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.
Course
Level: Fellowships
are available to pursue PhD programme.
Level: Fellowships
are available to pursue PhD programme.
Study
Subject:
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.
Subject:
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.
Applications
are encouraged from candidates with a keen interest in doing basic research in
areas like:
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 the 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-Planck Society 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. 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.
Award:
The duration of the CLS PhD Fellowship is initially three years. For fellows
with the 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-Planck Society 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. 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:
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.
of Scholarships:
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.
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).
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: The following
criteria must be met in order for applicants to be eligible for the
scholarship:
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. - We
encourage applications from outstanding candidates with academic
backgrounds in Mathematics, Physics, Computer Science, Engineering,
Materials Science, Neuroscience and related fields, and 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, or Neurotechnology
and Emergent Intelligence in Nervous Systems. We seek to increase the
number of women in areas where they are underrepresented and therefore explicitly
encourage women to apply. Furthermore, we are committed to increasing the
number of individuals with disabilities in its workforce and therefore
encourage applications from such qualified individuals.
Nationality:
International
students are eligible to apply for this fellowship programme.
International
students are eligible to apply for this fellowship programme.
College
Admission Requirement
Admission Requirement
Entrance
Requirements: Candidates are expected to have a completed master’s degree.
Requirements: Candidates are expected to have a completed master’s degree.
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.
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.
How
to Apply:
We are looking forward to receiving your online application consisting of a
complete CV (incl. a list of publications, talks and awards), a short mission
statement (max. 1-2 pages) outlining your research interests, and scanned
transcripts of certificates (bachelor’s degree, master’s degree, other
degrees). Please note that we exclusively accept applications submitted through
our online application portal. Applications via email or postal services will
not be considered. Please arrange for 2-3 reference letters to be sent directly
per email to Dr. Magdalena Seebauer within the application deadline.
to Apply:
We are looking forward to receiving your online application consisting of a
complete CV (incl. a list of publications, talks and awards), a short mission
statement (max. 1-2 pages) outlining your research interests, and scanned
transcripts of certificates (bachelor’s degree, master’s degree, other
degrees). Please note that we exclusively accept applications submitted through
our online application portal. Applications via email or postal services will
not be considered. Please arrange for 2-3 reference letters to be sent directly
per email to Dr. Magdalena Seebauer within the application deadline.
Applications
must be submitted via the ETH Zurich job portal at http://www.jobs.ethz.ch/ and
need to include:
must be submitted via the ETH Zurich job portal at http://www.jobs.ethz.ch/ and
need to include:
- A
complete CV including a list of publications, invited talks, and awards
(if applicable) - A
short mission statement (1-2 pages) outlining the targeted research area
of the candidate - 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
Application
Deadline:
The deadline for applications is November 7, 2017.
Deadline:
The deadline for applications is November 7, 2017.
