Phd Candidate in Machine Learning-based Code
Il y a 5 mois
**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.
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 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.
**Your Profile** Qualification**:
- Bachelor in Computer Science or related.
- 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
But wait, there’s more
- Complete picture of the perks we offer
- Discover our Partnership Programme
**In Short**
- Contract Type: Befristeter Vertrag 36 Monat (extendable up to 48 months if required)
- Work Hours: Full Time 40.0 Stunden pro Woche
- Location: Kirchberg
- Employee and student status
- Job Reference: UOL06109
The yearly gross salary for every PhD at the UL is EUR 40952 full time
**How to apply**
Applications should be submitted online and include:
- Curriculum Vitae
- Full CV, including list of publications
- Transcript of all modules and results from university-level courses taken
All qualified individuals are encouraged to apply.
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.
**Further information**
Job Reference: UOL06109
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