[robotics-worldwide] [Jobs] Multiple fully funded Ph.D. positions in "Dynamic 3D Perception" and "Infrastructures for Automated and Connected Driving" at TUM

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[robotics-worldwide] [Jobs] Multiple fully funded Ph.D. positions in "Dynamic 3D Perception" and "Infrastructures for Automated and Connected Driving" at TUM

Arne Peters
  We at the chair of robotics, artificial intelligence and real-time systems
at the Technical University of Munich (TUM) have an overall of 8 fully funded
open Ph.D. positions in the fields of

    • Dynamic 3D Perception [2 positions]
    • Automated and connected driving / Intelligent Infrastructures [6 positions]

  For all our open positions please visit
https://urldefense.proofpoint.com/v2/url?u=http-3A__www6.in.tum.de_en_open-2Dpositions_scientific-2Dstaff_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=5BbFpzq4_tRoDw976Dn3GK8wSSiZKjyyJYjPdgTFU6s&s=7bvqNSQBu_HSA1aGEha-iX11LBK009qKHJVPurl-jzI&e= 

  With kind regards,

  Arne Peters



1. Full time Ph.D. student in "Dynamic 3D Perception"
=====================================================

Your Task
---------
  While the production of European industries increasingly automated specific
tasks requiring complex manipulation skills are still mostly produced by hand.
The EU-funded project Robotic tEchnologies for the Manipulation of cOmplex
DeformaE Linear objects (REMODEL) aims at developing a dual-arm manipulator for
automated production and assembly of deformable linear objects (DLOs), such as
cables, wire harnesses and hoses. You will collaborate closely with application
experts from industry and partners from leading European research institutes to
develop a multi-sensor 3d perception system, allowing to manipulate DLOs in
real-time. This includes:
    • Working in close collaboration with partners from industry to define re-
      quirements for the system in real production
    • Designing and building a perception system composed of static and eye-in-
      hand depth sensors and cameras, allowing real-time data fusion for indus-
      trial systems and processes
    • Creating algorithms to find optimal view perspectives for hand-held
      sensors during manipulation
    • Developing a prediction model for the manipulation of DLOs

Requirements
------------
    • Excellent master’s degree in Computer Science, Math, Robotics or a related
      field
    • Good knowledge of basic concepts and the current state of the art of
      computer vision and machine learning
    • Professional proficiency in at least one common programming language
      (preferably C/C++ and Python)
    • At least basic experience in the fields of motion planning, SLAM and/or
      tracking
    • Experience with ROS or GPU programming is of advantage
    • Excellent writing skills and a self-reliant well-organized style of working
      are essential
    • High motivation, strong communications skills and high team spirit

What We Offer
-------------
    • Opportunity to obtain a Ph.D.
    • Employment as a research associate (TV-L E13) in a fulltime position
      (fixed-term contract)
    • Guaranteed funding to finalize a Ph.D. in four years
    • An open and innovative working environment at one of Europe’s top
      universities
    • Working in a diverse research group in robotics with topics ranging from
      autonomous driving and industrial automation to biomimetic robotics and
      brain-inspired technologies

Application
-----------
  We are looking forward to receiving your application. The earliest starting
date is February 1st, 2020. Applications will be considered as long as the
position is open and should include:
    • A letter of motivation that describes your professional experience, your
      interest in the topic and why you think that you are a good fit for the
      topic and our team
    • A detailed up-to-date CV that includes completed projects and publications
    • Transcripts of record of your Bachelor’s and Master’s degree
    • Names and e-mail addresses of at least one professor that can provide a
      letter of recommendation on request
  Please submit all documents in a single PDF via e-mail to [hidden email].
Use the subject “REMODEL Recruitment”. Alternatively, you can submit the
documents by mail to the address below. In case of a printed application please
only send us copies of your documents as we cannot send them back.

Contact
-------
  Technische Universität München
  Institut für Informatik VI
  Arne Peters, M.Sc.
  Boltzmannstraße 3
  85748 Garching bei München
  Tel. +49 89 289 18136
  [hidden email]

  For more information please visit www6.in.tum.de and www.tum.de.



2. Full time Ph.D. student in "Automated and connected driving / Intelligent Infrastructures"
=============================================================================================

  The chair for robotics, artificial intelligence and real-time systems has
obtained one of the most challenging, visible and prestigious research projects
in the field of autonomous driving. With these research funds, we aim to extend
our research group, starting from 01.01.2020. Therefore, we are currently
looking for multiple, highly motivated and enthusiastic PhD candidates, who want
to start their research in one of the most future-compliant areas.

  The goal of the research project is to provide the driver – when it comes to
automated driving, the vehicle itself – a far-reaching view of the road ahead.
We aim to deliver this foresight in a reliable, robust and situation-adapted
approach, without overloading the driver with too much information. We want to
provide this foresight in any situation, at day and night, and under all other
environmental conditions. The complex image of the environment, which builds the
basis of the far-reaching view, is created by combining sensor information from
sensors installed along the highway (e.g. Radars, Cameras) and information pro-
vided by vehicles (e.g. Lidars). We spread the so-called “Digital Twin” via LTE
and the new upcoming next generation radio network (5G). Automated vehicles, as
well as drivers can derive all relevant information from this Digital Twin.
Hence, our Digital Twin introduces the possibility to visualise the current
traffic condition in all types of vehicles, from conventional up to partially
automated or highly automated vehicles. Thus, we yield an essential contribution
for automated vehicle control applications and increased traffic flow and
safety.

