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Best PhD Thesis Award

Launched in 2020, the Sensors Best PhD Thesis Award recognizes young scholars for producing outstanding PhD theses in the field of sensors and encourages the continuation of their outstanding work and further contribution to their field. The application process for this award is open from November to May every year and winners are announced in July.

The Prize:
– CHF 1000;
– A certificate;
– A voucher to waive the Article Processing Charges (APCs) for one submission in the journal (subject to peer review)—valid for one year.

Number of Winners: 1

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Sensors Best PhD Thesis Award

Application deadline: 31 May 2026Winner announcement date: 31 July 2026

Eligibility and Requirements

– The candidate must be a PhD student or recently qualified PhD who has produced an outstanding PhD thesis;
– The PhD thesis must be their original work;
– The PhD thesis must be defended in 2025.

List of Documents for Application

– An executive summary of the PhD thesis in English of around 3000 words;
– A letter from the PhD supervisor recommending the candidate for consideration for this award;
– The candidate’s CV, including a list of publications connected with the thesis;
– An electronic copy of the PhD thesis;
– A scanned copy of the PhD diploma (or certificate of studying at a school or research institute as a PhD student going to graduate or participate in graduation thesis defenses

Past Winners

Winner
  • XZXianghao Zhan
    Xianghao Zhan
    Stanford University
Award Committee
  • Vittorio Passaro avatar imageVittorio Passaro
    Vittorio Passaro
    Chairman
    Politecnico di Bari
  • Alessandro Pozzebon avatar imageAlessandro Pozzebon
    Alessandro Pozzebon
    University of Padua
  • Petros S. Bithas avatar imagePetros S. Bithas
    Petros S. Bithas
    Digital IndustryTechnologies Department, National and Kapodistrian University of Athens
  • Peter Chong avatar imagePeter Chong
    Peter Chong
    Auckland University of Technology
  • Nan Jiang avatar imageNan Jiang
    Nan Jiang
    Sichuan University
  • Kai Wu avatar imageKai Wu
    Kai Wu
    Texas Tech University

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Sensors - ISSN 1424-8220