The TU Delft's Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), invites applications for a fully funded PhD position. This exciting project aims to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning models using cutting?'edge language technology.
The project involves collaboration with experts from TU Delft, focusing on enhancing the security of machine learning model sharing without compromising data integrity. You will join the Web Information Systems group (WIS), and will be supervised by Dr. Avishek Anand (WIS group) and Dr. Justin Dauwels (Signal Processing Systems group).
The research will span several phases, including analyzing the blind spots of language models, identifying challenges specific to the police context, and optimizing existing AI solutions for secure use within law enforcement.
Job requirements- A Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related fields.
- Strong knowledge of machine learning, language models, and security aspects of AI.
- Enthusiasm for research that makes a tangible impact on public safety.
- Excellent communication skills and the ability to work within an interdisciplinary team.
- You have a good command of written and spoken English, as you will be working in an international environment. Since you will be working with the Dutch police, it is an advantage if you also have a good command of the Dutch language.
Delft University of Technology is built on strong foundations. As creators of the world?'famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem?'solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact!Challenge. Change. Impact!
Faculty of Electrical Engineering, Mathematics and Computer ScienceThe Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future?'proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground?'breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1 000 employees and 4 000 students work and study in this innovative environment.
to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Conditions of employmentDoctoral candidates will be offered a 4?'year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.
Additional informationAs you will be working in the security domain, you must undergo a security screening executed by the Dutch government before starting this position. This screening will take on average 5 to 6 months and could be up to 9 months. A positive outcome of the screening is a prerequisite for the contract for this PhD position. At least an A?'screening is needed for this PhD position. Pending the screening result, a temporary employment contract as a researcher can be offered for up to 6 months, if requested by the candidate. This contract will be converted to a PhD contract upon a positive screening result.
Application procedure- CV
- Motivational letter
- Transcripts
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English?'taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.
Please note:
- You can apply online. We will not process applications sent by email and/or post.
- As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about .
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