Differences

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

--- jobs [2021/12/02 12:57]
Antonio Rodriguez-Sanchez
+++ jobs [2024/03/20 08:08]
Alejandro Agostini [About the position]
@@ Line 1: / Line 1: @@
 ======Working With Us======
-We are always looking for strong, motivated students to work on our [[theses|Bachelor or Master projects]].
+We will soon have multiple openings for PhD students in machine learning for robotics and/or computer vision. Details will appear here by 2024-04-02.
-==== Master’s Theses in Artificial Intelligence and Sleep Medicine ====
-Introduction: Isolated REM sleep behavior disorder (iRBD) is a sleep disorder characterized by abnormal muscle activity and dream enactment during REM sleep. Longitudinal studies have shown that up to 90% of iRBD patients convert to Parkinson’s disease (PD) after a decade. Therefore, iRBD is considered by now the strongest biomarker of early PD. Despite the relation between iRBD and PD is clear, so far there are no biomarkers that could be used to predict the time to conversion from iRBD to PD.
+===== Ph.D. Student Position in Machine Learning for Robotics at the University of Innsbruck, Austria. =====
-Aims of the theses: The aim of the theses is to investigate whether it is possible to identify biomarkers with artificial intelligence that can predict conversion of iRBD patients to PD. The biomarkers will be extracted from electrophysiological signals recorded during sleep. Two different projects are proposed.
-- Project 1: In this project, features describing sleep instability and alterations in brain waves (EEG) will be extracted from the data and used to train and validate machine learning algorithms that can predict the risk of conversion to PD for iRBD patients.
+==== About the position ====
-- Project 2: In this project, a deep learning approach (i.e. without explicit feature extraction) will be investigated. Raw EEG data will be given in input to a deep neural network in order to predict the risk of conversion to PD for iRBD patients.
-Interdisciplinary and international environment: The projects will be carried out in collaboration between the Department of Computer Science of the University of Innsbruck (Prof. Antonio Rodríguez-Sánchez) and the Department of Neurology of the Medical University of Innsbruck (Matteo Cesari, PhD and Prof. Birgit Högl). The team is international and the work will be carried out in English.
-Expected workload: It is expected that each project will last 8 months. A student salary for a workload of 20 hours per week is foreseen according to Austrian Science Fund (FWF) rules. The expected start is March/April 2022.
-Contacts: Prof. Antonio Rodríguez-Sánchez (antonio.rodriguez-sanchez@uibk.ac.at), Matteo Cesari (matteo.cesari@i-med.ac.at)
+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.
-==== Master’s Theses in Artificial Intelligence for detecting snow avalanches ====
+The monthly gross salary is based on the FWF salary scale for doctoral candidates (https://www.fwf.ac.at/en/funding/steps-to-your-fwf-project/further-information/personnel-costs).  Note that the gross salary per month is paid 14 times per year. Furthermore, the university has numerous attractive offers (https://www.uibk.ac.at/universitaet/zusatzleistungen/).
-{{ :snowavalanches-1.png}}
+The position is already available. The starting date is as soon as possible and will be defined with the selected candidate.
-{{ :snowavalanches-2.png}}
-{{ :snowavalanches-3.png}}
+==== Requirements ====
+  * M.Sc. degree in computer science or related areas.
+  * Excellent academic record.
+  * Solid background in machine learning and good understanding of robotics, and computer vision mechanisms.
+  * Programming skills in Matlab/Python/C++.
+  * Proficiency in writing and speaking English.
+  * Independent problem-solving skills.
-<html><!--
+==== Required documents ====
-===== 2 Ph.D. Student Positions in Open-Ended Robot Learning at U. Innsbruck, Austria =====
+  * 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.
-The [[@/|Intelligent and Interactive Systems]] group (Prof. Justus Piater and Dr. Matteo Saveriano) is looking for two talented Ph.D. candidates.
+==== Working environment ====
+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 well connected and recognized.
-====Scientific Context====
+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 year. It is a vibrant city of 130000 inhabitants, home to 35000 students who imprint a distinctive, international atmosphere.
-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.
+==== Contact ====
+For further information and applications, please send an email to Alejandro Agostini (alejandro.agostini@uibk.ac.at).
-====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).
+<html><!--
+We do not currently have any open positions.
+===== Another Ph.D. Student 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.D. candidate.
+==== 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 robotics. Of particular interest are topics in representation learning and causality for out-of-distribution situations.
 ==== Your Profile ====
@@ Line 52: / Line 60: @@
   * 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, 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 written and oral communication skills in English, and
@@ Line 60: / Line 68: @@
 ==== 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=13690|here]] by **August 17, 2023**.  The ideal starting date is September 15, 2023.
-  * 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 15, 2019**.  The ideal starting date is September 1st, 2019.
 ==== 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.
 --></html>

User Tools

Site Tools

Differences

Page Tools