PhD: Machine learning methods for source code representation and analysis

SAP (Fribourg, Schweiz) Vor 20 Tagen veröffentlicht

Requisition ID: 253915
Work Area: Information Technology
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Limited Full Time


SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.


Maintaining security is a constantly shifting task, and we need to respond with continuous learning and research.  SAP’s vision to secure business is built on 3 ideals: Zero-Vulnerability, to harden the software by eliminating vulnerabilities, Defensible Application, to enable the software to identify and prevent attacks, and Zero-Knowledge, to make any theft of data useless through encryption.

SAP Security Research pursues this vision by investigating topics such as Anonymization for Big Data, Secure Internet of Things, Software security analysis, Open-source analysis, Deceptive application, Applied cryptography, Quantum technology, and Machine Learning as enabler for the next generation of security.


The successful candidate will join a team of researchers at SAP Security Research (SAP Labs France, in Sophia-Antipolis), and his/her research will be carried out in the context of EU-funded project AssureMOSS, of which SAP is the technical leader. The scientific supervision of the candidate will be ensured by a professor from a partner academic institution.

The goal of this project is to investigate novel ways to automate the analysis of source code, especially originating from open-source repositories, to determine code changes that are security-relevant, because they introduce a vulnerability or because they provide a fix to a vulnerability. The research will be based upon data collected from open-source software repositories using dedicated mining techniques and will apply and extend cutting-edge research results from different areas of machine-learning (distributed representations, deep neural networks, transfer learning and others). 


The successful candidate is expected:

  • To participate in the AssureMOSS research project in close collaboration with academic and industrial partners in the investigation of novel techniques to represent and analyze source code;
  • To formulate novel methods and to realize proof-of-concept implementations;
  • To design and conduct rigorous experiments to evaluate those methods;
  • To disseminate research results in the scientific community (via international conferences and journals) and in the industrial community (e.g., at SAP events involving internal stakeholders, partners, customers).


  • A master’s degree in Computer Science, Informatics, Electrical Engineering, Mathematics, Physics or other scientific disciplines
  • Solid foundations in Computer Science and hands-on programming experience
  • Strong interest in Machine Learning and its applications to Software Engineering and Software Security
  • Knowledge in one or more of the following topics is a plus: program analysis, compilers, natural language processing (NLP)
  • Rigorous mindset, willing to conduct solid research and to apply it to real-world, industry-relevant problems
  • Fluency in spoken and written English


Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now .

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas:  or , APJ: , EMEA: ).

Successful candidates might be required to undergo a background verification with an external vendor.

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Vor 20 Tagen veröffentlicht von SAP - View Original

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PhD: Machine learning methods for source code representation and analysis

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