PREpare Overseas
Dec 5, 2023
Application Deadline - Dec 29, 2023
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.
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
The successful candidate will join the Serval research group by working on the MiCE (FNR-funded) project. The subject of the thesis will be "Assessing and Improving ML-based Code Analysis techniques" with supervisor Dr. Mike Papadakis. Successful PhD candidates will extensively explore and develop software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations.
The team you will be working with Mike Papadakis.
The position holder will be required to perform the following tasks/will do research on the following topics:
Forming learning-based code analysis techniques combining pre-trained models and user defined features.
Forming generic embeddings, combining both static and dynamic features, that can improve the performance of learning-based code analysis techniques.
PhD Student Role: Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications.
Your Profile
Qualification:
Bachelor in Computer Science or related.
Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology.
Strong background in software testing and Artificial Intelligence (e.g., Meta-heuristics, Machine Learning & NLP)
Strong analytical skills.
Industry experience in information and communication technology will be considered as an advantage.
Commitment, team working, a critical mind, and motivation are skills that are more than welcome.
Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis.
Language Skills: Fluent written and verbal communication skills in English are required.
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 55 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, meal vouchers and health insurance
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
Boost your career. Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities
How to apply
Applications should be submitted online and include:
Curriculum Vitae
Full CV, including list of publications
The name (and email address, contact details) of three referees
Transcript of all modules and results from university-level courses taken
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.
Contact
For Application kindly follow the below link: