9 PhD Positions: The CRYSTALLINE program, hosted at Silicon Austria Labs (SAL), is offering 9 PhD positions in Electronic-Based Systems (EBS) research. Co-funded by the MSCA-COFUND action, this program aims to train early-stage researchers (ESRs) as future leaders in EBS research, fostering scientific excellence and brain gain by attracting international talents. The first call for applications is now open until 29 March 2024.
9 PhD Positions in Electronic-Based Systems Research – CRYSTALLINE
Summary Table:
| Research Areas | Number of Positions | Duration | Application Deadline |
|---|---|---|---|
| Embedded Systems | 9 | 48 months | 29 March 2024 |
| Intelligent Wireless Systems | |||
| Microsystems | |||
| Sensor Systems | |||
| Power Electronics |
Study Area: Electronic-Based Systems Research
Scholarship Description: The CRYSTALLINE program at SAL focuses on five main research areas aligned with SAL’s research foci:
- Embedded Systems: Addressing trends in intelligent, distributed, energy-efficient EBSs, with a focus on AI in embedded computing and secure computation engineering.
- Intelligent Wireless Systems: Researching wireless communication and radar technologies, including analog and mixed-signal circuits for high bandwidth and data rate communications.
- Microsystems: Developing state-of-the-art technologies for MEMS and MEMS devices, including piezoelectric MEMS, thin films, integrated photonics, and advanced microfabrication.
- Sensor Systems: Developing new sensor modalities, integrating smart sensor systems for various applications, and utilizing intelligent algorithms for sensor optimization.
- Power Electronics: Aiming at new and powerful solutions for electric energy converters across all power classes, from system and control design to integration methods.
The program spans fundamental research to market-ready levels, providing ESRs with a unique perspective on academic research excellence and industry demands.
Eligibility: Prospective candidates must hold a two-year master’s degree (120 ECTS points) or an equivalent academic level. They should possess creativity, enthusiasm, excellent collaboration skills, and a passion for computational modeling in life science data. Prior experience in chemometrics, physics, machine learning, or related areas is desired.
Required Documents: Applicants must submit the following documents as one PDF file:
- A letter of motivation (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) with an official description of the grading scale
Applicants can apply before obtaining their master’s degree but cannot begin before receiving it.
How to Apply: To apply, complete the online application form by clicking the “Apply now” link on the official website. Ensure all materials are submitted in English in a single PDF file.
Last Date for Apply: 29 March 2024
Contact: For further information, contact Professor Line Clemmensen at lkhc@dtu.dk.
Note: Applications received after the deadline will not be considered.
