GRUPPO DI INGEGNERIA INFORMATICA - ING-INF/05

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The Gran Sasso Science Institute (GSSI, http://www.gssi.infn.it/) offers 4 PhD positions in Computer Science for the academic year 2017/18.

The fellowships are awarded for three years and their yearly amount is € 16,159.91 gross. All PhD students have free accommodation at the GSSI facilities and use of the canteen.

The application must be submitted through the online form available at www.gssi.it/phd/ by September 18, 2017 at 18.00 (Italian time zone).

For more information, please consult the Call for Applications at www.gssi.it/phd/ or write an email to info@gssi.it or call +39 0862 4280262.

Information of Computer Science research at the GSSI may be found at

http://www.gssi.infn.it/research-area/computer-science-research2

Keywords: dynamic information retrieval, task-based retrieval, user models, user studies, knowledge representation, statistical graphical modelling
Duration: 14 months
Start date: 1 October 2017 (or later this year)

Applications are invited for a Postdoctoral Research Associate post at University College London's Media Futures Group.

 

---------------------------- What we’re looking for -----------------------------

 

We are seeking a full-time postdoctoral researcher to join the Media Futures Group in the Department of Computer Science. This 14 month post will be funded by InnovateUK 's Industrial Strategy Challenge Fund for the project "Dynamic Information Retrieval for Digital Autonomous Workflow based web search" under the supervision of Prof Jun Wang and Dr Marc Sloan from our industrial collaborator Context Scout. Following completion of the project there will be an opportunity to join Context Scout as a full-time employee.

 

A PhD  (or near completion) in the areas of information retrieval, human computer interactions, and data mining, or related areas.  Experience with running user studies and modelling user interactions is essential. Candidates should also have a strong engineering and data science background.

 

You must be:
  • Proficient in scientific Python (Numpy, SciPy, Pandas etc), Javascript (React, jQuery), HTML, CSS, Django, AWS or Google Cloud Platform, Neo4J
  • Experienced in working with Chrome extensions or some web development is desirable
  • Knowledgeable about statistical modelling, graphical modelling and machine learning
  • A published author of academic articles

 

----------------------------- What you will be responsible for -----------------------------

 

You will be responsible for evaluating task-based information seeking behaviours using different information finding tools. You will develop a framework for collecting data on a live information finding prototype, build models for interpreting the data and run evaluations measuring the success of the users of the tools. You will design and run user studies in order to confirm your model hypotheses and  understand the search behaviours of users. You will publish the results of your research at top tier information retrieval venues.

 

In this role, you will work closely with our commercial partner on:
- a literature review and assessment of current task based information retrieval paradigms and assessment mechanisms
- a design for user studies
- the design and implementation of infrastructure for user data collection
- building a user model from the data
- analysing experimental results from the collected data
- publishing and presenting original research at top venues

 

-----------------------------Context Scout’s Mission -----------------------------

 

Context Scout aims to be what comes after web search.

 

We all know web search to be a fundamental tool for using the internet. For most of us, the first thing we do when we start our computers is to fire up our web browsers and type something into a search engine. That first search is our entry-point to the world wide web, the beginning of whatever task we’re about to do, the first action in the sequence of page reads, clicks, copies and pastes, scrolls, form submissions and other behaviour that make up 79% of the time we spend online. Search engines are an amazing technology for getting you started on the web, but once you’ve clicked on one of those blue links then you’re on your own.

 

Our technology follows on from where web search ends. By forming an understanding of your task Context Scout actively assists and aids towards completion. We aim to revolutionise the way every single online user utilises the world wide web - from the holiday booker to the financial analyst. The search engine handles the first 21% of information finding, we handle the rest.

 

----------------------------- What we offer -----------------------------

 

An exciting project working at the forefront of search technology with one of the top information retrieval labs in the UK and a rapidly growing, venture backed start-up based in London.

 

More information:
For more details about the positions, please contact Jun Wang  junwang@cs.ucl.ac.uk and Marc Sloan marc@contextscout.com, or alternatively, Jun Wang will be in attendance at SIGIR in Tokyo

=================================================================
CALL FOR APPLICATIONS
IEEE Computer Society Italy Section Chapter 2016 PhD Thesis Award
=================================================================

The IEEE Computer Society Italy Section Chapter recognizes
distinguished work by young researchers in the field of Computer
Science and Engineering through presentation of an Award for the
best PhD Thesis defended in an Italian University in 2016.
The Award consists in an honorarium of 500 Euro and a Certificate.

For the year 2016 one award will be presented.

