Jobs – VUB – RESEARCH POSITION IN DATA ANALYTICS

het-vub-logo

RESEARCH

The Data Analytics Laboratory within the Business Technology & Operations (BUTO) department at the Faculty of Economic and Social Sciences and Solvay Business School is looking for a highly motivated candidate with strong abilities and interest to perform research in the field of data analytics for carrying out a research project in close collaboration with a company, with the aim to obtain a Ph.D. degree in Applied Economics.

The topic of the research project concerns the development of a framework for integrating data analytics applications and the development of profit-driven data analytics to support customer relationship management, with the aim to optimize customer lifetime value, by analysing large amounts of structured customer interaction data, marketing campaign data and financial information. By integrating various types of analyses and predictions, the aim is to provide detailed and actionable insight and feedback for optimized managerial decision-making.

The candidate is expected to conceptually develop and implement these applications by analysing available real-life data in close collaboration with and at location of the involved company. The project will require a thorough study of analytical approaches as well as the specific field of application. Upon successful realization of the project, the candidate will dispose of a strong theoretical knowledge as well as practical experience in applying and implementing analytics projects within a company setting.

The Data Analytics Laboratory is a vibrant research team of data scientists which actively engage in research projects with the industry for developing innovative business applications of Big Data Analytics. For more information, visit data-lab.be.

TEACHING

Teaching exercises related to the course Statistics II for economic sciences to bachelor students.
Supervising bachelor paper and master thesis projects.
The teaching assignment relates to the research project, and will allow the candidate to reinforce his/her background knowledge on basic statistical principles, underlying the more advanced data analytical approaches.

OTHER

The candidate will have to assist in surveying the computer rooms (one evening per week, 16h-20h).

FURTHER DETAILS

Place of employment: Brussels (VUB, campus Etterbeek). For more information, please contact Wouter Verbeke: +32 629 20 53 or wouter.verbeke@vub.be

PROFILE

The candidate has an academic Master degree in Engineering, Computer Science, Business Engineering, Applied Economics, Applied Sciences or Sciences (e.g. Mathematics, Informatics, etc.), and combines strong quantitative and problem solving skills with a profound interest in business and management.

Excellent written and spoken knowledge of Dutch and English.

Preferably, the candidate possesses the following skills and knowledge:

Knowledge of data analysis (statistics, analytics, machine learning)
Programming skills (e.g., R, Matlab, SAS, Python, Java)
Strong communication skills verbal and written (essential!)

OFFER

As an employee of the Vrije Universiteit Brussel your days will be spent in a dynamic, diverse and multilingual environment. Both our campuses are set within green oases on the outskirts of the centre of the capital of Flanders, Belgium and Europe. This centre, with all its opportunities, is within your reach by public transport in under half an hour.

Depending on your experience and academic merits you will receive a salary on one of the pay scales laid down by the government. Hospitalisation cover and free use of public transport for travel to and from work are standard conditions of employment. If you would rather cycle to work, compensation is also available for that. Both campuses have extensive sporting facilities which are at your disposal and a nursery is within walking distance.
More information is available at vub.ac.be under the heading “future employees”.

Additional information

  • Planned starting date: 01/12/2017
  • Length of contract: 1 year, initially, extendable upon positive evaluation
  • Deadline for application: 31/11/2017
  • Contact person Wouter Verbeke
  • Contact telephone +32 2 629 20 53
  • Contact e-mail wouter.verbeke@vub.be
  • Applications can be submitted directly by contacting wouter.verbeke@vub.be or online via the website of the Vrije Universiteit Brussel

All applications must at least include the following attachments:

  • A CV
  • A concise motivation of the reason for applying including relevant experience (research activities, study stays etc.)
  • A copy of the master degree

Jobs – ULB – Postdoc in Data Science/Deep Learning/Big Data Mining for fraud detection

https://euraxess.ec.europa.eu/jobs/211909


  • ORGANISATION/COMPANY
    Université Libre de Bruxelles (ULB)
  • RESEARCH FIELD
    Computer science › Cybernetics
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    01/06/2017 00:00 – Europe/Athens
  • LOCATION
    Belgium › Brussels
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    01/03/2018

Position Description

Applications are invited for full-time post-doctoral (3 years) research position at the Machine Learning Group, Computer Science Department, Université Libre de Bruxelles, Belgium.

