BEMÆRK: Ansøgningsfristen er overskredet
Do you want to advance state-of-the-art privacy-preserving machine learning algorithms?
We are looking for two PhD students, who are creative and enthusiastic for advancing machine learning research.
Our lab focuses on improving and developing methods in privacy-preserving machine learning, which aims at facilitating data analyses without sacrificing privacy. Our research program has three main objectives: to improve the trade-offs between privacy and accuracy; to advance differentially-private synthetic data generation techniques; and to study the interplay between differential privacy and other emerging characteristics such as interpretability, fairness and causality.
Responsibilities and qualifications
Our work is relevant to all the application domains were accessing and analysing privacy-sensitive data is a must. The technological solutions that we are working toward will help reduce the sensitivity of algorithms to sparse data points, facilitate the sharing of data between different and within organisations and improve systems used for human decision-making support through a focus on fairness, causality and interpretability.
Applicants should have prior research experience in a quantitative discipline (eg. engineering, computer science, statistics, mathematics, and physics).
Preferred qualifications include a high level of expertise in math and statistics, familiarity with Bayesian statistics, as well as experience with programming in Python and some deep learning tools like PyTorch.
Depending on interests and qualifications of the applicant, the project can either be theoretical, applied, or a combination thereof. We generally believe that theory and applications must go hand in hand to ensure that the theory is meaningful and beneficial to scientific discovery.
You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
.
Assessment
The assessment of the candidates will be made by Professor Mi Jung Park (mjupa@dtu.dk).
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. Starting date is 1 March 2024 or according to mutual agreement.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Further information may be obtained from https://parklabml.github.io/positions.html
You can read more about DTU Compute and Section for Cognitive Systems here
.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar
” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 31 January 2024 (23:59 Danisk time)
. Applications must be submitted as one PDF file
containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file
. The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
- 1-2 page research statement
- Names and contact details of 2-3 references
You may apply prior to obtaining your master's degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
DTU Compute
DTU Compute er et unikt og internationalt anerkendt akademisk institut med 385 ansatte og 11 forskningssektioner, der spænder over videnskabsdisciplinerne matematik, statistik, datalogi og ingeniørvidenskab. Vi udfører forskning, undervisning og innovation af høj international standard - der producerer ny viden og teknologibaserede løsninger til samfundets udfordringer. Vi har en mangeårig involvering i anvendt og tværfaglig forskning, big data og datavidenskab, kunstig intelligens (AI), internet of things (IoT), smarte og sikre samfund, smart fremstilling og life science. På DTU Compute tror vi på en mangfoldig arbejdsplads med en fleksibel work-life balance.
The Section for Cognitive Systems is an internationally renowned group for machine learning research. The group aims for the highest quality research. You're encouraged to collaborate both within the group and with other international groups. We emphasize a healthy work/life balance based on the premise that you do the best work when you are happy.
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Lyngby-Taarbæk Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Danmarks Tekniske Universitet, Anker Engelunds Vej, 2800 Kongens Lyngby
-Ansøgning:
Ansøgningsfrist: 31-01-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5965642
