5.1 PhD: Norwegian University of Science and Technology, Norway
Contributed by: Lars Imsland, lars.imsland@itk.ntnu.no
Ph.D. position: "Iceberg and sea ice drift estimation and prediction"
A Ph.D. scholarship is offered within the area of "Iceberg and sea ice drift estimation and prediction" at the Department of Engineering Cybernetics(http://www.ntnu.no/itk/english), Faculty of Information Technology, Mathematics and Electrical Engineering, Norwegian University of Science and Technology (NTNU).
Offshore operations related to oil and gas production are entering ice-infested regions in the Arctic. These operations must take into account incoming drift of ice, either in the form of icebergs, or sea ice, or both, depending on location and time of year. A system must be devised for prediction of ice drift, for the operation to take timely appropriate action (for ice or iceberg management, change of vessel heading, disconnect, etc.). This system will likely be based on estimation, that is, models of ice drift updated by information integrated from various sources and sensor systems, such as satellite, radar, sensor buoys, deployed sensor nodes, metocean data from other sources, etc. The task of the candidate is to develop such a system in a Moving Horizon Estimation framework using numerical optimization.
The Ph.D.-project is partially funded by, and will be run in close cooperation with Statoil ASA, the world's largest offshore oil and gas operator, which has significant activities in the Arctics. It is aimed for experimental work to be carried out in polar regions. The project will tie in with activities in the IME Faculty's research project, "CAMOS – Coastal and Arctic Maritime Operations and Surveillance".
Applicants must have relevant education as M.Sc. in control engineering, engineering cybernetics, applied mathematics with specialization in numerical optimization or similar and documented qualification as required of doctoral students at NTNU. Experience and specialization within relevant topics such as ice drift and/or metocean modeling, marine hydrodynamics, state- and parameter estimation including Kalman filtering, moving horizon estimation and model predictive control, numerical software for optimization should be documented in the application, and will be given emphasis. In addition to documented excellent qualifications, personal qualities and strong motivation for a research career is important.
Deadline: August 8th.
More information, including application procedure: http://www.jobbnorge.no/job.aspx?jobid=94903 .
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5.2 PhD: Czech Technical University in Prague, Czech Republic
Contributed by: Didier Henrion, henrion@laas.fr
We are seeking candidates for a 3-year PhD position under the supervision of Didier Henrion (LAAS-CNRS University of Toulouse, FR and Faculty of Electrical Engineering, Czech Technical University in Prague, CZ) and Martin Hromcik (Faculty of Electrical Engineering, Czech Technical University in Prague, CZ) on the topic of polynomial optimization for systems control with aerospace applications. The PhD position is funded by a grant of the Czech Science Foundation (GACR), with a monthly salary of approx. 20000 CZK after taxes. The applicant is expected to reside in Prague, and travel occasionally to Toulouse.
Interested candidates are advised to send a detailed curriculum vitae and a motivation letter to
Didier Henrion <henrion@laas.fr> and Martin Hromcik <xhromcik@fel.cvut.cz>
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5.3 M.S./PhD: Missouri University of Science and Technology, USA
Contributed by: Tansel Yucelen, tansel.yucelen@ae.gatech.edu
We are searching for two exceptional M.S. and/or Ph.D. students with a background in dynamical systems and controls.
These students are expected to perform research at the Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, on the areas of:
(1) Autonomous Systems
(2) Multivehicle/Multiagent Systems
(3) Robotics and Learning
Our intention is to give a strong guidance in order to maximize the changes of our students of building a rewarding research career.
If you are interested in joining our group, please send an email to tansel.yucelen@ae.gatech.edu including (1) your background, (2) your theoretical/experimental strengths and interests, (3) your resume, and (4) one (or two) publication(s) of yours.
Tansel Yucelen, Assistant Professor
Department of Mechanical and Aerospace Engineering
Missouri University of Science and Technology
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5.4 PhD: Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
Contributed by: Colin Jones, colin.jones@epfl.ch
PhD: Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
http://la.epfl.ch
Title: Smart Building Networks (BuildNet)
The BuildNet program will develop predictive control methods to optimally manage the aggregate electrical consumption, storage and production of a large network of smart buildings in order to offer various electric utility applications that will be critical to the operation of the greener European grid in coming years.
The student will join a collaborative project funded by an ERC Starting Grant consisting of two postdoctoral fellows, and three PhD students and will join a research group with a broad range of expertise in optimization and predictive control. A candidate successfully completing a PhD within this team can expect to become an expert in the theory and practice of optimization, predictive control and their application to the optimal management and operation of smart grids.
The ideal PhD candidate will have a background and interest in control systems, optimization and/or power systems.
The successful candidate can expect a gross salary starting at 51'100 CHF, together with other benefits depending on their civil status.
To Apply: Fill in the form provided by the doctoral program in Electrical Engineering (www: phd.epfl.ch), and then email the completed application package directly to Colin Jones (colin.jones@epfl.ch)
Zeeshan Rizvi
PhD Student,
Intelligent Control Systems Lab,
Room 711, Boyd Graduate Research Center,
Intelligent Control Systems Lab,
Room 711, Boyd Graduate Research Center,
College of Engineering
University of Georgia
Athens GA 30602, USA
Email: szrizvi@uga.edu szeeshanrizvi@gmail.com
University of Georgia
Athens GA 30602, USA
Email: szrizvi@uga.edu szeeshanrizvi@gmail.com
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