The vacancy is available to be filled in February (earliest) till April (at the latest). The researcher is expected to carry out fundamental research in Data Science/Machine Learning/Big Data Mining and to take an active role in an applied research project on deep learning for credit card fraud detection which is funding the position.

The Machine Learning Group, ULB is a research group that carries out theoretical research on statistical machine learning, predictive modeling and computational statistics, and takes part in several applied research projects in domains as diverse as big data mining, bioinformatics to biomedical engineering and fraud detection.

Located in heart of Brussels, the Université Libre de Bruxelles is renowned for quality research through its prestigious affiliate research centers and world renowned faculty. Brussels, the capital of Belgium and the European Union, is a cosmopolitan city renowned for its picturesque squares and buildings, serene parks and gardens and a very vibrant cultural life spiced up by many international languages.

Deadline

Applicants are encouraged to apply as soon as possible as positions will remain open until filled by suitable candidates.

Contact

Candidates are invited to send their CV with the detailed list of publications, their PhD thesis and the name of at least 2 reference persons  in .pdf format by email to gbonte@ulb.ac.be.

The subject field of your email must include MLG-JOB: research position.

Equal Opportunity Employer

ULB is an equal opportunity employer and is committed to employing more handicapped individuals and especially encourages them to apply. ULB wishes to increase the proportion of women in areas in which they are underrepresented. Women are strongly encouraged to apply.

Web site for additional job details

Required Research Experiences

  • RESEARCH FIELD
    Computer science › Cybernetics
  • YEARS OF RESEARCH EXPERIENCE
    4 – 10

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Applicants should have a recent PhD on a subject related to data mining, statistical machine learning or computational statistics. In particular, any research experience on data mining, machine learning, statistical analysis, or fraud detection will be an asset.

Applicants are expected to have strong programming skills, the ability to work independently, strong interpersonal skills, good writing and oral communication.

Upon offer of a position in MLG-ULB, the candidates who are non-EU citizens are required to obtain an appropriate long-term Schengen visa; further information is available from their nearest Belgian embassy.

Job – DATA-SCIENTIST – Koning Boudewijnstichting

Koning Boudewijnstichting
Samen werken aan een betere samenleving

De Koning Boudewijnstichting heeft als opdracht bij te dragen tot een betere samenleving.

De Stichting is in België en Europa een actor van verandering en innovatie in dienst van het algemeen belang en van de maatschappelijke cohesie. Ze zet zich in om een maximale impact te realiseren door de competenties van organisaties en personen te versterken. Ze stimuleert doeltreffende filantropie bij personen en ondernemingen.

Integriteit, transparantie, pluralisme, onafhankelijkheid, respect voor diversiteit en bevorderen van solidariteit zijn haar belangrijkste waarden.

Haar actiedomeinen momenteel zijn armoede en sociale rechtvaardigheid, filantropie, gezondheid, maatschappelijk engagement, ontwikkeling van talenten, democratie, Europese integratie, erfgoed en ontwikkelingssamenwerking.

De Koning Boudewijnstichting beschikt over heel wat kwantitatieve en kwalitatieve data over haar projecten. Dit is een enorme bron aan informatie, die op haar beurt weer input kan geven voor nieuwe initiatieven.

De Koning Boudewijnstichting is op zoek naar een

DATA-SCIENTIST (m/v)
Contract van twee jaar

Profiel
– je hebt ervaring met big data en structureren van data bv. Python (pandas, numpy), R, Spark, ….
– je kan een strategie definiëren om inzichten uit gegevens te extraheren
– je kan data consolideren en harmoniseren
– je kan datamodellen en data-analyses ontwikkelen
– je hebt interesse in de maatschappelijke ontwikkelingen van de actiedomeinen van de Stichting
– je wil graag de bron aan informatie van de Koning Boudewijnstichting beter en meer exploreren maar ook naar extra data op zoek gaan en de cases op een out-of-the-box manier aanpakken
– je hebt een ondernemende en enthousiasmerende attitude, identificeert opportuniteiten en neemt initiatief
– je werkt autonoom en hebt duidelijke verantwoordelijkheden, maar bent tezelfdertijd een teamplayer

