Doctoral Researcher in Distributed AI: Tampere University’s Faculty of Information Technology and Communication Sciences seeks a Doctoral Researcher for a transnational research project focused on enhancing GNSS receiver security using AI and machine learning techniques. Join the Signal Processing for Wireless Positioning research group in Tampere, Finland, and contribute to cutting-edge advancements in satellite-based positioning.
Designation: Doctoral Researcher (Väitöskirjatutkija)
Research Area: Distributed AI for Enhanced Security in Global Navigation Satellite Systems (GNSS)
Location: Tampere University, Finland
Eligibility/Qualification:
- Hold a master’s degree in a relevant field (e.g., electrical engineering, aerospace engineering) at the time of application.
- Apply for and be granted a study right for a doctoral degree at Tampere University.
- Strong skills in Matlab or Python programming; willingness to expand Matlab skills.
- Prior knowledge of GNSS or digital signal processing is essential.
- Additional knowledge in wireless communications and machine learning is desirable.
- Ability to work independently and in a team, strong work ethic, and interest in a research career.
- Certificate of English language proficiency or other means to prove proficiency.
Job Description:
- Participate in a transnational research project on wireless satellite positioning.
- Enroll as a PhD student at Tampere University.
- Focus on enhancing GNSS receiver security and robustness through AI and machine learning.
- Collaborate on threat localization and collaborative positioning methods.
- Two-month secondment to the US partner, requiring travel.
How to Apply:
- Submit your application through the online recruitment system by February 28, 2024, at 23:59 EET (UTC+2).
- All documents, including the cover letter, CV, and diplomas, should be combined into one PDF file named LastnameFirstname.pdf.
- Use Times New Roman 12pt font or a similar easy-to-read font.
- Provide a cover letter detailing your motivation, research questions, and suitability for the position.
- Attach CV, diplomas, language proficiency certificate, and other relevant documents.
Last Date for Apply:
- Application deadline: February 28, 2024, at 23:59 EET (UTC+2)
Offer:
- Position filled for two years, with a trial period of six months.
- Desired start date: April 2024 (mutually agreed).
- Competitive salary based on job requirements and personal performance.
- Opportunity to join a dynamic international community.
- Benefits include flexible work schedule, teleworking facilities, occupational healthcare, and more.
More Information: Contact Professor Elena Simona Lohan at elena-simona.lohan@tuni.fi
Note: For detailed information on the position, eligibility, and application instructions, refer to the English version of the announcement. The application deadline is extended to February 28, 2024, at 23:59 EET.
