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Open PhD position "Deep learning based variable selection with automated feature design and uncertainty estimation"
vor 2 Monaten
INSTITUTE OF SIGNAL PROCESSING
AND SYSTEM THEORY
Prof. Dr.-Ing. Bin Yang
Open PhD position
"Deep learning based variable selection with automated feature design and uncertainty estimation"
Start: now
Area
Recently, intelligent machine learning methods, in particular deep learning methods, are becoming increasingly important for semiconductor test. The Graduate School Intelligent Methods for Test and Reliability (GS-IMTR) at University Stuttgart, in cooperation with the world-leading company Advantest in semiconductor test, studies topics such as design for test and diagnosis, post silicon validation, test generation and optimization, robust device tuning, system-level test, lifetime test, and test automation.
Topic
This open PhD position is located in Phase 2 of GS-IMTR. It will continue the successful project "Deep learning based variable selection for post silicon validation" in Phase 1 of GS-IMTR (see arXiv: for a first idea). The main goal is to extend the previous study in two directions: a) generate importance scores for input variables with uncertainty information as reliability measure, b) in addition to variable selection, search on relevant analytic expressions of input variables for a certain downstream task via combinatorial optimization or reinforcement learning. It is a topic involving deep learning and integer optimization.
Requirements:
- High interest on this topic
- High–performance Master degree in related areas (e.g. EE, CS, Math, ..)
- Solid knowledge in deep learning and experience in Pytorch/Tensorflow
- Solid knowledge in optimization
- Interest on semiconductor test and on teamwork
In case of interest, please contact Prof. Bin Yang ) by sending complete CV and transcripts of Bachelor and Master.
The University of Stuttgart is an equal opportunity employer and actively promotes the diversity of its employees. We strive to hire more female scientists and more academics with an international background. Severely challenged persons will be given preference in case of equal qualifications. The University of Stuttgart has been awarded "family-friendly employer". Flexible working hours, regular childcare services, and family-networks allow for a better combination of professional and family life. The University of Stuttgart also offers a range of services to enhance social equity (
uni-). Additionally, a dual career program is in place to assist partners of those moving to Stuttgart:
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