Je hebt
– een master diploma in informatica, informatiemanagement, computerwetenschappen, statistiek of gelijkaardig
– bijzondere affiniteit met de thema’s van de Stichting
– uitstekende intermenselijke vaardigheden
– mondelinge en redactionele vaardigheden
– een gezonde dosis emotionele en sociale intelligentie
– talenkennis : Nederlands als moedertaal en een zeer goede kennis van het Frans en het Engels
– kennis van de courante softwarepakketten Word, Outlook, Excel, Powerpoint en sociale media

Wij bieden

– een voltijds contract van bepaalde duur (twee jaar)
– een inhoudelijk boeiende en gevarieerde job met veel autonomie en contacten
– een open, dynamische en menselijke sfeer
– een aantrekkelijk salaris met voordelen
– een flexibele werkregeling (glijdende uren, telewerk)

De Koning Boudewijnstichting wil de samenleving waarvoor zij zich inzetten zo goed mogelijk weerspiegelen. Kandidaten worden dan ook geselecteerd op basis van hun kwaliteiten en vaardigheden, ongeacht geslacht, afkomst of beperking. Als je een beperking hebt, laat ons dat vooraf weten. We zorgen ervoor dat je in de best mogelijke omstandigheden kunt deelnemen aan de selecties.

Meer jobs? kom dan naar de JobFair op 28 September.

Schrijf je in voor de JobFair van de data science Community dat doorgaat op DigitYser op 28 September.

#datascience JobFair will take place at Digityser on September 28th – come and meet 20 recruiting companies and over 70 candidates.
Companies can book their place by sending an e-mail to training@di-academy.com
Jobseekers can book their place though EventBrite: http://bit.ly/2x4YO79

Interesse om rechtstreeks te soliciteren?

Stuur uw brief + c.v. tegen uiterlijk 30 september 2017 naar mevrouw Pascale Criekemans, Brederodestraat 21 in 1000 Brussel of per e-mail : criekemans.p@kbs-frb.be
Voor meer info kan u bellen naar 02/549 02 14 of op kbs-frb.be

Improving your Consulting Skills as Data Scientist

While developing technical skills is vital for Data Scientists, ensuring to clearly communicate procedures and findings is equally important. For this purpose, we invite you to join our upcoming training “Consulting Skills for Data Scientists”, delivered by Eric Lecoutre and Sven Wauters, from WeLoveDataScience.

You can find more details in the related event. There is a special offer for students, jobseekers, and our partner companies. Don’t hesitate to join this training!

Data Analysis Internship at a political party

One of the participants at the Summer Coding Camp sent us this opening from his organisation:

The Brussels-based ALDE Party is seeking for a Data Analysis trainee for a 6 month period. The candidate should have a background in Statistics or Computer Science, or from the fields of Economics, Political Science, Psychology, or Sociology, with strong quantitative abilities.

More details can be found here: https://www.aldeparty.eu/data-analysis-trainee-mf

Please feel free to share this opportunity!

Meetup – August 1st – Q&A on GDPR implementation

 

gdpr_orig

Data Science Community and Legal Hackers join forces to untangle the GDPR mystery and to propose a workable and easy to use framework to allow each datascientist to stay inside the legal boundaries.

At first sight, it may not look so, but lawyers and data scientist have things in common. One of those things is the struggle with the implementation of the General Data Protection Regulation (“GDRP”). Each looks at it from a different perspective. Often they have the same goal: support the business in handling and using (personal) data “responsably”, like a “good head of the family”, in line with the state-of-the-art and the law.

This is one of the conclusion we made from the “data science and ethics” event in June.

So let’s try something. Let’s join forces and exchange best practices in a “questions and answers” session on GDPR implementation.

The idea

The idea is the enter the meeting with questions… and to come out of it with (some) answers.

As for the questions, please, do one on of the following:

  • raise them in the comment section
  • if you want, prepare a short presentation to give some context or an overview
  • keep a little notebook for them and bring it to the meetup

The questions can be legal, technical, organisational, practical,… We hope to gather all types of skills in the room to find the answers. Note that this also means that you don’t per se have to (already) be involved in the implementation at your company at present. The questions of people a bit further from a practical implementation may shed a fresh light on things.