Your Task
---------
     • Working in the scope of a highly innovative national-funded research
       project
     • Development an evaluation of Hard- and Software components, e.g. algo-
       rithms for distributed real-time multi-sensor data fusion in C++
     • Extending the current infrastructure system in the digital testbed on the
       A9 highway (sensors, computers, backend, 5G-communication, integration)
     • Continuous testing and improvement of the ongoing development in the
       digital testbed
     • Working in agile processes in close collaboration with our industry and
       research partners to improve and extend the intelligent infrastructure
       buildup.

Requirements
------------
     • Excellent master’s degree in Computer Science, Robotics, Data Analytics,
       Electrical Engineering, MSE or a related field
     • Professional proficiency in at least one common programming language
       (C/C++, C#, Java, Python) and high interest in software engineering and
       development
     • Excellent writing skills and a self-reliant well-organized style of
       working are essential
     • High motivation, strong communications skills and high team spirit
     • Good German skills (B2 or higher)
     • Furthermore good knowledge in at least one of the following points:
         - Planning and execution of distributed measurements with radars,
           cameras or other sensors
         - Simulation and testing of algorithms and traffic scenarios
         - Development of an intelligent infrastructure system in complex traffic
           environments
         - Real-time, distributed sensor data fusion in combination with
           WFIF/5G/LTE
         - Distributed algorithms and computing
         - Prediction of vehicle behaviour by using recorded sensor data
         - Excellent knowledge in software engineering, and software architecture
           concepts
         - Professional proficiency in C++

What We Offer
-------------
     • Opportunity to obtain a PhD
     • Employment as a research associate (TVL-E13) in a fulltime position
       (fixed-term contract)
     • Close collaboration with leading European companies from the semiconductor
       and the automotive industry
     • An open and innovative working environment at one of Europe’s top
       universities
     • Working in a diverse research group in robotics with topics ranging from
       autonomous driving to biomimetic robotics and brain-inspired technologies

Application
-----------
  We are looking forward to receiving your application. The earliest starting
date is January 1, 2020. Applications will be considered as long as the position
is open and should include:
     • A letter of motivation that describes your professional experience, your
       interest in the topic and why you think that you are a good fit for the
       topic and our team
     • A detailed up-to-date CV that includes completed projects and publications
     • Transcripts of record of your Bachelor’s and Master’s degree
     • Names and e-mail addresses of at least two professors that can provide
       letters of recommendation on request
  Please submit all documents in a single PDF via e-mail to [hidden email]. Use
the subject “Digitales Testfeld”. Alternatively, you can submit the documents by
mail to the address below. In case of a printed application please only send us
copies of your documents as we cannot send them back.

Contact
-------
  Technical University of Munich
  Institute for Informatics VI
  Marie-Luise Neitz
  Schleißheimer Str. 90A
  85748 Garching bei München
  Tel. +49 89 289 18121
  [hidden email]

  For more information please visit www6.in.tum.de and www.tum.de.



General Remarks
===============

About Us
--------
  The Technical University of Munich (TUM) is one of the largest and in terms of
third party funding one of the most successful universities in Germany. It is
consistently ranked among the best universities in the world and is appointed as
one of only three top-level elite universities by the German National Science
Foundation since 2006. TUM as an entrepreneurial university actively supports
knowledge transfer with over 300 start-ups created over the last years, numerous
partnerships with industry and a comprehensive set of services aimed at success-
ful commercialization of research. The Chair of Robotics, Artificial Intelli-
gence and Real-time Systems led by Prof. Alois Knoll performs research in fields
of human robot interaction and service robotics, medical robotics, cognitive
robotics and cyber-physical systems. Across all these areas, there is a strong
focus on the development and application of AI-based methods ranging from tra-
ditional machine learning to brain-inspired methods and neuromorphic computing.

Gender Diversity
----------------
  TUM has been pursuing the strategic goal of substantially increasing the diver-
sity of its staff. As an equal opportunity and affirmative action employer, TUM
explicitly encourages nominations of and applications from women as well as from
all others who would bring additional diversity dimensions to the university’s
research and teaching strategies. Preference will be given to disabled candi-
dates with equal qualifications. International candidates are highly encouraged
to apply.

Data Protection Information
---------------------------
  When you apply for a position with the Technical University of Munich (TUM),
you are submitting personal information. With regard to personal information,
please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grund-
verordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im
Rahmen Ihrer Bewerbung (data protection information on collecting and processing
personal data contained in your application in accordance with Art. 13 of the
General Data Protection Regulation (GDPR)). By submitting your application, you
confirm that you have acknowledged the above data protection information of TUM.


--
Arne Peters, M.Sc.
Wissenschaftlicher Mitarbeiter
Research Scientist

Technische Universität München
Department of Informatics VI
Chair of Robotics, Artificial Intelligence and Real-time Systems

Schleißheimer Str. 90a
85748 Garching bei München
Germany

Telefon | Phone: +49 (0)89 289-18136
Telefax | Fax: +49 (0)89 289-18107
Raum | Office: 0.008

[hidden email]
https://urldefense.proofpoint.com/v2/url?u=https-3A__www6.in.tum.de_en_people_arne-2Dpeters-2Dmsc_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=5BbFpzq4_tRoDw976Dn3GK8wSSiZKjyyJYjPdgTFU6s&s=2Hek9Os6l2Txxk7LvP-LFCyEkKk8fs8Dki-z1sd7RH0&e= 

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