I am currently looking for students interested in pursuing a PhD in Information and Communications Technology at Universitat Pompeu Fabra in Barcelona, under my supervision, starting October 1st, 2017. My topics of interest are social computing, crisis informatics, news, and social media, plus all kinds of computing applications that address issues of social significance.

General information links:

You can apply using the above links. Your application has a higher chance of succeeding if accompanied by a recommendation letter from a potential advisor for your PhD thesis.

If you would like me to be your advisor, please fill this Expression of Interest (by August 4th, 2017) -- DEADLINE PASSED, FOLLOW ON LINKEDIN OR TWITTER FOR THE NEXT ONE.

The Data Transparency Lab has awarded our project "FA*IR: A tool for fair rankings in search" one of their grants for the year 2017. The grant will enable the development of an open source API implementing fair ranking methods within a widely-used search engine (Apache SOLR).

People search engines are increasingly common for job recruiting, for finding a freelancer, and even for finding companionship or friendship. As in similar cases, a top-k ranking algorithm is used to find the most suitable way of shortlisting and ordering the items (persons, in this case), considering that if the number of candidates matching a query is large, most users will not scan the entire list. Conventionally, these lists are ranked in descending order of some measure of the relative quality of items (e.g. years of experience or education, up-votes, or inferred attractiveness). Unsurprisingly, the results of these ranking and search algorithms potentially have an impact on the people who are ranked, and contribute to shaping the experience of everybody online and offline. Due to its high importance and impact, our aim is to develop the first fair open source search API. This fair ranking tool will enforce ranked group fairness, ensuring that all prefixes of the ranking have a fair share of items across the groups of interest, and ranked individual fairness, reducing the number of cases in which a less qualified or lower scoring item is placed above a more qualified or higher scoring item. We will create this fair search API by extending a popular, well-tested open source search engine: Apache Solr. We will develop this search API considering both the specific use case of people search, as well as considering a general-purpose search engine with fairness criteria. Taking a long-term view, we believe the use of this tool will be an important step towards achieving diversity and reducing inequality and discrimination in the online world, and consequently in society as a whole.

The DTL grant was awarded to Meike Zehlike (Technische Universität Berlin), Francesco Bonchi (ISI Foundation and Eurecat), Carlos Castillo (Eurecat), Sara Haijan (Eurecat), and Odej Kao (Technische Universität Berlin). Together with Ricardo Baeza-Yates (NTENT) and Mohammed Megahed (Technische Universität Berlin), we have been doing joint research on fair top-k ranking. Some of our results can be found on arXiv pre-print 1706.06368.

More details: DTL Grantees 2017 announced.

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  2. Hypnoise (Bruno Magri Remix) by Gabriel Evoke, Tough Art
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  4. Questions (Original Mix) by Cid Inc.
  5. Tu Droga (Danilo Vigorito Remix) by Chase Buch
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Good news is I got my accreditation as advanced researcher, which is the requirement to become a full professor in Catalonia. This is awarded by the AQU (Agency for the Quality of the University system).

More information: http://www.aqu.cat/professorat/catedratic/index_en.html

Eurecat is hiring! http://eurecat.org/en/eurecat/work-with-us/

About Eurecat Data Science »


Two research scientists (apply here)

Eurecat seeks for its Data Science team a full-time research scientist or senior research scientist in data mining, machine learning, or information retrieval.

Responsibilities:

  • To engage in technology transfer projects with companies (mostly in Catalonia), at all stages from requirements gathering and proposal preparation to design and implementation of software solutions.
  • To perform applied research in the framework of grants from the public sector (mainly from the European Union), including participating in the preparation and reporting related to such grants.
  • For senior researchers, to mentor and supervise junior colleagues in the fulfilment of the above goals.

Required skills:

  • A PhD or MSc in Computing Engineering, Computer Science, or equivalent.
  • Proven record of technology transfer results, published research results, or both.
  • Proficiency in the usage of data analysis tools.
  • English at a professional proficiency level.

Desired skills and experience:

  • Catalan or Spanish language proficiency are a plus.

Post-doc in Privacy or Non-Discrimination (apply here)

Eurecat seeks for its Data Science team a post-doc in data mining or machine learning. The focus will be on privacy-preserving data mining and algorithmic discrimination.

Responsibilities:

  • To engage in technology transfer projects with companies in Catalonia, at all stages from requirements gathering and proposal preparation to design, implementation, and deployment of software solutions.
  • To perform applied research in the framework of grants from the public sector, including participating in the preparation and reporting related to such grants.

Required skills:

  • A PhD in Computing Engineering, Computer Science, or equivalent.
  • Proven record of published research results on topics related to privacy-preserving data mining and /or algorithmic discrimination.
  • Proficiency in the usage of data analysis tools.
  • English at a professional proficiency level.

Desired skills and experience:

  • Catalan or Spanish language proficiency are a plus.

Two internship positions (e-mail jobs@eurecat.org to apply)

Eurecat seeks for its Data Science team two interns in data mining, machine learning, or information retrieval. The focus will be on the development and implementation of algorithms for data analysis and mining. Possible topics include anonymization and privacy, algorithmic bias, graph algorithms, recommender systems, classification and clustering, time series forecasting, and general-purpose data analysis.

Responsibilities:

  • To engage in technology transfer projects (mostly with companies in Catalonia) through the design, implementation, and deployment of software solutions.
  • To perform applied research in the framework of grants from the public sector.

Required skills:

  • Currently enrolled in a MSc or PhD program in Computing Engineering, Computer Science, or equivalent.
  • Proficiency in the usage of data analysis tools.
  • Experience designed and implementing data mining algorithms.
  • English at a professional proficiency level.

Desired skills and experience:

  • Catalan or Spanish language proficiency are a plus.

For more information, see the "data mining" offers under work with us in our site.

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