JOBS FOR POSTDOCS & PHD STUDENTS 2017
Update of 2 August 2017:
Thanks again for many excellent applications up to the deadline of 31 July! We are now evaluating them; we have not yet filled all positions (we might re-open the call later in case of need). We are not in a hurry, hoping to find people with the profile necessary to complement the already existing expertise. We are also announcing
numerous additional job openings, thanks to a big new ERC grant.
Thanks to generous gifts by Google DeepMind and by NVIDIA to Jürgen Schmidhuber's group
Swiss AI Lab IDSIA,
and thanks to a new SNF grant on deep learning-based
we can now offer
additional jobs for postdocs and PhD students.
(Recently we had job openings for the related
We specifically invite applications from people with postdoc experience.
We are looking for outstanding candidates
with experience / interest in topics such as
deep learning neural networks,
RNNs and Long Short-Term Memory (LSTM),
meta-learning or "learning to learn learning algorithms",
compressed network search,
reinforcement learning (RL) for
robots in realistic partially observable environments
where traditional RL (for board games etc) does not work,
curiosity-driven learning and the Formal Theory of Fun & Creativity,
hierarchical reinforcement learning,
universal learning machines,
search for programs
running on general purpose computers such as RNNs (see NIPS 2016 RNN Symposium),
"learning to think."
(You will also
collaborate with other lab members on other projects -
we are one big family!)
The general goal is to advance the state of the art in machine learning and AI.
Preferred start: Soon.
Duration for postdocs: initially for 2 years, with possibility of prolongation.
INSTRUCTIONS: Submit your CV, a brief statement of
research interests explaining why exactly you'd like to work with us,
and a list of 3 references and their
email addresses to firstname.lastname@example.org.
(Do not send articles or transcripts or other large files - they will be deleted.)
In the subject header,
mention your full name followed by the keyword rnnai2017, and add "PhD" in case of PhD students, or add "postdoc" in case of postdocs.
For example, if your name is Jo Mo, and you are applying as a PhD student,
use subject: Jo Mo rnnai2017 PhD.
As a PhD student, you must also submit your full application to SUPSI through this
PHD ONLINE FORM.
As a postdoc, you must submit it through this
POSTDOC ONLINE FORM.
The last application deadline was 31 July 2017
(we might re-open the call later though).
PhD student salary: Initially CHF 46'000 per year.
Standard postdoc salary: CHF 80'000 per year.
Low Swiss taxes. There is travel funding in case of papers accepted at important conferences.
There are also exciting connections to the world of AI startups.
There is an opportunity to
participate in teaching courses (in English) on machine learning, in
first A.I. Master's degree program
at the University of Lugano.
Requirements are also published within the "Direttive interne SUPSI" (direttiva 7A, Art. 2) and within "Regolamento del personale SUPSI" on the website www.supsi.ch (follow SUPSI, Documenti ufficiali).
Official language at
The Swiss AI Lab IDSIA
was the smallest of the world's top ten AI labs listed in the
"X-Lab Survey" by Business Week magazine.
IDSIA's most important
work was done after 1997 though.
As of March 2017, the
four most valuable public companies in the world (Apple, Alphabet/Google, Microsoft, Amazon) are heavily using IDSIA's deep learning algorithms.
IDSIA won many international pattern recognition competitions,
for example, the first official computer vision contests won by deep CNNs.
Its highly cited
Optimization Algorithms broke numerous benchmark records and
are now widely used in industry for routing, logistics etc (today
entire conferences specialize on Artificial Ants).
IDSIA is also the origin of the first mathematical theory of optimal
Artificial Intelligence and self-referential
Universal Problem Solvers (previous work on general
AI was dominated by heuristics).
Recurrent Neural Networks
learn to solve numerous previous unlearnable sequence processing
tasks through gradient descent,
Evolution and other methods. In particular,
IDSIA's LSTM RNNs are now available to billions of smartphone users, e.g., for
speech recognition, or machine translation through Google Translate.
Research topics also include
complexity and generalization issues,
unsupervised learning and information theory,
IDSIA's results were reviewed not only in
science journals such as Nature, Science, Scientific American,
but also in numerous popular press articles in
TIME magazine, the New York Times,
der SPIEGEL, and many others. Numerous TV shows on Tech & Science
helped to popularize IDSIA's achievements.
IDSIA is affiliated with
the University of Lugano (USI)
and USI's Faculty of Informatics
Many IDSIA alumni went on to become professors. Google
DeepMind is heavily influenced by our former students: DeepMind's first PhDs in AI and Machine Learning came from our lab, one of them co-founder, one of them first employee; others joined later.
IDSIA is located just outside the beautiful city of Lugano in Ticino
the scenic southern Swiss province. Milano, Italy's center of fashion
and finance, is 1 hour away, Venice 3 hours.
Switzerland is the world's leading science nation.
It is the origin of special relativity (1905)
World Wide Web (1990),
is associated with 105 Nobel laureates, and
boasts far more Nobel prizes per capita than any other nation.
It also has the world's highest number of publications per capita,
the highest number of patents per capita,
the highest citation impact factor,
most cited single-author paper,
As of 2016, Switzerland is the world's most
competitive country for the 7th year in a row, according to the World Economic Forum. It's also the
happiest country (1990s average), according to the Happiness Foundation.