Postdoc and PhD Positions in Machine Learning at TU Kaiserslautern (Meet me at *ICML*)
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Marius Kloft
Jul 11, 2018, 11:28:44 AM7/11/18
to Machine Learning News
Postdoc and PhD Positions in Machine Learning at TU Kaiserslautern
------------------------------------------------------------------
Multiple Postdoc and PhD positions in Statistical Machine Learning
at the Machine Learning Group,
Department of Computer Science,
TU Kaiserslautern
*Deadline: none (asap)*
The machine learning group at the Department of Computer Science
at TU Kaiserslautern (headed by Prof. Marius Kloft,
http://ml.informatik.uni-kl.de/) is recruiting
highly-motivated doctoral and postdoctoral researchers.
*MEET ME AT ICML 2018*
I am at ICML right now. One of the best ways to inquire about the job
is to meet me at ICML. E.g., you can meet me at our posters 54 and 147
or contact me via *Whova*.
*ABOUT THE GROUP*
The group develops theoretically grounded statistical machine
learning methods for analysis of big data. The group has
developed effective learning methods and statistical learning
theory for learning using multiple representations
(multiple kernel learning) or multiple learning
tasks (multi-task learning) as well as anomaly detection.
The group has successfully applied these methods in various
application domains, including network intrusion detection
(Remind system), visual image recognition (ImageClef Challenge
winner), computational biology (most accurate gene start finder),
computational medicine (most accurate drug sensitivity predictor)
and plant breeding.
The group regularly publishes on the above topics at conferences
such as NIPS, ICML, AISTATS, and ECML, as well as in journals
such as JMLR and MLJ.
The group's most recent research focuses on deep learning of
multiple data representations, deep anomaly detection,
large-scale Bayesian methods and extreme classification
(multi-class learning using an extremely large number of
label classes).
*THE LOCATION*
Kaiserslautern is one of the major locations of AI and ML research
in Germany, with its Department of Computer Science and
the German National Research Center for Artificial Intelligence,
as well as the Deep Learning Competence Center.
The Kaiserslautern-Saarbrücken Computer Science Cluster
is one of the major locations in Germany for computer science
research, comprising about 800 CS researchers in
two universities and ten research institutes
(including two Max-Planck and two Fraunhofer institutes).
*HOW TO APPLY*
The candidates are expected to conduct fundamental machine
learning research (usually by developing new algorithms or theory)
in one of the groups' core areas (described above).
Successful candidates can be given the opportunity
to gain teaching experience and to co-advise
undergraduate and M.Sc. students and work with other
PhD students and Postdocs.
The group draws from a network of international collaboration
partners (academic and industrial) in Europe, US, and Asia.
Collaboration with the partners is encouraged.
Applications are submitted by email to
kl...@cs.uni-kl.de
using subject
'Application for the PhD Position KL2-ML-PhD"
or
'Application for the Postdoc Position KL2-ML-PostDoc"
Applications shall include a link to the supporting documents,
which are asked to include a signed cover/motivation letter
mentioning the job ad number, a CV, supporting letters or
references, a pdf of the BSc and MSc theses, evidence for
mathematical skills (e.g., grades, mathematical thesis, etc.),
and - ideally - a research statement (mandatory for postdoc
applications).
The final contract will given to successful applicants
by the recruitment department of TU Kaiserslautern.
The duration of the contract depends on the position, the
contract, and the funding source. Payment is according
to the competitive German TVL E-13 payment scheme,
depending on the candidate's experience and qualifications.
Applicants are cordially invited to contact Marius Kloft
by email for further inquiries. Please use the
subject stated above.
--
Prof. Dr. Marius Kloft
Department of Computer Science
TU Kaiserslautern
http://ml.informatik.uni-kl.de
kloft [at] cs [dot] uni-kl [dot] de
------------------------------------------------------------------
Multiple Postdoc and PhD positions in Statistical Machine Learning
at the Machine Learning Group,
Department of Computer Science,
TU Kaiserslautern
*Deadline: none (asap)*
The machine learning group at the Department of Computer Science
at TU Kaiserslautern (headed by Prof. Marius Kloft,
http://ml.informatik.uni-kl.de/) is recruiting
highly-motivated doctoral and postdoctoral researchers.
*MEET ME AT ICML 2018*
I am at ICML right now. One of the best ways to inquire about the job
is to meet me at ICML. E.g., you can meet me at our posters 54 and 147
or contact me via *Whova*.
*ABOUT THE GROUP*
The group develops theoretically grounded statistical machine
learning methods for analysis of big data. The group has
developed effective learning methods and statistical learning
theory for learning using multiple representations
(multiple kernel learning) or multiple learning
tasks (multi-task learning) as well as anomaly detection.
The group has successfully applied these methods in various
application domains, including network intrusion detection
(Remind system), visual image recognition (ImageClef Challenge
winner), computational biology (most accurate gene start finder),
computational medicine (most accurate drug sensitivity predictor)
and plant breeding.
The group regularly publishes on the above topics at conferences
such as NIPS, ICML, AISTATS, and ECML, as well as in journals
such as JMLR and MLJ.
The group's most recent research focuses on deep learning of
multiple data representations, deep anomaly detection,
large-scale Bayesian methods and extreme classification
(multi-class learning using an extremely large number of
label classes).
*THE LOCATION*
Kaiserslautern is one of the major locations of AI and ML research
in Germany, with its Department of Computer Science and
the German National Research Center for Artificial Intelligence,
as well as the Deep Learning Competence Center.
The Kaiserslautern-Saarbrücken Computer Science Cluster
is one of the major locations in Germany for computer science
research, comprising about 800 CS researchers in
two universities and ten research institutes
(including two Max-Planck and two Fraunhofer institutes).
*HOW TO APPLY*
The candidates are expected to conduct fundamental machine
learning research (usually by developing new algorithms or theory)
in one of the groups' core areas (described above).
Successful candidates can be given the opportunity
to gain teaching experience and to co-advise
undergraduate and M.Sc. students and work with other
PhD students and Postdocs.
The group draws from a network of international collaboration
partners (academic and industrial) in Europe, US, and Asia.
Collaboration with the partners is encouraged.
Applications are submitted by email to
kl...@cs.uni-kl.de
using subject
'Application for the PhD Position KL2-ML-PhD"
or
'Application for the Postdoc Position KL2-ML-PostDoc"
Applications shall include a link to the supporting documents,
which are asked to include a signed cover/motivation letter
mentioning the job ad number, a CV, supporting letters or
references, a pdf of the BSc and MSc theses, evidence for
mathematical skills (e.g., grades, mathematical thesis, etc.),
and - ideally - a research statement (mandatory for postdoc
applications).
The final contract will given to successful applicants
by the recruitment department of TU Kaiserslautern.
The duration of the contract depends on the position, the
contract, and the funding source. Payment is according
to the competitive German TVL E-13 payment scheme,
depending on the candidate's experience and qualifications.
Applicants are cordially invited to contact Marius Kloft
by email for further inquiries. Please use the
subject stated above.
--
Prof. Dr. Marius Kloft
Department of Computer Science
TU Kaiserslautern
http://ml.informatik.uni-kl.de
kloft [at] cs [dot] uni-kl [dot] de
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