PhD Fellowships at the Max Planck ETH Center for Learning Systems

The Max Planck ETH Center for Learning Systems is a joint research center 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 30 professors and senior researchers in the fields of machine learning, perception, robotics on large and small scales, as well as neuroscience. 

We offer

PhD Fellowships at the Max Planck ETH Center for Learning Systems

The Center offers a unique fellowship program, where PhD students are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Tübingen and Stuttgart. PhD students are expected to take advantage of the opportunities offered by both organizations and to actively seek cross-group collaborations. The Center also offers a wide range of activities like retreats, workshops, and summer schools. This is an exciting new program and we expect admission to be highly competitive. Each PhD fellow will have a primary location (chosen based on interests and match) and is expected to spend about one year at the other site as well. Fellowships will be remunerated through employment contracts, subjected to the rules of the Max-Planck-Society and ETH Zurich, respectively. All PhD fellows will 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. The deadline for applications is January 10, 2016. The selection interviews will take place on February 15 and February 16 at the Max Planck Society’s Ringberg Castle, Tegernsee, Bavaria.

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, 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.

For further information please contact Mrs. Sabrina Nepozitek at sabrina.Nepozitek@inf.ethz.ch (no application documents) or visit our website http://learning-systems.org/.

We are looking forward to receiving your online application including CV, a short mission statement and scanned transcripts. Please arrange for 2-3 reference letters to be sent directly to Sabrina Nepozitek. Please send it to: ETH Zurich, Human Resources, Mrs. Nadja Lang, CH-8092 Zurich.

 

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International Master of Science in Rural Development, IMRD

International Master of Science in Rural Development

The master course for future experts on rural development          

APPLICATIONS OPEN!

The joint International Master in Rural Development (IMRD), part of the European Commission's Erasmus Mundus JMD programme, offers the opportunity to become an international expert on rural development in its diversity of approaches and applications, on a scholarship provided by the European Union.

The IMRD master course programme, is a high level academic programme aimed at training top students from all over the world into specialists in integrated rural development, focussed on socio-economic and institutional aspects; not only from the European Union but also from developed, developing and transition countries outside the EU.

The  IMRD master course programme is a 2 year master programme (120 ECTS) jointly organised by 16 worldwide leading universities in rural development and agricultural economics. The methodology consists of a combination of basic and specialised training in technical, economic and social sciences, a case study of one month, an individual master thesis and a high extent of student and scholar mobility.

Through IMRD you can study at least one semester at the folowing universities: 

within Europe	outside Europe
Ghent University (Belgium)	ESPOL (Ecuador)
Humboldt University of Berlin (Germany)	China Agricultural University (China)
Agrocampus Ouest (France)	Nanjing Agricultural University (China)
University of Pisa (Italy)	University of Arkansas (USA)
Slovak University of Agriculture in Nitra (Slovakia)	University of Pretoria (South Africa)
	University of Agricultural Sciences of Bangalore (India)

Depending on their geographic interest and foreseen specialisation, students may opt for a regional and specific comparative course programme which leads to the awarding of a double degree on rural development and agricultural Economics (i.e. the IMRD joint diploma + a national diploma of a non-EU partner).

Summarizing, the IMRD Master Course Programme consists of 3 different learning tracks:

learning track:	IMRD	ATLANTIS	EKAFREE
focus:	worldwide	EU-USA	EU-Korea
dipoma type:	joint degree	double degree	double degree
diploma name:	IMRD	IMRD + MSc. Agricultural Economics	IMRD + MSc. Economics
more info here:	IMRD MSc	www.transatlantis.ugent.be	www.ekafree.eu
apply here:	IMRD application	www.transatlantis.ugent.be	www.ekafree.eu
scholarships?	yes	no	yes

Are you a Bachelor/Master
interested in Rural Development and Agricultural Economics ?
Seeking further specialisation through an International Masters Degree
interested in a multi-disciplinary and mobile training in Europe
and, for European students, an experience in a non-European university,
possibly financed on a scholarship ?

Apply Now

Ph.D. Student Position in Reinforcement Learning, University of Bern

The Diabetes Technology Research Group at the ARTORG Center for Biomedical Engineering Research has opened a Ph.D. student position in reinforcement learning for adaptive control.

The duties of the successful candidate include interdisciplinary collaboration and research in the following topics:

Reinforcement learning

Adaptive control system

Machine learning

Artificial pancreas

The ideal Ph.D. student should have:

Master in computer science, engineering, or applied mathematics.

Solid programming skills.

Excellent command of English.

Commitment to multidisciplinary research.

The candidate will be affiliated with the University of Bern as PhD student. The position is funded for three years.

The Diabetes Technology Research group offers an international environment and the possibility to conduct excellent research. The PhD project is part of a larger consortium and desires the close collaboration with clinicians, engineers and computer scientists, as well as with industrial partners.

If you are interested in working in a group with an international, interdisciplinary prof ile please send the application to Dr. S. Mougiakakou, stavroula.mougiakakou@artorg.unibe.ch. 

Applications should include (in a single pdf file)

letter of interest,

detailed curriculum vitae,

abstract of the master thesis,

certificates and transcripts from Bachelor and Master studies,

contact details of two referees.

Review of applications will begin immediately, and will continue until a suitable candidate has been identified.