As for the answers. They could be:

  • a clear view on the theory,
  • potential tooling,
  • templates or (anonymised) examples,

The approach

ASSEMBLY – Depending on the size of the group of attendees and the interests, we could go over all the questions in a single group or break up in sub-groups. In the latter case, we would assemble at the beginning (for an introduction) and at the end of the session (for a short report on each sub-group).

CONFIDENTIALITY – For people to open up in the meeting, we emphasize the commitment to confidentiality of all the attendees. Everything shared in the context of the event (prior to it, during and afterwards) should be kept confidential. So be careful when tweeting, taking photographs, making (video) recordings,… The practical information received can at best only be used anonymously (without reference to the source) and obfuscated (commingled amongst other sources). If you are not sure, explicitly ask the source if and how to use the info or material.

INFORMALITY – The approach is rather informal. This also means that any answers etc. are not advice and just a best effort nudge in a (good) direction. We don’t want anybody to worry about being called on for being open or offering an opinion during the meeting.

The joint forces

This organisation is a joint effort of (at least) two communities in Brussels:

 

What if it works?

If this seems to work out fine, we are considering organising this once every month or every two weeks.

Antwerp – FREE – Data Visualization Workshop with Nadieh Bremer

Data Visualization Workshop with Nadieh Bremer
Be one of 30 chosen ones to work with Data Visualization Designer Nadieh Bremer.

CFO Services’ Data4S offers you an 8 hour workshop with one of the world’s brightest Data Visualization Artists.

Nadieh graduated as an astronomer at the universities of Leiden and Berkeley, to become a Data Scientist and Analytics consultant, eventually discovering her true passion: visualizing data in an effective, understandable & aesthetic way.

With so many tools available to visualize data, it’s easy to get stuck in thinking about chart types, always just going for that bar or line chart, without truly thinking about effectiveness. In this workshop, Nadieh will teach you how you can take a more creative and practical approach to data visualization design. Your horizon will broaden on the types of charts that are out there in the wild, but you will learn a lot more.

WHAT YOU’LL LEARN:

  • What are the steps in the data visualization process
  • How to come up with ideas and concepts to visualize
  • How to apply a more creative approach to making memorable yet functional and user-friendly data visualizations
  • How to think of approaches to go beyond the default even within the environment of a tool
  • How to design with code and connect your design decisions with meaningful data early on

WHEN AND WHERE:

  • Friday, September 8, from 9 am to 6 pm
  • KAS (Kunst aan de Stroom), Wandeldijk 1-32, 2050 Antwerpen

Based on the motivation candidates provide, we will make a selection of 30 people that can attend the workshop, free of charge. Data4S’s expert practice leader Toon Borré and CFO directors Walter Deprins and Alexander Van Caeneghem will do the selection.

Photo: Nadie Bremer / VisualCinnamon.com

Summer Update

activity update

We just finished the most amazing quarter since our creation. We moved to DigitYser, found 2 new supporters with Sofina and the Brussels Region, we launched the second coding camp and datascience bootcamp. Unfortunately we also had to say goodbye to a good friend.

Moved to DigitYser & new core team.

DigitYser is the digital flagship of Brussels where communities gather to learn about, co-create and implement digital solutions focused on Blockchain, Data & AI , IOT and VR.

www.digityser.org

2nd Coding Camp and Data Science Bootcamp.

The candidate data scientist will sharpen his coding skills during the summer coding camp.

Companies will have the possibility to meet the candidates in person and offer them a job.

di-academy.com/bootcamp

Job Fair to meet the candidates of the Data Science Bootcamp.

Introducing our Summer Coding Camp participants to organisations interested to sponsor their Data Science Bootcamp is key to DigitYser’s mindset

Recruiting Interns.

We are recruiting interns and want to help them to get a much better insight into the following passions : AI – VR – Data – Blockchain – IoT – Social Media – Video.

Ending with sad news:

We end this overview with sad news as our friend Colin Molter has flown away. Colin was a respected data science professional & entrepreneur and Chief Data Science @ AXA.

You can leave a kind word for his family in the comments of the linkedin post.

Up to you ! Please help us.

