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 [2022/01/31 11:57]
Antonio Rodriguez-Sanchez
jobs [2024/03/25 10:47] (current)
Justus Piater consolidate 3 UIBK and Ale's project position
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]].+=====Multiple Ph.D. Positions in Machine Learning ​for Robotics and/or Computer Vision at the University of Innsbruck, Austria=====
  
 +The Intelligent and Interactive Systems lab headed by Justus Piater and Antonio Rodríguez Sánchez uses machine learning to enhance the flexibility,​ robustness, generalization and explainability of robots and vision systems. Of particular interest are methods for learning about structure, function, and other concepts that describe the world in actionable ways.
  
-<​html><​!-- 
-===== 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.+====Three University-Assistant Positions====
  
-====Scientific Context====+These positions involve minor teaching duties. The specific research topics can be negotiated within the scope of the lab as summarized above.
  
-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.+If interested, e-mail the [[#​required_documents|required documents]] ​to [[Justus.Piater@uibk.ac.at|Justus Piater]] as soon as possible ​and no later than **2024-04-24**.
  
-====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.+====One Project Position====
  
-This is a university assistant position that includes minor teaching requirements.+The research activity comprises the integration of robotic perception and execution mechanisms for task-oriented object manipulation in everyday environments. The (negotiable) focus is on affordance-driven object part segmentation and object manipulation using reinforcement learning
  
-====Position 2: Teaching Robots ​the Essence of Tasks====+The position is already available. The starting date is as soon as possible and will be defined with the selected candidate.
  
-Most current work in robot learning focuses on learning trajectories or on mapping perception to action. Howevertasks are characterized by the achievement of specific post-conditions;​ it is these the robot should understand, along with means to achieve and verify themThe 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.+For further information and applicationsplease send an email to [[Alejandro.Agostini@uibk.ac.at|Alejandro Agostini]].
  
-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). 
  
 +====Characteristics of All Positions====
  
-==== Your Profile ​====+The monthly gross salary is based on the [[https://​www.fwf.ac.at/​en/​funding/​steps-to-your-fwf-project/​further-information/​personnel-costs|FWF salary scale]] for doctoral candidates. Note that the gross monthly salary is paid 14 times per year. Furthermore,​ the university has numerous [[https://​www.uibk.ac.at/​universitaet/​zusatzleistungen/​|attractive offers for employees]]. 
 + 
 + 
 +===Your Profile===
  
 Applicants must have Applicants must have
Line 32: Line 33:
   * 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++, ROS, Python),
   * excellent written and oral communication skills in English, and   * excellent written and oral communication skills in English, and
   * enthusiasm for leading-edge research, a team spirit and independent problem-solving skills.   * enthusiasm for leading-edge research, a team spirit and independent problem-solving skills.
  
  
-==== How to Apply ====+===Required documents=== 
 +  * CV. 
 +  * Motivation letter including previous research experience and research interests. 
 +  * Transcripts of grades obtained for B.Sc. and M.Sc. degrees. 
 +  * Certificates for academic degrees. 
 +  * Names and contact details of 2 referees.
  
-Applications must state the position(s) of interest (1, 2 or both), and must include+===Working Environment===
  
-  * a letter ​of motivation,​ +The University ​of Innsbruck offers ​complete set of academic curricula ​and currently counts 28000 students. The Department ​of Computer Science is highly productive in diverse research domains ​and is currently expanding its capacity in Artificial Intelligence.
-  * 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]].+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><​!-
 + 
 +Innsbruck offers an idyllic living environment surrounded by summits of up to 2718m in the Tyrolean Alps, with outstanding opportunities and high quality of life all around the yearIt is a vibrant city of 130000 inhabitants,​ home to 35000 students who imprint a distinctive,​ international atmosphere. 
 + 
 +We do not currently have any open positions. 
 + 
 +===== Another Ph.DStudent Position in Machine Learning for Robotics or Computer Vision ​at U. Innsbruck, Austria ===== 
 + 
 +The [[@/​|Intelligent and Interactive Systems]] group (Profs. Justus Piater, Antonio Rodríguez-Sánchez, ​and Samuele Tosatto) is looking for a talented Ph.Dcandidate. 
 + 
 +==== The Position ==== 
 + 
 +This is a university doctoral position that involves 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 roboticsOf particular interest are topics in representation learning and causality for out-of-distribution situations. 
 + 
 +==== Your Profile ==== 
 + 
 +Applicants must have 
 + 
 +  * earned, or be about to earn, an M.Sc. degree or equivalent in computer science or other relevant area, 
 +  * an excellent academic record, 
 +  * a strong background in machine learning and in robotics or computer vision, 
 +  * excellent mathematical and coding skills (C/C++, Matlab, ROS, Python), 
 +  * excellent written and oral communication skills in English, and 
 +  * enthusiasm for leading-edge research, a team spirit and independent problem-solving skills. 
 + 
 + 
 +==== How to Apply ====
  
-Applications must be received ​by **July 152019**.  The ideal starting date is September ​1st2019.+Apply [[https://​lfuonline.uibk.ac.at/​public/​karriereportal.details?​asg_id_in=13690|here]] ​by **August 172023**.  The ideal starting date is September ​152023.
  
  
 ==== 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>​ --></​html>​
  
jobs.1643626668.txt.gz · Last modified: 2022/01/31 11:57 by Antonio Rodriguez-Sanchez