PhD Candidate in Machine Learning: The University of Luxembourg is inviting applications for a full-time PhD Candidate position in the field of Machine Learning-based Code Analysis. The successful candidate will contribute to the MiCE (FNR-funded) project within the Serval research group, working under the supervision of Dr. Mike Papadakis. This opportunity offers a stimulating research environment, exciting infrastructures, and a competitive salary package.
Designation: PhD Candidate
Research Area: Machine Learning-based Code Analysis
Location: University of Luxembourg, Luxembourg
Eligibility/Qualification:
- Bachelor’s degree in Computer Science or related field
- Master’s degree in Informatics, Software Engineering, Computer Science, or Information Technology
- Strong background in software testing and Artificial Intelligence (Meta-heuristics, Machine Learning & NLP)
- Strong analytical skills
- Industry experience in information and communication technology (advantageous)
- Optional: Knowledge of machine learning, metaheuristics, statistics, and text analysis
- Fluent written and verbal communication skills in English
Job Description: The PhD candidate will work on the MiCE project, focusing on “Assessing and Improving ML-based Code Analysis techniques.” Tasks include forming learning-based code analysis techniques, developing generic embeddings, and conducting research activities leading to a PhD in Software Engineering. The candidate will collaborate with the Serval research group and contribute to project deliverables, milestones, and publications.
How to Apply: Interested individuals should submit their applications online, including:
- Curriculum Vitae
- Full CV with a list of publications
- Names and contact details of three referees
- Transcript of all modules and results from university-level courses
- Research statement and topics of interest (300 words)
All qualified candidates are encouraged to apply. Early application is recommended, and applications will only be processed through the official HR system. Applications sent via email will not be considered.
Last Date for Apply: December 29, 2023, 02:07 (UTC)
Disclaimer: This job post is sourced from an official announcement. Please verify details from the official website for additional information.
Contact Information:
- Company/Institute: University of Luxembourg
- Work Location: Halsbach 2, Luxembourg
- Website: University of Luxembourg Careers
- Email: christian.walter@uni.lu
