PhD in Software Testing with Machine Learning

University of Luxembourg

Esch-sur-Alzette, Luxembourg

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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

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

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