Stefano V. Albrecht is Associate Professor at Nanyang Technological University (NTU), Singapore, and a recipient of research fellowships from the Royal Society, the Royal Academy of Engineering, and the Alexander von Humboldt Foundation. His research has appeared in leading venues for artificial intelligence, machine learning, and robotics, including NeurIPS, ICML, ICLR, AAAI, IJCAI, UAI, AAMAS, AIJ, JAIR, JMLR, TMLR, ICRA, IROS, T-RO, RA-L. He has advised numerous Ph.D. students and is passionate about mentoring the next generation of AI researchers.

• Preface; 1. What is a Ph.D.?; 2. Finding the right Ph.D. position; 3. Start with the problem, not the method; 4. Designing experiments in AI; 5. Research integrity and reproducibility; 6. Responsible AI research; 7. Meetings and feedback; 8. Academic writing; 9. Using large language models in your Ph.D.; 10. Attending conferences and presenting your work; 11. The Ph.D. dissertation and defense; 12. Failure, feeling stuck, and moving forward; 13. Navigating the Ph.D.: lessons from Ph.D. students; 14. Industry internships; 15. Applying for faculty jobs; 16. Career paths beyond academia.