How to Get Your PhD

A Handbook for the Journey
1. Auflage 2021
ISBN: 978-0-19-886692-3
Verlag: Oxford University Press

Buch, Englisch, 272 Seiten, Format (B × H): 132 mm x 194 mm, Gewicht: 314 g

A unique take on how to survive and thrive in the process your PhD, this is a book that stands out from the crowd of traditional PhD guides. Compiled by a leading UK researcher, and written in a highly personal one-to-one manner, How to Get Your PhD showcases the thoughts of diverse and distinguished minds hailing from the UK, EU, and beyond, spanning both academia and industry. With over 150 bitesize nuggets of actionable advice, it offers more detailed contributions covering topics such as career planning, professional development, diversity and inclusion in science, and the nature of risk in research.

How to Get Your PhD: A Handbook for the Journey is as readable for people considering a PhD as it is for those in the middle of one: aiming to clarify the highs and lows that come when training in the profession of research, while providing tips & tricks for the journey. This concise yet complete guide allows students to “dip in” and read just what they need, rather than adding to the mountain of reading material they already have.

Autoren/Hrsg.

Brown, Gavin

Fachgebiete

• Geisteswissenschaften Philosophie Philosophie der Mathematik, Philosophie der Physik
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Populärwissenschaftliche Werke
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Wissenschaftspolitik, Wissenschaftsförderung
• Mathematik | Informatik Mathematik Mathematik Allgemein Philosophie der Mathematik
• Geisteswissenschaften Philosophie Wissenschaftstheorie, Wissenschaftsphilosophie

Über Autor(innen)

Gavin Brown is Professor of Machine Learning, and Director of Research for the Department of Computer Science, at the University of Manchester, UK. He obtained his PhD in 2004 from the University of Birmingham, winning the British Computer Society Distinguished Dissertation Award, given annually for the most outstanding UK thesis in Computer Science. In 2005 he joined Manchester, and since then has built a team working on Machine Learning and Data Science, contributing both fundamental and applied research, funded by the UK and EU government as well as industry sponsors