Tuesday, July 12, 2016

dmanet Digest, Vol 101, Issue 9

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Today's Topics:

1. IPCO 2017 Call for Papers (Friedrich Eisenbrand)
2. Funded PhD position, optimization / medical robotics, Hamburg
(Alexander Schlaefer)


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Message: 1
Date: Fri, 8 Jul 2016 18:14:57 +0200
From: Friedrich Eisenbrand <friedrich.eisenbrand@epfl.ch>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] IPCO 2017 Call for Papers
Message-ID: <64877328-038A-4967-A33F-F401A32C61C4@epfl.ch>
Content-Type: text/plain; charset=utf-8

Call for Papers for the Nineteenth
Conference on Integer Programming and Combinatorial Optimization
IPCO XIX, June 26-28, 2017 to be held at the University of Waterloo, Ontario, Canada.


Submission deadline : November 20, 2016 (23:59 CET)

The IPCO conference is a forum for researchers and practitioners working on various aspects of integer programming and combinatorial optimization. The aim is to present recent developments in theory, computation, and applications. The scope of IPCO is viewed in a broad sense, to include algorithmic and structural results in integer programming and combinatorial optimization as well as revealing computational studies and novel applications of discrete optimization to practical problems.

Authors are invited to submit extended abstracts of their recent work by November 20, 2016 (23:59 CET); see the conference website for more information. The Program Committee will select the papers to be presented on the basis of the submitted extended abstracts. Contributions are expected to be original, unpublished and not submitted to journals or conferences with proceedings before the notification date (January 31, 2017). Papers violating these requirements will not be considered by the Program Committee.

During the conference, approximately 33 papers will be presented in single-track sessions. Each lecture will be 30 minutes long. The proceedings will be published as a volume of Springer Lecture Notes in Computer Science. They will contain extended abstracts of all accepted submissions. Each participant will receive a copy of the proceedings at the conference. It is expected that revised and extended versions will subsequently be submitted for publication in appropriate journals.

More information can be found on the conference website http://www.math.uwaterloo.ca/ipco2017


Programme commitee:
Nikhil Bansal (TU Eindhoven)
Gérard Cornuéjols (Carnegie Mellon University)
Daniel Dadush (CWI Amsterdam)
Santanu Dey (Georgia Institute of Technology)
Fritz Eisenbrand (EPFL, chair)
Samuel Fiorini (Université libre de Bruxelles)
Anupam Gupta (Carnegie Mellon University)
Satoru Iwata (University of Tokyo)
Jochen Koenemann (University of Waterloo, local arrangements chair)
Seffi Naor (Technion)
Kurt Mehlhorn (Max Planck Institute for Computer Science)
Britta Peis (RWTH Aachen)
Laura Sanità (University of Waterloo)
Laurence Wolsey (Université catholique de Louvain)
Rico Zenklusen (ETH Zürich)


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Message: 2
Date: Mon, 11 Jul 2016 14:16:46 +0200
From: Alexander Schlaefer <schlaefer@tuhh.de>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] Funded PhD position, optimization / medical
robotics, Hamburg
Message-ID: <alpine.WNT.2.20.1607111412101.3300@Floh>
Content-Type: text/plain; charset=US-ASCII; format=flowed

The Institute of Medical Technology at Hamburg University of Technology
has an open position for a Research Assistant / PhD candidate. The
fulltime position is funded for two years (salary according to level E13,
app. 43K EUR p.a.).

We have a research focus on robotics and navigation in medicine.
Particularly, we are currently interested in multi-criteria optimization
and machine learning methods to plan ultrasound image guidance for robotic
radiosurgery. This involves a large scale combinatorial optimization
problem. Your tasks include developing and publishing new methods,
fostering and extending collaborations with clinical and in-dustrial
partners, and preparing further grant proposals.

The successful applicant finished a Master's in computer science or
similar fields with outstanding results and has a solid background in
optimization (particularly mathematical programming), heuristic search and
machine learning methods. Excellent programming skills (Java / C++) and
fluency in English are essential; experience in pub-lishing papers is a
strong plus.

The offcial job posting is available online:
http://intranet.tuhh.de/aktuell/stellen/stelle.html?kenn_nr=D-16-106

Please, note that the deadline for sending your complete application is
August 7th, 2016. For further information, feel free to contact Professor
Alexander Schlaefer (schlaefer@tuhh.de) directly.


--
Alexander Schlaefer
Institute of Medical Technology
Hamburg University of Technology
+49 (0) 40 42878 3050
www.tuhh.de/mtec


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End of dmanet Digest, Vol 101, Issue 9
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