PHD POSITION IN COMPUTATIONAL MODELS OF LANGUAGE AND VISION 


One PhD position/studentship to study computational models of language
and vision is available in the Language, Interaction and Computation
track of the 3-year PhD program offered by the Center for Mind/Brain
Sciences at the University of Trento (Italy) (www.unitn.it/en/cimec).


The PhD program (start date: November 2015) is taught in English by an
international faculty. The Language, Interaction & Computation track
is organized by the CIMeC-CLIC laboratory, an interdisciplinary group
of researchers studying language and conceptualization using both
computational and cognitive methods (clic.cimec.unitn.it).


The topic of the PhD thesis will be defined with the student selected
as PhD candidate. Possible research directions include:
Compositionality in images; Methaphors in images; Searching for images
through natural language queries; Language, vision and reasoning. The
selected student will work closely with the research team of
the ERC project COMPOSES (http://clic.cimec.unitn.it/composes/).


* Desired Profile *


Given the interdisciplinary nature of the project, we seek a brilliant
student with at least some of the following background:


- Machine learning
- Computer Vision
- Natural Language Processing
- Good programming skills
- Ability to work with big data
- Mathematical and statistical skills.


If you think that your background is relevant to the research program
outlined on the project website (clic.cimec.unitn.it/lavi) and you
have good programming and quantitative skills, please do get in touch
even if you do not fully fit the profile above.


All prospective students are expected to have an interest in working
in an interdisciplinary environment.




* The Research Environment *


The CLIC lab (clic.cimec.unitn.it) is a unit of the University of
Trento's Center for Mind/Brain Sciences (CIMeC,
www.unitn.it/en/cimec), an English-speaking, interdisciplinary center
for research on brain and cognition whose staff includes
neuroscientists, psychologists, (computational) linguists, computer
scientists and physicists.


CLIC consists of researchers from the Departments of Computer Science
(DISI) and Psychology and Cognitive Science (DiPSCo) carrying out
research on a range of topics including concept acquisition,
corpus-based computational semantics, combining NLP and computer
vision, combining brain and corpus data to study cognition, formal
semantics and theoretical linguistics.


CLIC is part of the larger network of research labs focusing on
Natural Language Processing and related domains in the Trento region,
that is quickly becoming one of the areas with the highest
concentration of researchers in NLP and related fields anywhere in
Europe.


The CLIC/CIMeC laboratories are located in beautiful Rovereto, a
lively town in the middle of the Alps, famous for its contemporary art
museum, the quality of its wine, and the range of outdoors sport and
relax opportunities it offers:


http://en.wikipedia.org/wiki/Rovereto




* Application Information *


The official call of the Doctoral School in Cognitive and Brain
Sciences will be announced shortly, and application details will be
available on the page:


http://www.unitn.it/en/drcimec/10140/admission-doctoral-school-cognitive-and-brain-sciences


We strongly encourage a preliminary expression of interest in the
project. Please contact Raffaella Bernardi (bernardi@disi.unitn.it),
attaching a CV in pdf or txt format, or a link to an online CV. For
information about the application process, please contact the school
administrator (phd.cimec@unitn.it).

Call for PhD students - 5G anticipatory networks


We look for brilliant PhD students, we offer an exiting research program and a very competitive salary.


Deadline: March 15


The rapid growth in mobile broadband network data lead to the unprecedented speed of 4G LTE deployment. The evolution calls for sustainable capacity growth and performance improvement in the next generation of wireless systems, namely 5G. The success of 5G heavily relies on delivering satisfactory user experience at a low operational cost. In this context, research and development (R&D) is required not only for technological innovation at the device level, but also management system design for the flexibility necessary to predict and adapt to network usage. To this end, anticipation is a promising and new approach. By predicting and adapting to upcoming events at various time scales, an anticipatory-enabled 5G network dramatically improves the operation quality and efficiency in comparison to the existing systems. Deploying anticipatory networking with effective prediction of network behaviour offers a twin advantage: First, resources ranging from spectrum and power to netwo!
 rk interfaces buffers can be managed optimally. Second, network operators can jointly plan how to share infrastructure and resources to provide service with substantially reduced expenditure.


The ACT5G project takes an inter-sector approach for anticipatory networking for 5G. The project fuses and integrates the scientific expertise of the participating academic sites with the industrial know-how of the consortium. The R&D core of ACT5G consists of models, methods, concepts, and algorithms for network anticipation and network reaction. The R&D tasks are carried out along with researcher training.


The PhD training programme of ACT5G is designed the maximize the partners' synergy, to promote career opportunities of the ACT5G Early-Stage Researchers in the European ICT arena, and thus generate new expertise and human capital for the European Research Area.


The ACT5G Consortium is starting the recruiting process for four PhD students as “Early-Stage Researchers” (ESRs) at Linköping University (LiU - Sweden) and Politecnico di Milano (Polimi - Italy), on the research area of Anticipatory


Networking, aiming at predicting traffic and environment changes in order to optimize wireless network resources and operations.


