Job Description
This vacancy falls under the auspices of the JADE lab, which is the data/AI engineering and governance research UNIT of the Jheronimus Academy of Data Science (JADS), and DELOITTE.  In particular, this position is associated with  JADE’s ROBUST program on Auditing for Responsible AI Software System (SAFE-GUARD), which is financed under the NWO LTP funding scheme with Deloitte as the key industry partner. 

The overall objective of SAFE-GUARD is auditing of AI software, it may be further refined in the following more elaborated goal: "Explore, develop and validate novel auditing theories, tools, and methodologies that will be able to monitor and audit whether AI applications adhere in terms of fairness (no bias), explainability, and transparency (easy to explain), robustness and reliability (delivering same results under various execution environments), respect of privacy (respecting GDPR), and safety and security (with no vulnerabilities)."

The industrial setting of the deep involvement of Deloitte will balance the rigour with relevance and ascertain fit with societal requirements and trends, validation with industrial case studies.

Scientific Challenge
Application software developers cannot train-, test- and deploy AI models independent of socio-political, ethical, cultural, and personal context. At the same time, data is not objective: it is inherently reflective of pre-existing social and cultural biases, thus implying that AI (and AI-induced applications) may lead to (unintended) negative consequences and inequitable outcomes in practical settings. This project will develop novel methodologies, including techniques and tools, that can be exploited during audit activity when detecting AI software bias, possibly predicting those conditions and recommending ways to triage them. These aspects render important aspects when developing trustworthy AI software.

Job Requirements
Candidates should:
●    Have a MSc. in Mathematics, Statistics, Computer Science, Computer Engineering, AI or a related discipline;
●    Have a strong interest in data engineering and governance, machine-learning and deep-learning;
●    Have excellent programming skills and be highly motivated, be rigorous and disciplined when developing algorithms and software according to high quality standards;
●    Have good technical understanding of the statistical models used in data science and machine learning;
●    Have knowledge of, or a willingness to familiarize themselves with, current research into machine learning for software engineering trustworthiness evaluation;
●    Have a commitment to develop algorithms that analyze Big Data from software-defined infrastructures as well as AI application code;
●    Be a fast learner, autonomous and creative, show dedication and be hard working;
●    Possess good communication capabilities and be an efficient team worker;
●    Be fluent in English, both spoken and written.

Conditions of Employment
Being appointed at JADS provides a meaningful job in a dynamic and ambitious community of 2 universities and startups. 

As a PhD Student at JADS you will have a full-time employment for a total of four years, with an intermediate evaluation after nine months. You start with a contract of 18 months with an option to extend another 2,5 year. JADS offers excellent employment conditions with attention to flexibility and (personal) development and attractive fringe benefits. The gross monthly salary is based om UFO profile Promovenus and starts with a gross salary of EUR 2770, = per month, growing in 4 years to EUR3539,=. This is in accordance with the Collective Labor Agreement for Dutch Universities.

 
You are entitled to a vacation allowance of 8% and a year-end bonus of 8.3% of your gross annual income. If you work 40 hours per week, you will receive 41 paid days of leave per year. PhD Students from outside the Netherlands may qualify for a tax-free allowance of 30% of their taxable salary if they meet the relevant conditions. The university applies for this allowance on their behalf. JADS will provide assistance in finding suitable accommodation.

To develop your teaching skills, you will spend 10% of your employment on teaching tasks. To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students.

Next to that we offer all kinds of facilities and arrangements to maintain an optimal balance between work and private life. All employees of the university are covered by the so-called General Pension Fund for Public Employers (Stichting Pensioenfonds ABP).  

JADS values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students so that everyone feels at home in our university community. 

All researchers working in JADS have contracts at either Tilburg University or Eindhoven University of Technology. Please visit Working at Tilburg University and Working at Eindhoven University of Technology for more information on their respective employment conditions.