Fairness of AI Softeware systems

Fairness of AI Softeware systems

Published Deadline Location
15 Dec 29 Feb Tilburg
Short Description 

The next generation of enterprise applications is quickly becoming AI-enabled, providing novel functionalities with unprecedented levels of automation and intelligence. As we recover, reopen, and rebuild, it is time to rethink the importance of trust. At no time has it been more tested or valued in leaders and each other. Trust is the basis for connection. Trust is all-encompassing: physical, emotional, digital, financial, and ethical. A nice-to-have is now a must-have; a principle is now a catalyst; a value is now invaluable.

Are you an enthusiastic and ambitious researcher with a completed master's degree in a field related to machine learning (Computer science, AI, Data Science) or in Electrical Engineering with an affinity for AI and deep learning? Does the idea of working on real-world problems and with industry partners excite you? Are you passionate about using trustworthy AI methods for the next generation of auditing processes, which are increasingly AI-enabled and data-driven? And are you interested in delivering new tools to ascertain the fairness of the next generation of AI software?

We are recruiting a Ph.D. candidate who will develop and validate novel concepts, methods, and tools for monitoring, auditing, and fostering fairness of AI software systems and trial them with industrial partners who work with Deloitte.

Job description

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.

Specifications

Tilburg University

Requirements

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

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.

Additional information

More information 
Do you recognize yourself in this profile and would you like to know more? 

Please contact: 
●    Prof. Willem Jan Van Den Heuvel W.J.A.M.v.d.Heuvel@jads.nl
●    Prof. Damian A. Tamburri d.a.tamburri@tue.nl

 

For information about terms of employment, please contact Gaby Stevens-Walraven, HR Advisor, g.walraven@tilburguniversity.edu

Specifications

  • PhD
  • 22047

Employer

Location

Warandelaan 2, 5037 AB, Tilburg

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Application procedure

Application
We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include a:
●    Cover letter in which you describe your motivation and qualifications for the position.
●    Curriculum vitae, including a list of your publications and the contact information of three references.
●    Brief description of your MSc thesis and any potential scientific article you have published.
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

Application procedure

Application procedure

Application
We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include a:
●    Cover letter in which you describe your motivation and qualifications for the position.
●    Curriculum vitae, including a list of your publications and the contact information of three references.
●    Brief description of your MSc thesis and any potential scientific article you have published.
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

Make sure to apply no later than 29 Feb 2024 23:59 (Europe/Amsterdam).