In particular the following four topics will be assigned to the recruited researchers:
• ESR1: Network Data Analytics [Academic Site: Polimi]
• ESR2: Wireless Link Status Anticipation [Academic Site: LiU]
• ESR3: Resource & Management Optimization for Wireless Software-defined Networking [Academic Site: LiU]
• ESR4: Performance and Enablers of Infrastructure and Resource Sharing [Academic Site: Polimi]


Each post is funded for 36 Months by the EU under the rules of the MSCA ITN EID Scheme1 and provides a very competitive salary (3710 euro/month before taxes and social security fees, +600 euro/month if family obligations exist). The recruited researchers are required to
• follow a PhD program at the respective academic sites and
• spend 50% of their project involvement at Alcatel Lucent - Bell Labs, in Stuttgart, Germany.


For more information and application:
http://act5g.itn.liu.se
Call for applications in PDF: http://act5g.itn.liu.se/info.pdf

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The Emmy Noether Research Group on Probabilistic Numerics, hosted by the Department of Empirical Inference at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, has several open, fully funded positions for PhD students, starting from April 2015 or as soon as possible thereafter.


We develop probabilistic interpretations of numerical tasks and associated methods, particularly in linear algebra, optimization, and the solution of differential equations. Numerical methods infer latent quantities from tractable ones, hence they can be interpreted as learning machines. Doing so opens a new perspective on classic algorithms, and leads to new algorithms that share information between related or chained computations, can be tailored to their task, and shed new light on big old questions. 


Our group has and keeps a machine learning background (we co-authored 3 NIPS papers last year). The MPI IS is a leading institution in machine learning, computer vision and robotics, offering rich social and technological infrastructure for PhD students. Tübingen is a quite international college town in the heart of Europe, the working language at the institute is English.


More details on the group and the positions can be found at http://goo.gl/1T4dFJ, or just contact:
____________________________________________________________________


Philipp Hennig, PhD
PI, Emmy Noether Group on Probabilistic Numerics
Department of Empirical Inference
Max Planck Institute for Intelligent Systems
Spemannstraße 38, 72076 Tübingen, Germany
phennig@tuebingen.mpg.de  |  +49 7071 601-572  
http://goo.gl/1T4dFJ

Please find below an offer for a PhD position on the subject Streaming Path Queries for Linked Data.


* LOCALIZATION
The Links Research Team, common to the CRIStAL research lab and Inria Nord Europe research center, Lille area, France.
The PhD candidate will defend a Doctorate degree at University of Lille.


* APPLICATION
We are looking for an excellent candidate expecting to get a Master Degree in Computer Science before September 2015.
Applications should be sent by email to
links-apply+streaming@lists.gforge.inria.fr
The application should include the candidate's CV, a cover letter explaining the candidate's motivation for the subject, and the names and contact information for one or two references who will be contacted directly. Please contact us on the same email address if you need additional information.


* IMPORTANT DATES
Suggested starting date for the thesis : between October and December 2015.
Deadline for application : May 15th 2015.


* ABOUT THE POSITION
The candidate will be employed by Inria. Monthly salary after taxes : around 1580 euro (social security included).
The thesis director is Joachim Niehren.


* LINKS
The Links research team https://team.inria.fr/links/
The CRIStAL research lab http://www.cristal.univ-lille.fr/
Inria Nord Europe http://www.inria.fr/centre/lille
University of Lille Science and Technologies http://www.univ-lille1.fr/


* DETAILED SUBJECT DESCRIPTION AND REFERENCES


Complex event processing for linked data [1,2] is fundamental to dynamic data management, where linked data is produced dynamically, exchanged over streams, stored in large scale distributed environments, queried, updated, and transformed [12]. Even though streams of complex events appear most naturally in distributed applications with sensors producing continuous data, or social networks in which all kind of structured data is exchanged, stream processing has not been introduced into NoSQL databases, whose purpose is to serve for managing  distributed linked data. In particular, we are interested in IBM's NoSQL database JAQL [3], which like all others is based on map/reduce style distributed programming with path queries for linked data [4].


In this thesis, we propose to develop stream processing algorithms that can be applied for complex event processing for linked data and integrated into NoSQL databases. The first task is to develop algorithms for answering path queries on data graphs. We hope that we can rely on existing streaming algorithms for path queries that were developed for data trees in the context of XML [8,9,10,11] also within the Links project [5,6]. The new questions are the following:
- Under which conditions can queries on data graphs be reduced to queries of spanning tree of the graph.
- How does the choice of the spanning tree influence the queries that can be expressed for the data
graph, and how does the complexity of the algorithms for query answering depend on it.
- How can one answer SPARQL queries on RDF graphs including conjunctive path queries with data
joins and aggregation?
- How can all this be done in practice by extending Links' QuiX-Toolsuite for answering path queries on XML data trees.


