austria ==== ==== The University of Innsbruck, Austria ====
  
-The University of Innsbruck ​dates back to 1669 and celebrates its 350th anniversary this year. It offers a complete set of academic curricula and currently counts 28000 students. Founded in 2001, our young Department of Computer Science is highly productive in diverse research domains, and is internationally very well connected.+The University of Innsbruck offers a complete set of academic curricula and currently counts 28000 students. Founded in 2001, the Department of Computer Science is highly productive in diverse research domains, and is internationally very well connected.
  
 Innsbruck is home to 35000 students who imprint a distinctive,​ international student atmosphere upon this lively city of 130000. ​ Beautifully located in the Tyrolean Alps, on the Inn river and surrounded by summits of up to 2718m, Innsbruck offers outstanding opportunities and quality of life all around the year. Innsbruck is home to 35000 students who imprint a distinctive,​ international student atmosphere upon this lively city of 130000. ​ Beautifully located in the Tyrolean Alps, on the Inn river and surrounded by summits of up to 2718m, Innsbruck offers outstanding opportunities and quality of life all around the year.
---></​html>​ 
  
jobs.1632740050.txt.gz · Last modified: 2021/09/27 12:54 by David Peer