The NeuroInformatics Group (Prof. Ritter) at the Faculty of Technology,
Bielefeld University, is looking for a PhD candidate in the area of
computational modelling of actions and episodic memory. The project is
part of the Collaborative Research Center (CRC) „Everyday Activity
Science and Engineering (EASE)“
<https://urldefense.proofpoint.com/v2/url?u=http-3A__ease.informatik.uni-2Dbremen.de_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=WeerZPAaWsop0GJR24MJ6cP3YR00GrZck9G4HcNIGaA&s=Iu-1tLVts_QR1RePsxoWDIqqIeMUoSyH9ayCG37DDOs&e=>in cooperation with Bremen
The ideal candidate should hold a MS degree in Computer Science or
Engineering, with a particular focus on machine learning (particularly
deep learning), robotics, action modelling, and cognitive architectures.
Strong programming skills in C++ and/or python as well as experience
with ROS are essential and candidates should be strongly motivated to
quickly get acquainted with large existing code bases. A history of
open-source contributions is desired (if you have one, please mention
e.g. your github account). Proficiency in written and spoken English is
required. Knowledge of German is useful but not required.
Successful candidates will be employed as research assistants with an
annual gross salary of ca. 50.000 EUR according to the TVL-E13 pay scale
and are limited to 4 years. Reduced working hours are possible. The
position is meant for scientific qualification. According to the legal
requirements of the WissZeitVG and the contract on good employment
practice, individual contract terms can arise.
Interested candidates should submit a cover letter, a detailed CV, and
the names of two references (or recommendation letters) via email to
Interviews will start on September 18th, 2017. Late applications will be
treated depending on availability of the position.
*About the project “Episodic memory for everyday manual activities”
The project is part of the CRC EASE at University of Bremen. Together
with a colleague from the Institute for Artificial Intelligence (IAI),
lead by Prof. Beetz, you will investigate cognitive architectures to
leverage episodic memory of robotic agents to learn sophisticated object
manipulation skills and to reason about them. The core idea is to
combine symbolic and subsymbolic activity descriptions in a hybrid
episodic memory architecture to steer the robot action along manifolds
that enable robust and safe goal achievement.
*About Neuroinformatics Group / CITEC*
Applicants will work in the context of the Neuroinformatics Group at
CITEC, headed by Prof. Ritter and cooperating with the Institute for
Artificial Intelligence (IAI), headed by Prof. Beetz. We provide an
excellent and stimulating research environment. Our modern robotics lab
hosts two bimanual robot setups equipped with anthropomorphic,
tactile-sensorized Shadow Robot Hands. The project will benefit from its
embedding in the research environment of the Cluster of Excellence
“Cognitive Interaction Technology” (CITEC).
Creating the scientific and technology foundations for systems that
interact with human users seamlessly and at a semantic level is the
focus of the Cluster of Excellence in Cognitive Interaction Technology
(CITEC) at Bielefeld University. CITEC's research topics range from
smart devices, over virtual or augmented reality to sophisticated robots
with cognitive or even social capabilities.
CITEC was established as part of the German Excellence Initiative in
2007 and brings together over30 research groups in computer science,
robotics, biology, linguistics, psychology, and sports science,
co-located in a dedicated buildingthat offers cutting-edge lab facilities.
The Neuroinformatics Group, headed by Prof. Ritter, is particularly
focusing on tactile- and vision-based grasping and manipulation in
unknown environments employing anthropomorphic Shadow Robot Hands.
Methods include machine learning, particularly deep neural networks, but
also classical engineering approaches.
*What CITEC Offers You*
We offer a strongly interdisciplinary and stimulating research
environment with excellent laboratory infrastructure as well as a wide
network of national and international research partners. The positions
are remunerated at the salary level TV-L 13 and are provided with a
dedicated budget for research costs. We are strongly committed to
support the career development of our members and can offer facilities
to reconcile professional demands and family life.
Applications are to be submitted in English and must include the
following (no more than two pages for each item 1. - 4.):
A statement describing the applicant’s area(s) of research (topics
A motivation letter,
A curriculum vitae
Record of publications, with copies of 3 representative papers
References to software projects the candidate developed / contributed to
Up to two letters of recommendation
Applications should be sent by email ([hidden email])
<mailto:[hidden email]%29>to Dr. Robert Haschke, in one
PDF document. Should you have any questions, please also contact us at
this email address.
Applications from qualified severely handicapped persons and persons who
are on a par with severely handicapped persons are explicitly welcome.
Bielefeld University is recognized as a family-friendly university. We
encourage women to apply for jobs; this is particularly true with regard
to both academic and technical posts as well as positions in information
technology, trades and crafts. Applications are handled according to the
provisions of the state equal opportunity statutes.
*About Bielefeld *
Bielefeld is one of the 20 largest cities in Germany (with close to
330.000 inhabitants). Founded in 1214 CE as merchant city, Bielefeld is
today a dynamic university city with a total of seven universities and
nearly 35.000 students. It is a lively city with favourable living costs
with a lot of cultural and entertainment opportunities. Bielefeld is at
the heart of the East Westphalia-Lippe region, which is home to a number
of worldwide acting companies, including Miele, Bertelsmann, Dr. Oetker
and Schüco. Fast ICE trains make Berlin, Hamburg and Cologne reachable
within two and a half hours. Located in the heart of the Teutoburg
Forest, the place is one of Germanies greenest cities, offering many
opportunities for outdoors and leisure activities.
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