The second task is to lift streaming algorithms for answering path queries into map-reduce style distributed programming language based on path queries for linked data. The idea that a function can be mapped to linked data on many processors, return a linked data stream on any processor, and reduce the streams to a single result stream in real time. Rather than dealing with NoSQL databases directly, our objective is to develop a canonical purely functional programming with path queries and map-reduce distribution as a kind of core language. Motivated by our previous work on X-Fun [6,7], a uniform core language for XML processing with or without streams, we believe that a uniform distributed programming language should exist, that can serve as core language for various NoSQL databases, with or without streaming semantics.
The new questions are as follows:
- find a uniform language for distributed map-reduce style programming, that can serve as core language for NoSQL databases,
- provide a streaming evaluator for this language under the assumption that a algorithms for answering path queries on streams is provided.
- implement the streaming streaming evaluator and apply it prototypically to a fragment of a NoSQL database such as JAQL.


Bibliography
[1] Darko Anicic, Sebastian Rudolph, Paul Fodor, and Nenad Stojanovic. Stream reasoning and complex
event processing in ETALIS. Semantic Web, 3(4), 2012.
[2] Danh Le Phuoc, Minh Dao-Tran, Josiane Xavier Parreira, and Manfred Hauswirth. A native and adaptive
approach for unified processing of linked streams and linked data. In ISWC, 2011.
11[3] K. S. Beyer, V. Ercegovac, R. Gemulla, A. Balmin, M. Y. Eltabakh, C.-C. Kanne, F. Ã-zcan, and E. J.
Shekita. JAQL: A scripting language for large scale semistructured data analysis. Proceedings of the VLDB
Endowment (PVLDB), 4(12):1272â?"1283, 2011.
[4] V. Benzaken, G. Castagna, K. Nguyen, and J. Siméon. Static and dynamic semantics of NoSQL
languages. In R. Giacobazzi, R. Cousot, R. Giacobazzi, and R. Cousot, editors, ACM Symposium on
Principles of Programming Languages (POPL), pages 101â?"114. ACM, 2013.
[5] Tom Sebastian, Denis Debarbieux, Olivier Gauwin, Joachim Niehren, Mohamed Zergaoui
Early Nested Word Automata for XPath Query Answering on XML Streams. Theoretical Computer Science,
Elsevier, 2015, pp.42.
[6] Pavel Labath, Joachim Niehren. A Uniform Programming Language for Implementing XML Standards
41st International Conference on Current Trends in Theory and Practice of Computer Science, Lecture Notes
in Computer Science, Jan 2015.
[7] Pavel Labath. Hyperstreaming for XML standards. PhD thesis. University of Bratislava, Jan 2015.
[8] A. K. Gupta and D. Suciu. Stream processing of XPath queries with pred- icates. In ACM SIGMOD
Conference, pages 419â?"430. 2003.
[9] M. Kay. A streaming XSLT processor. In Balisage: The Markup Conference 2010. Balisage Series on
Markup Technologies, volume 5, 2010.
[10] B. Mozafari, K. Zeng, and C. Zaniolo. High-performance complex event processing over XML streams. In
SIGMOD Conference, pages 253â?"264. ACM, 2012.
[11] D. Olteanu. SPEX: Streamed and progressive evaluation of XPath. IEEE Trans. on Know. Data Eng.,
19(7):934â?"949, 2007.
[12] Mohammed Elseidy, Abdallah Elguindy, Aleksandar Vitorovic, Christoph Koch: Scalable and Adaptive
Online Joins. PVLDB 7(6): 441-452 (2014)

The Chemical and Biological Systems Engineering Laboratory at the Institute of Chemical and Bioengineering is seeking a highly motivated

PhD student “gene regulatory network inference”

Be a part of an exciting and interdisciplinary research in systems biology and engineering! We are seeking a highly motivated PhD student in the area of gene regulatory network inference. The research work will be computational and theoretical in nature, but will also involve collaborations with experimental partners. In this project, we are studying the decision making process involved in stem cell differentiation through the development and application of network inference methods for single cell gene expression data.

The ideal candidate should have an excellent academic record with a Masters degree in systems biology, mathematics, statistics, bioinformatics, engineering or a related field. Knowledge of molecular biology is highly desirable. The candidate should also have a strong interest in theoretical and computational research. We have a very international working environment with highly energetic people. Proficiency in English is required. The position is available immediately, but the starting date can be negotiated.

For more detailed information please contact Prof. Rudi Gunawan by e-mail rudi.gunawan@chem.ethz.ch (no applications) and visit our webpage http://www.cabsel.ethz.ch/.

Please submit your application online including application letter, curriculum vitae, references and English-translated transcripts with attention to: ETH Zurich, Hans-Peter Freitag, Human Resources, CH-8093 Zurich.