Job Information
- Organisation/Company
- Czech Technical University in Prague
- Research Field
- Technology » Instrumentation technologyTechnology » Measurement technology
- Researcher Profile
- Recognised Researcher (R2)Established Researcher (R3)Leading Researcher (R4)
- Country
- Czech Republic
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 40
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Reference Number
- #3-20
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Czech Technical University in Prague (CTU) now offers a new fellowship program, the CTU Global Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor. The fellowship aims at external international scientists who are currently conducting research abroad. Applicants must have completed their PhD within the last seven years. The fellowship aims at authors (co-authors) of three or more publications in a journal with IF.
The availability of low-power microcontrollers with embedded neural network accelerators enables the design of entirely new types of sensors that use intensive computational processing at the sensing point, so-called edge processing. The implementation of local processing using neural networks is advantageous in high-dimensional and nonlinear problems.
One example is solving the inverse problem in Electrical Resistance Tomography (ERT) directly at the sensing electrodes. Sensors using ERT help monitor flows and processes inside vessels and pipelines in the industry, enable the monitoring of structures' health, and allow specific imaging and diagnosis in medicine. Another group of applications is local-type recognition of complex signals using a large number of features. Another application area is local anomaly detection in monitored signals for machine condition monitoring and predictive maintenance.
The main focus of the research will be modeling and developing neural networks that can be implemented in constrained sensor hardware to address the above topics, constructing sensor prototypes, and evaluating performance in real-world applications. Collaboration with other lab members responsible for the frontend parts of the sensors is expected.
Requirements
- Research Field
- Engineering
- Education Level
- PhD or equivalent
We seek highly motivated applicants with a Ph.D. in embedded systems, electronic engineering, or related fields and a proven track record relevant to the topic, such as publications in top journals or conferences. The ideal candidate will have good skills in microcontroller-based embedded system design and neural networks-based machine learning.
Successful applicants will also have the opportunity to co-supervise graduate students.
Previous experience of working abroad, EU citizenship, or Schengen visa are advantages.
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Salary: 65 000 CZK
Applications will be assessed by a committee, based on documents sent by applicants. The mentor has a strong vote in the selection process.
To apply for the CTU Global Postdoc Fellowship you need the following documents in English:
- CV, including list of publications (max. 4 pages). At least three IF (Impact Factor. We follow the Web of Science Journal Citation Reports) journal publications are expected. Papers accepted for publication yet waiting to be printed do count if a proof of acceptance is provided.
- Motivation letter (max. 2 pages).
- PhD certificate (copy).
- A cover letter (See Application for CTU Global Postdoc Fellowship form)
- You may attach other documents supporting your application such as recommendation letters etc.
Mentor: Radislav Smid, Faculty of Electrical Engineering, smid@fel.cvut.cz, H-index (WOS) 7, ORCID 0000-0003-4314-8841
https://meas.fel.cvut.cz/smid/publications
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Czech Technical University in Prague / Faculty of Electrical Engineering
- Country
- Czech Republic
- City
- Prague
- Postal Code
- 166 27
- Street
- Technická 2
Where to apply
- drimakat@fel.cvut.cz
Contact
- State/Province
- Czech Republic
- City
- Prague
- Website
- Street
- Jugoslavskych partyzanu 1580/3
- Postal Code
- 16000
- drimakat@fel.cvut.cz