PhD Student in Programming Languages and Software Engineering

«A place where knowledge is created» - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 8500 students and is one of the largest employers in the region, providing around 3100 employees with an attractive and innovative environment for research.

The Programming Group at the Institute of Computer Science at the University of St. Gallen is seeking a candidate for a position as PhD student, per September 1st, 2020 or by mutual agreement.

PhD Student in Programming Languages and Software Engineering

The position provides an excellent opportunity to conduct research on topics at the intersection of software engineering, programming language design and implementation, and distributed systems such as:

• Design of new programming languages, runtimes, and type systems
• Code analysis and empirical studies on software development
• Consistency and fault tolerance in distributed systems
• Software engineering for artificial intelligence
• Languages and middleware for distributed event processing and realtime analytics
• Language-based software security 

The projects entail work on theory and on implementation with the weight of each aspect adjusted according to the candidate's profile and research interests. Prerequisites:

• University degree in computer science or mathematics, or a comparable subject
• The ideal candidate has a Programming Language, Software Engineering or Distributed Systems background. Depending on the specific target project, candidates with a Security background are also welcome
• Good communication skills in spoken and written English
• Strong skills in high-level object-oriented programming languages and ability to work independently in programming non-trivial systems

Important personal competencies and interests:

• You look for a young, dynamic, and diverse working environment and want to bring in your creativity for the benefits of the team and all its members
• You are interested in working with complex topics
• You are motivated by both personal and team accomplishments
• You enjoy lifelong learning and you have a keen interest to learn new technologies
• You enjoy working in a research environment 

Candidates should submit their application, including cover letter, curriculum vitae, academic record, and references, in electronic form to Prof. Dr. Guido Salvaneschi (guido.salvaneschi@unisg.ch).