The UC3M-Santander Big Data Institute (IBiDat) (www.ibidat.es) is a joint
initiative by Universidad Carlos III de Madrid and Banco Santander. It was
founded in 2015 and it has rapidly become an institution of reference in the area
of Big Data Analytics in Spain. IBiDat’s goal is to apply cutting-edge research to
solve industry problems, participate in research and innovation projects funded
by different national, European and international agencies and develop specific
industry-based training and teaching activities in the area of Big Data Analytics.
The Institute counts with a team of 7 full-time outstanding researchers as well
as more than 40 fellow affiliated researchers from multiple disciplines: statistics,
economics, finance, computer science, engineering, etc.
IBiDat is located in Madrid, one of the most livable and enjoyable cities in
Europe that offers an exceptional offer of recreational activities.
As a high quality research institute, the PostDocs in IBiDat should be capable of
performing those tasks expected from an early career faculty in academia
adapted to the institute’s focus on R&D applied to industry challenges. This
offers our PostDocs a twofold career development in both academia and
industry towards his/her next professional step.
Position Overview
The main tasks performed by IBiDat PostDocs include:
- Lead and participate in R&D projects with private companies.
- Lead and participate in proposal preparation for competitive public
and private funding programs such as: EU programs (H2020 and
Horizon Europe), National and Regional Research Programs and
Private Companies Research Programs.
- Preparation and participation in Big Data and Machine Learning
courses and masters.
- Conduct high quality research that leads to publications in top venues
(journals and conferences).
Conditions
- Salary: 32,000 €/ year.
o Extra economic compensation might be possible through the
participation in projects and/or teaching activities of the
Institute.
- Duration: 2 years (1+1). The continuation for the second year (upon
available funding) will be confirmed through a performance
assessment of the first year.
o Extension further than 2 years could be possible, subject to
funding availability and performance criteria.
- Starting Date: September 2020.
Requirements
- A PhD degree in Statistics, Mathematics, Computer Science,
Engineering, Finance or related fields on the starting date.
- Experience in R&D projects with companies or from public funding
programs.
- Good publication record in top journals and/or conferences in the
discipline of the candidate.
- Technical Skills:
o Strong analytical and modelling skills
o Knowledge of Data Analysis Programming Languages: R,
Python and/or Spark.
o Knowledge DataBases: mysql, neo4j, etc.
o Knowledge of Machine Learning Algorithms.
- Capacity to work both individually and as part of a team.
- Good communication skills.
Application Instructions
- Interested candidates should send by email:
o A statement of interest including the objectives to be achieved
in the position.
o A curriculum vitae (with picture included).
- The candidate should also ask two referees to send letters of
reference.
- DEADLINE for applications: July 10, 2020.
- All the candidate’s information and reference letters must be sent to:
Cristina Fdez-Oruña Fdez-Escalante
Office 18.2.D26 Phone: +34 91 624 85 14
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
