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 Parallel computing and Optimisation Group (PCOG) is led by Prof. Pascal Bouvry and Dr. Grégoire Danoy as deputy head. Detailed information about the group is available at http://pcog.uni.lu/
The Cloud-Based Computational Decision (CBD) project is led by Prof. Pascal Bouvry and Dr Caesar Wu. CBD project is designed to study critical and strategic decision-making processes via cloud computing, particularly how to leverage machine learning (ML) and Artificial Intelligence (AI) for complex and ambiguous problems (pricing, the total ownership cost (TOC), return on investment (ROI), net present value (NPV), product, market segmentation, etc.) that many Small Medium Enterprises (SME) are facing.
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!
This is a fully-funded position for three years (extendable to an additional 4th year) at the University of Luxembourg. The research aims at creating an innovative and novel solution for practical and strategic decision-making to grow high technology companies. The study has three main objects: a.) generate various knowledge representations or models, b.) train the models in a cloud environment, c.) build a software prototype with an advanced database for open access.
The successful candidates will join a strong and motivated research team led by Prof. Pascal Bouvry in order to carry out research to pursue a PhD on the following topic: Knowledge Representations and Modeling (#1), Learning From Data (#2), and Cloud computing (#3).Effective Research Methods (#4)
The position holder will be required to perform the following tasks:
- Carrying out research in one of the predefined areas;
- Disseminating results in top scientific venues;
- Assisting in the organization of relevant workshops;
Qualification: The candidate should possess an MSc degree or equivalent in computer science, computer engineering, or applied mathematics.
Experience: The ideal candidate should have some knowledge and experience in a number of the following topics:
- Database Management;
- Parallel/Distributed computing;
- AI/Machine learning
Programming Skills: Python, Java, SQL. Some knowledge of R and C++ is desirable.
Language Skills: Fluent written and verbal communication skills in English are mandatory. Some knowledge of French, German or Luxembourgish is desirable.
Here’s what awaits you at SnT
- A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
- 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 45 industry partners
- Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
- Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
- 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
But wait, there’s more!
- Complete picture of the perks we offer
- Discover our Partnership Programme
- Download the brochure: Why choose SnT for your PhD?
Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.
- Contract Type: Fixed Term Contract 36 Month – extendable up to 48 months if required
- Work Hours: Full Time 40.0 Hours per Week
- Employee and student status
- Location: Belval
- Job Reference: UOL04599
Applications should be submitted online and include:
- Full CV, including a list of publications and name (and email address, etc.) of three referees;
- Transcript of all modules and results from university level courses taken the last two years;
- Research statement and topics of particular interest to the candidate (300 words).
All qualified individuals are encouraged to apply.
Early application is highly encouraged, as the applications will be processed upon reception. Please apply 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.