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Ph.D. candidate in Machine Learning («Research Assistant»)

School of Engineering

Zurich University of Applied Sciences ZHAW
is one of Switzerland's largest multidisciplinary universities of
applied sciences, with over 12,000 students and 3,000 faculty and staff.

one of the leading Engineering Faculties in Switzerland, the ZHAW
School of Engineering (SOE) emphasises topics which will be relevant in
the future. Our 13 institutes and centres guarantee superior-quality
education, research and development with a focus on the areas of energy,
mobility, information and health.

Since 2013 the Institute of
Applied Information Technology has teamed up with five other institutes
from three departments to establish one of the first interdisciplinary
Data Science Centers in Europe – the ZHAW Datalab (

the Research Group Information Engineering of the Institute of Applied
Information Technology (, and in conjunction with the
Ph.D. program of the Ca'Foscari University of Venice/Italy
(, we are looking for a
highly motivated candidate in Winterthur as:

Ph.D. candidate in Machine Learning («Research Assistant»)

Fields: Applied Machine Learning and Artificial Intelligence, especially Deep Learning and Reinforcement Learning.
Other fields of the group: Big Data & Database Technologies, Information Retrieval and Text Analysis.

Your responsibilities:
  • Develop
    novel data science solutions in the above mentioned fields as part of
    applied research projects with our partners from academia and industry
  • Interact
    with colleagues from the Datalab to both further the state of the art
    in data science as well as identify novel application areas
  • Participate in technology transfer and writing research papers and proposals
  • In
    parallel to the applied research work in Winterthur, study remotely
    towards a Ph.D. degree under the supervision of ZHAW and Ca'Foscari
    supervisors. This position is bound to a successful application to the
    abovementioned Ph.D. program and includes a stay in Venice for a season.
    (Please note the corresponding application deadlines of the
  • Possible topics for the Ph.D. thesis are
    open to discussion and include unsupervised learning using generative
    adversarial nets, the application of reinforcement learning to
    industrial use cases, or deep learning applied to audio data

successful candidate has finished a Master's degree in computer science
at a research university or a university of applied sciences within the
last two years. He or she must have reliable experience in one or more
of the above-mentioned fields and a good command as well as a passion
for programming. Good communication skills in English and in German are
an asset for the work in multidisciplinary teams. The ideal candidate
will demonstrate an understanding of the academic, industry, and
technology landscape, identify unsolved problems and propose novel ideas
for future activities. Particular emphasis is given to developing
prototypes, experimenting hands-on with data, and scientific evaluation
and documentation of results.

We offer a competitive, technically
stimulating, and exciting environment with the possibility to obtain a
doctorate from the University of Venice. Responsibility is provided with
respect to contributing to and furthering research agendas in one of
the abovementioned fields. The candidate will have the opportunity to
establish partnerships with industrial partners, acquire funding for
collaborative research, and to devise and transfer research solutions to
enterprise contexts. The position will also involve publishing, for
example by writing papers, contributing to open source software,
presenting at scientific conferences, etc. As well as providing an
excellent work environment, we provide intellectual liberty and
competitive compensation based on Swiss standards at one of the leading
houses for data science research in Switzerland.

ZHAW offers its
employees a flexible annual working time model and places for children
and infants in supervised day care centres.

Do you have any questions about this position?
additional information, please contact Dr. Thilo Stadelmann, Senior
Lecturer for Information Engineering, phone +41 58 934 72 08, e-mail

Are you interested?
If you would
like to apply, please use the online platform to send your full
application until May 31, 2017, attn. Eliane Leemann, HR Consultant in
Winterthur. Please be advised that we only consider applications via our
online-platform and not by mail or by e-mail.

Find more information:

Publizierungsdatum: 25.04.2017 08:05:05
Name des Ansprechpartners: Eliane Leemann, HR Consultant
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