  • Please share the info about the data science bootcamp to your colleagues.
  • Share the info of the job fair with your HR department.
  • Come and visit us at DigitYser and attend one of our events.
  • Write a nice message for Colin on our linkedin post.

Contact details & interesting links:

Join the Data Science Job Fair

Introducing our Summer Coding Camp participants to organisations interested to sponsor their Data Science Bootcamp is key to DigitYser’s mindset

jobfair4

We are so excited to have been contacted by so many talented professionals interested to join our Summer Coding Camp! This is a clear sign on the awareness towards the importance of developing and promoting Data Science skills.

This is a great prelude for the first Data Science Job Fair 2017 edition, where we bring in contact the participants of our Summer Coding Camp with organisations who are interested to sponsor their Data Science Bootcamp and to invite them to work for them. This is in line DigitYser’s mindset, which is highly focused on bringing together different stakeholders around the activities we organise.

A year ago, during each of our Data Science Job Fairs, an average of 20 companies (Innovation and Training Partners) were able to meet 40 participants of our Summer Coding Camp and Data ScienceBootcamp. This is a great opportunity which goes beyond a typical job fair, as the event’s format to both the training’s participants and the organisations to briefly present themselves to everyone, ensuring a clear visibility of their profiles and the added value they bring along.

The event is open to everyone: feel free to book your place and join us on August 1st. It is free of charge for the Summer Coding Camp participants and for our partners. Don’t hesitate to contact Philippe (pvanimpe@gmail.com) if you want to know all the benefits of being a partner.

If you want to join the Summer Coding Camp, you are still on time! Join our informative session on July 17th. or contact us asap via e-mail (training@di-academy.com).

Keep an eye on the upcoming events on our Facebook page, and join us at our Data Science events at DigitYser! We look forward to meeting you soon!

Announcing the second Data Science Bootcamp

bootcamp2

Why investing on a Data Science bootcamp is a win-win for both organisations and employees

“Once upon a time, when data was part of an isolated silo…”

The previous phrase perfectly reflects how data projects were perceived in the past. Long gone are those days! Nowadays, data is used in more integrated manner, allowing to connect the dots among different data pools and to predict trends. This digital transformation supports companies to be more proactive and remain competitive. In an era where terms like “Big Data” and “Blockchain” are ubiquitous, organisations need to ensure that the way they manage data is up to speed to take the full advantage of it.

A few weeks ago, during a panel discussion on the CDO role scope, Jonas Vandenbruaene pointed out that 40% of the cases when data projects do not meet expectations are related to lack of skills. In order to sort out this challenge, organisations need to actively support their employees to acquire and master data related skills. Furthermore, this requires to -on top of acquiring technical skills- understand how to correlate data to business decisions and processes.

The acquisition of technical skills for handling needs to be complemented with business acumen acquired through real life business cases

Hence, it is crucial that companies proactively encourage and support their employees to update their skill-set with a pragmatic approach. This certainly represents a win-win: while the organisation acquires state-of-the-art tools, the employees performance and motivation remain high, leading to a good employee retention level.

In order to help organisations to achieve this, at di-Academy we are thrilled to present the second edition of our Data Science bootcampThe program will take place at our brand new location (at DigitYser, centrally located next to metro Yser in Brussels) and is set up in two pillars:

  • The first pillar is a 7 week long Summer Camp (starting on August 7th.), providing knowledge on coding and technical tools via coached MOOC’s. Participants can also earn a certification on SAS, Microsoft Azure, SQL, Python, R, and Statistics.
  • The second pillar is a 12 week long Data Science Bootcamp (starting on October 2nd.), during which real business cases are presented by our partners on a basis of 2 days a week.

This scheme allows corporations two enrich their human talent in 2 directions:

  • Training their existing employees, allowing them to combine the bootcamp with their current job.
  • Meet highly skilled jobseekers who can be hired after the bootcamp. For this purpose, throughout the program, there will be several job fairs showcasing the participants’ talent.

Do you want to learn more details on these training and the job fairs? We invite you to join our presentation and Q&A session on July 3rd. and to contact us (training@di-academy.com, +32 (0) 470 365 507), so we can provide more details.

It is a pleasure for di-Academy to help talented companies and their employees developing digital skills. We look forward to be in touch with you and to keep alive the conversation on acquiring Data Science skills!