Contributed by: Cristian R. Rojas, crro@kth.se
PhD position: Automatic Control with Focus on Machine Learning
We seek a Doctoral student for an interdisciplinary collaborative project, funded by the Strategic Research Environments ICT-TNG and Digital Futures, which involves KTH, RISE and Stockholm University. The project involves the development of novel machine learning methods, based in particular on tools from linear and nonlinear control theory, Markov decision processes and inverse reinforcement learning, to provide interpretable diagnosis and recommendations of treatments for patients, based on healthcare data. The doctoral studies will include the analysis and design of algorithms, and potentially their use on actual healthcare data.
What we offer:
- The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.
- A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
- A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
- Work and study in Stockholm, close to nature and the water.
- Help to relocate and be settled in Sweden and at KTH.
Eligibility: The applicant must have basic eligibility in accordance with either of the following:
- passed a degree at advanced level,
- completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or in any other way acquired within or outside the country acquired essentially equivalent knowledge.
- Requirements for English equivalent to English B/6, read more here.
- The successful applicant is expected have received a degree at advanced level, within the last two years, in Electrical Engineering, Engineering Physics, Mathematics or equivalent, with a strong mathematical background.
Having a specialization in Automatic Control or Signal Processing is preferable. Applicants should have an outstanding academic track record, and well developed analytical and problem solving skills, as well as solid mathematical and programming skills. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and in writing is required to publish and present results at international conferences and in international journals.
Applications must include the following elements (as a single PDF file):
- CV including your relevant professional experience and knowledge.
- Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
- Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.
- Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
For more information, and how to apply through the KTH recruitment system, please see:
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:380972/where:4/
