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Position: PhD in Software Testing/Machine Learning
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: Conducting literature surveys and establishing state-of-the-art; Developing necessary experimental and simulation facilities where required; Planning, executing, and analysing 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
Requirements: Bachelor in Computer Science or related; A master’s degree in Computer Science or Software Engineering; Strong programming and analytical skills (e.g. C, Java and Python); Background in Machine Learning is considered as an advantage; Commitment, team working, a critical mind, and motivation are important characteristics of successful candidates; Expertise in at least one of these topics: Software Engineering, Agile methods, Artificial Intelligence, text analysis, clustering; Fluent written and verbal communication skills in English are mandatory; Fluent written and verbal communication skills in French are considered as an advantage
   
Text: UOL03714 31-Dec-2099 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 As Agile software development methodologies are getting mature and mainstream it becomes important to understand the implications they introduce on organisations and individuals. Thus, it is vital to assess and improve the scope, effectiveness and applicability of these techniques. The project involves work with practitioners in their working place with the aim of gaining insights, identifying problems and designing solutions. The PhD thesis will be done in collaboration with an Industrial partner and will involve the use of agile methodologies, machine learning and automation of software engineering tasks. The successful PhD candidate will extensively explore the DevOps practice and will develop techniques that include the feasibility, practicality and success evaluation of prototype implementations. The team you will be working with: Yves Le Traon ,Co-Advisor Mike Papadakis ,Co-advisor Role in more detail: Under the direction of a PhD Supervisor, you will carry out research activities and write a thesis, the main goal being to obtain a PhD in the area of Automated Software Engineering Conducting literature surveys and establishing state-of-the-art Developing necessary experimental and simulation facilities where required Planning, executing, and analysing 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 Bachelor in Computer Science or related A master’s degree in Computer Science or Software Engineering Strong programming and analytical skills (e.g. C, Java and Python) Background in Machine Learning is considered as an advantage Commitment, team working, a critical mind, and motivation are important characteristics of successful candidates Expertise in at least one of these topics: Software Engineering, Agile methods, Artificial Intelligence, text analysis, clustering Fluent written and verbal communication skills in English are mandatory Fluent written and verbal communication skills in French are considered as an advantage 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. In Short Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Job Reference: UOL03714 Further Information Applications should be submitted online and include: Curriculum Vitae Cover letter Transcript of all courses and results from the highest university-level courses taken A short description of your Master’s work (max 1 page) If possible, contact information for 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 The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character . It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. It`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. Further information For any further technical question please contact michail.papadakis@uni.lu or yves.letraon@uni.lu
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