The
Max Planck ETH Center for Learning Systems (CLS) is now accepting applications
for PhD Fellowships for international students in Switzerland. This is an
exciting new program and admission is highly competitive.
Max Planck ETH Center for Learning Systems (CLS) is now accepting applications
for PhD Fellowships for international students in Switzerland. This is an
exciting new program and admission is highly competitive.
The
fellowship program is intended to support highly motivated PhD students with
excellent track records. Given the limited number of fellowships available in a
given year (6-8 fellowships, depending on the financial resources of the CLS),
the fellows are selected through a competitive process to ensure that the best
students with the highest potential are chosen.
fellowship program is intended to support highly motivated PhD students with
excellent track records. Given the limited number of fellowships available in a
given year (6-8 fellowships, depending on the financial resources of the CLS),
the fellows are selected through a competitive process to ensure that the best
students with the highest potential are chosen.
The
Max Planck ETH Center for Learning Systems (CLS) is a joint research centre of
ETH Zurich and the Max Planck Society. The Center’s mission is to pursue
research in the design and analysis of learning systems, synthetic or natural.
This initiative brings together more than 40 professors and senior researchers
in the fields of machine learning, perception, robotics on large and small
scales, as well as neuroscience.
Max Planck ETH Center for Learning Systems (CLS) is a joint research centre of
ETH Zurich and the Max Planck Society. The Center’s mission is to pursue
research in the design and analysis of learning systems, synthetic or natural.
This initiative brings together more than 40 professors and senior researchers
in the fields of machine learning, perception, robotics on large and small
scales, as well as neuroscience.
Scholarship Description:
- Application
Deadline: November 12, 2018 - Course
Level: Fellowships are available to
pursue PhD programme. - Study
Subject: Applications are encouraged from
candidates with a keen interest in doing basic research in areas like: - Machine
Learning and Empirical Inference of Complex Systems - Machine
Intelligence, including Machine Vision and Natural Language Understanding - Perception-Action-Cycle
for Autonomous Systems - Robust
Model-Based Control for Intelligent Behavior - Robust
Perception in Complex Environments - Design,
Fabrication, and Control of Synthetic, Bio-Inspired, and Bio-Hybrid
Micro/Nanoscale Robotic Systems - Haptic
Intelligence - Data-Driven
Computational Biology - Neurotechnology
and Emergent Intelligence in Nervous Systems - Scholarship
Award: The duration of the CLS PhD
Fellowship is initially three years. For fellows with good progress it can
be extended for maximal one year to complete the PhD thesis (decision to
be taken by the CLS Steering Board, without additional interviews). CLS
PhD fellowships will be remunerated according to the rules of the
Max-PlanckSociety and ETH Zurich, respectively. The corresponding
guidelines for doctoral education apply. The CLS will pay for a part of
the position, which is matched by the host lab at the Max-Planck-Society
and ETH Zurich, respectively. In order to be accepted as CLS PhD fellow
the requirements set out by the ETH Zurich Doctoral Administration have to
be fulfilled (see https://www.ethz.ch/en/doctorate.html). CLS PhD fellows
will need to register as graduate students at ETH Zurich and – upon
successful completion of their PhD project – be granted a doctoral degree
by ETH Zurich. Details of this process are governed by ETH regulations and
committees. - Number
of Scholarships: Not Known - Nationality: International
students - Scholarship
can be taken in Switzerland and Germany
(Each PhD fellow will have a primary location (chosen based on interests
and match) and spends one year at the other location as well).
Eligibility for the Scholarship:
- Eligible
Countries: International students are
eligible to apply for this fellowship programme. - Entrance
Requirements: The following
criteria must be met in order for applicants to be eligible for the
scholarship: - Candidates
are expected to have a completed master’s degree in computer science,
physics, engineering, applied mathematics, materials science,
neuroscience or other relevant fields as well as an excellent track
record and must meet the general admission requirements for a doctorate
at ETH Zurich - Applications
are encouraged from candidates with a keen interest in doing basic
research in areas like: • Machine Learning and Empirical Inference of
Complex Systems • Machine Intelligence, including Machine Vision and
Natural Language Understanding • Perception-Action-Cycle for Autonomous
Systems • Robust Model-Based Control for Intelligent Behavior • Robust
Perception in Complex Environments • Design, Fabrication, and Control of
Synthetic, Bio-Inspired, and Bio-Hybrid Micro/Nanoscale Robotic Systems •
Haptic Intelligence • Data-Driven Computational Biology • Neurotechnology
and Emergent Intelligence in Nervous Systems. - English
Language Requirements: Applicants from
outside the home country will often need to meet specific English
language/other language requirements in order to be able to study there.
Application Procedure:
How
to Apply: Applications must be submitted through
http://cls.tue.mpg.de/registration/cls_2019%20and%20need%20to%20 include:
to Apply: Applications must be submitted through
http://cls.tue.mpg.de/registration/cls_2019%20and%20need%20to%20 include:
- A
complete CV including a list of publications, invited talks and awards (if
applicable) - A
short letter of motivation (1-2 pages) outlining the research area of the
candidate - A
scanned transcripts of certificates (bachelor’s degree, master’s degree,
other degrees) - 2-3
reference letters to be sent directly per email to the CLS Executive
Office within the application deadline.
