Research Associate (Postdoc) in Artificial Intelligence/Machine…

Updated: 5 months ago
Deadline: 06 Mar 2023

Research Associate (Postdoc) in Artificial Intelligence/Machine Learning for Financial Applications
(Valid from 02/01/2023 to 06/03/2023)

Language: English (UK)
Country: Luxembourg

Organisation Interdisciplinary Centre of Security, Reliability and Trust
Job Number: UOL05353
Contract Fixed Term Contract
Duration 18 Month
Schedule Full Time
Work Hours 40.0 Hours per Week
Expected 01/03/2023
Start Date:

Functions: Postdoctorant
Job Postdoctoral researcher

About the SnT…
SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting
highly qualified talent.

The successful candidate will join the Computer Vision, Machine Intelligence and Imaging (CVI^2) headed by Prof. Djamila Aouada. CVI^2 offers the
opportunity to work on multiple projects (projects with industrial partners such as Lift-Me Off, POST, ARTEC 3D and DataThings and/or national and
international academic projects). All projects require conducting full scale experiments, including real-time implementation, data acquisition, training
and validation. CVI^2 is a group composed of highly motivated and active members.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the
right place!

Your Role…
This is a fully funded Postdoc position for 18 months (possible extension(s) up to 5 years in total). The position holder will be involved in the
National Centre of Excellence in Research in Financial Technologies (“NCER-FT”) project and will focus on the automation of anti-money laundering using
artificial intelligence techniques. The NCER-FT aims to establish a Centre of Excellence in Research in Financial Technologies to strengthen Luxembourg’s
position as an innovative financial hub by attracting talents and provide world class research and education. The successful candidate will be working
closely with Prof. Raphaël Frank (SEDAN research group, SnT, University of Luxembourg), Prof. Stanislaw Tosza (Faculty of Law, Economics and Finance,
University of Luxembourg) and other team members. She/He will:

* Propose and develop models and algorithms (Artificial Intelligence, Machine Learning, etc.) in order to meet the projects demands
* Work closely with project stakeholders
* Shaping research directions and producing results
* Attracting funding in cooperation with industrial partners
* Participating in proposal writing
* Coordinating research projects and delivering outputs
* Disseminating results through scientific publications
* Proposing and implementing real-time solutions
* Participating in organizing relevant workshops and demonstrations

Your Profile…
* A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics, Finance or a related field
* Highly experienced in one or more of the following topics:
* Machine Learning / Deep Learning
* Applied Mathematics
* Data science
* Experience with European projects (FP7/H2020), national/international projects and/or industrial project
* Strong mathematical background
* Experience with machine learning algorithms
* Commitment, team working and a critical mind
* Strong development skills in Python, C and C++
* Familiarity with deep learning frameworks such as Pytorch and Tensorflow
* Fluent written and verbal communication skills in English are mandatory

Here’s what awaits you at SnT…
* Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite,
or help make autonomous vehicles even better
* The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than
55 industry partners
* Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking
activities and more

Find out more about us!

In Short…
* Contract Type: Fixed Term Contract 18 Month
* Work Hours: Full Time 40.0 Hours per Week
* Location: Kirchberg
* Job Reference: UOL05353

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)

How to apply…
Applications should include:

* Curriculum Vitae
* Cover letter
* Contact Information of 3 referees

All qualified individuals are encouraged to apply.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system.
Applications by Email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to
gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg…
University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was
founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary
centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial
Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data
Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its
“international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Apply here


DISCLAIMER: This e-mail is confidential and should not be used by anyone who is
not the original intended recipient. If you have received this e-mail in error
please inform the sender and delete it from your mailbox or any other storage
mechanism. Springer Nature Limited does not accept liability for any statements
made which are clearly the sender’s own and not expressly made on behalf of
Springer Nature Ltd or one of their agents.
Please note that Springer Nature Limited and their agents and affiliates do not
accept any responsibility for viruses or malware that may be contained in this
e-mail or its attachments and it is your responsibility to scan the e-mail and
attachments (if any).
Springer Nature Limited. Registered office: The Campus, 4 Crinan Street, London,
N1 9XW. Registered Number: 00785998 England.

View or Apply

Similar Positions