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Best PhD Thesis Award

Launched in 2022, the Machines Best PhD Thesis Award recognizes young scholars for producing outstanding PhD theses in the field of machinery and engineering, 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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Machines 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 a 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
  • YGYunfa Guo
    Yunfa Guo
    National University of Singapore, Singapore
Award Committee
  • Antonio J. Marques Cardoso avatar imageAntonio J. Marques Cardoso
    Antonio J. Marques Cardoso
    Chairman
    CISE | University of Beira Interior (UBI)
  • Panagiotis Kyratsis avatar imagePanagiotis Kyratsis
    Panagiotis Kyratsis
    University of Western Macedonia
  • Stefano Mariani avatar imageStefano Mariani
    Stefano Mariani
    Politecnico di Milano
  • Konstantinos Kyprianidis avatar imageKonstantinos Kyprianidis
    Konstantinos Kyprianidis
    Malardalen University

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Machines - ISSN 2075-1702