Only candidates with the following requisites are eligible for
the award:
* be a Member of IEEE Computer Society
* have completed the Doctoral Program in an Italian University,
and defended the Thesis in 2016

Candidates must send their application by February 28, 2017
together with:
* Name and email address of the candidate
* Self-certification of IEEE Computer Society membership with
member number
* Title of the Ph.D. Thesis
* Name of the Ph.D. Thesis Advisor and his/her contact email address
* Name of the University and of the Ph.D. program where the Ph.D.
has been acquired
* Date of final defence
* Electronic copy in pdf format of the Ph.D. Thesis
* Electronic copy in pdf format of a 1-page Summary of the
contribution of the Ph.D. Thesis
* List of the publications co-authored by the candidate resulting
from the thesis, if any
* Electronic copy in pdf format of the publications co-authored
by the candidate concerning the doctoral topic, if any
* Curriculum Vitae listing educational background, positions held,
awards of the candidate
* A presentation letter by the PhD. Thesis Advisor

All documents must be sent in electronic format by e-mail to
sara.foresti@unimi.it with subject "Application for 2016 PhD Thesis
<family name of the candidate>"

The thesis will be evaluated by a Board of Experts in Computer
Science and Engineering designated by the IEEE Computer Society Italy
Section Chapter. Applicants will be notified of the outcome by
April 30, 2017.
The award will be presented at the 3rd International Forum
on Research and Technologies for Society and Industry (RTSI 2017),
which will be held in Modena on September 11-13, 2017.
All the decisions of the Board are final.

More information at:
http://sites.ieee.org/italy-cs/ieee-computer-society-italy-section-chapter-2016-phd-thesis-award/

Bando di concorso per una borsa di dottorato industriale per il corso di dottorato in Ingegneria dell'Informazione del Politecnico di Milano, Area 1 - Computer Science and Engineering, vincolata all’esecuzione del tema di ricerca “Digital Consumer Behavior Analysis: research path definition”

SCADENZA entro le ore 14.00 del 10 marzo 2016 (ora italiana)

Il bando e' disponibile alla pagina

http://www.dottorato.polimi.it/it/entra-al-dottorato/concorso-di-ammissione-e-borse-di-studio/bandi/bandi-aggiuntivi-xxxi-ciclo/

2015 Process Mining Dissertation Award Call for nominations Deadline May 1, 2015

On behalf of the IEEE Task Force on Process Mining, I am pleased to solicit nominations for the 2015 Process Mining Dissertation Award that is awarded to an outstanding PhD thesis focused on the area of business process intelligence. The award is particularly dedicated to works contributing to research in the area of process mining and/or the innovative use of process mining techniques for solving practically relevant problems.

With this award, the IEEE Task Force on Process Mining wants to draw attention to excellent works by young researchers and promote the research area as a whole.

The Best Process Mining Dissertation Award will be conferred by the IEEE Task Force on Process Mining to the winner during the meeting of the IEEE Task Force at the 13th Int. Conference on Business Process Management in Innsbruck, Austria on 31st August 2015. As part of this event, the recipient will be invited to give a presentation on the main results of the thesis in a form suitable for the event and audience.

The selected thesis will also be recommended for publication as a monograph in the LNBIP series published by Springer. Further, the Dissertation Award will be accompanied by a monetary prize of 1,000 EUR.

Which theses can be nominated?
====================================================
The call for nominations refers to PhD theses which have been successfully defended (and the PhD title awarded) in the period between 1 Jan 2013 and 31 Dec 2014. Nominations for theses that fall outside this period will not be taken into consideration.

The thesis must be written in English.

How to submit a nomination?
====================================================
1. A PhD thesis is nominated for the award by their supervisors. A nomination should consist of an electronic version of the thesis itself, accompanied by a brief letter (1 or 2 pages) from the supervisor describing why the thesis should be considered for the award.

2. Nominations should highlight the quality and impact of the work. The nominator may include a pointer to research work influenced by the results of the nominated thesis, and citations to the thesis or derived works, where available.

3. Submissions should be sent to the Award Organizers at the following emails: d.fahland@tue.nl (Dirk Fahland), guzzo@dimes.unical.it (Antonella Guzzo), m.larosa@qut.edu.au (Marcello La Rosa).


How is the best thesis selected?
====================================================
Nominations are judged by an international committee of five experts, members of the IEEE Task Force on Process Mining, based on the following criteria:

- Significance and innovation of the research contribution
- Technical depth of the research contribution, in terms of
  a. conceptualization
  b. formalization
  c. implementation
  d. evaluation
- Potential impact on academia
- Potential impact on practice
- Quality of presentation
- Quality and number of publications derived from the PhD work
- Total number of citations (incl. publications and thesis itself)

Important Dates
====================================================
- 1 May 2015: deadline for nominations
- 1 July 2015: announcement of the result to the winner
- 31 August 2015: awards ceremony at the IEEE Task Force meeting (as part of BPM'15)

Further Information and Updates are available from the website of the IEEE Task Force on Process Mining via
http://www.win.tue.nl/ieeetfpm/doku.php?id=shared:best_process_mining_dissertation_award

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