Vacancy for a postdoctoral researcher in the field of predictive analytics

11 May 2024
Job Information

Organisation/Company

KU Leuven

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)

Country

Belgium

Application Deadline

30 May 2024 - 00:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38 hours/week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

BAP-2024-299

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

This applied research project is a collaboration between the FI and the LIRIS and DTAI research groups at KU Leuven. A wide range of predictive classification and regression models are used to support operational decision-making at the FI. Currently, these prediction models take static or time-agnostic feature sets as input. The objective of this project is to develop (a) framework(s)/methodology(ies) to extract time-aware features from (i) transaction, (ii) event, and (iii) interaction data of the financial institution that can be used as additional inputs to these predictive models. The developed methodology(ies) need(s) to be validated empirically. 

Requirements

Research Field

Computer science

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

We offer a full-time position as a postdoctoral researcher for one year year (extension may be possible following a positive evaluation). The tentative start date is September 2, but can be adjusted and determined in consultation with the candidate. You will work under the supervision of prof. Wouter Verbeke (LIRIS), dr. Jente Van Belle (LIRIS), and prof. Jesse Davis (DTAI). You will be located at the Research Centre for Information Systems Engineering (LIRIS) at KU Leuven (Naamsestraat 69, Leuven, Belgium). You will find a dynamic and pleasant working environment in this research group that is actively involved in scientific research at the highest international level in different domains such as predictive analytics, prescriptive analytics, process mining, and conceptual modeling. Research projects in these domains are focusing both on fundamental and applied research. 
This position offers candidates an opportunity to further develop their research skills within the context of the project. As a postdoctoral researcher, like all other academic staff, you are expected to participate in seminars and conferences, and to perform a limited number of educational/service tasks (e.g., supervising master's theses), next to your main research tasks directly linked to the project described above.

Eligibility criteria

• You have or will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on predictive analytics/machine learning.
• You have a mature publication track record with publications in top journals and/or conferences within the field of predictive analytics/machine learning.
• Some experience in applied research projects in collaboration with industrial partners and/or working with real-world data is a plus.
• You are fluent in English (written/spoken) and have strong communication and presentation skills.

Selection process

For more information please contact Mr. Jente Van Belle, tel.: +32 16 37 30 08, mail: [email protected] or Prof. dr. ir. Jesse Davis, tel.: +32 16 32 78 05, mail: [email protected] .
You can apply for this job no later than 30/05/2024 via the online application tool

Work Location(s)

Number of offers available

1

Company/Institute

KU Leuven

Country

Belgium

State/Province

Vlaams Brabant

City

Leuven

Postal Code

3000

Street

Leuven

Geofield

Where to apply

Website

https://easyapply.jobs/r/aljxA2a21TeYsa4Wf0Xc

Contact

State/Province

Leuven

City

Vlaams Brabant

Street

Leuven

Postal Code

3000

E-Mail

[email protected]

STATUS: EXPIRED