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jobs [2021/09/27 11:21]
Antonio Rodriguez-Sanchez
jobs [2024/03/25 10:47] (current)
Justus Piater consolidate 3 UIBK and Ale's project position
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 ======Working With Us====== ======Working With Us======
  
 +=====Multiple Ph.D. Positions in Machine Learning for Robotics and/or Computer Vision at the University of Innsbruck, Austria=====
  
-We are always looking ​for strongmotivated students to work on our [[theses|Bachelor or Master projects]].+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 structurefunction, and other concepts that describe the world in actionable ways.
  
-{{ :​theses:​snowavalanches-1.png}} 
-{{ :​theses:​snowavalanches-1.png}} 
-{{ :​theses:​snowavalanches-3.png}} 
  
 +====Three University-Assistant Positions====
  
-<​html><​!-- +These positions involve minor teaching dutiesThe specific research topics can be negotiated within the scope of the lab as summarized above.
-===== 2 Ph.DStudent Positions in Open-Ended Robot Learning at U. Innsbruck, Austria =====+
  
-The [[@/|Intelligent and Interactive Systems]] group (Prof. ​Justus Piater ​and DrMatteo Saveriano) is looking for two talented Ph.D. candidates.+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**.
  
-====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.+====One Project Position====
  
-====Position 1: Learning Large-Scale Robotic Knowledge Bases By Observing Humans====+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. ​
  
-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 tasksModern 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.+The position ​is already availableThe starting date is as soon as possible ​and will be defined with the selected ​candidate.
  
-This is a university assistant position that includes minor teaching requirements.+For further information and applications,​ please send an email to [[Alejandro.Agostini@uibk.ac.at|Alejandro Agostini]].
  
-====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.+====Characteristics ​of All Positions====
  
-This position ​is part of the new EGTC Euregio IPN //OLIVER ​Open-Ended Learning for Interactive Robots//, with ProfAngelika Peer (UBolzano) and ProfNicu Sebe (UTrento).+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 candidatesNote that the gross monthly salary is paid 14 times per yearFurthermore,​ the university has numerous [[https://​www.uibk.ac.at/​universitaet/​zusatzleistungen/​|attractive offers for employees]].
  
  
-==== Your Profile ​====+===Your Profile===
  
 Applicants must have Applicants must have
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   * 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.1632734492.txt.gz · Last modified: 2021/09/27 11:21 by Antonio Rodriguez-Sanchez