Job opening: PhD position in automatic video subtitling

Positions are fully funded for four years.

The call is at this link, alongside instructions to apply. Please apply via that link by Feb 24 (extended!).

Emailing me: Don’t email me to apply: you must use the website or else I can’t consider you. Do email me with any specific questions — please include [PhD 11053] in the subject line so my filters can catch your email.

The most important part of your application is by far the motivation letter. Please read my advice for writing a motivation letter for me.

In general my research gravitates around structured prediction, latent variable models, sparsity, convex and constrained optimization, and geometry (machine learning on manifolds.) Importantly, You do not have to already be an expert in these ML topics. But if you have ML basics and you are enthusiastic to study one or more of these (or related) topics, together with me, in order to apply them in NLP research, do apply!

The flavor of my research is to integrate structured and discrete representations into the “soft” computation of neural networks. See this captured in my recent papers.

Answers to frequent questions:

Advising statement

It’s a good idea to be skeptical about working with an advisor who is early in their career. Talking to their other students is always good: I am currently advising Evgeniia Tokarchuk at UvA, and have co-advised Tsvetomila Mihaylova and Gonçalo M. Correia. You can also write to me with any questions.

The PhD is a job, and, at UvA, PhD students are employees, with the workers’ rights that stem from this. I believe your PhD is not your entire life and identity. I encourage and try to actively demonstrate work-life balance, awareness and support of mental health struggles, inclusivity, openness and safety. The PhD is the time to learn how to learn, ask, answer, describe, and teach. I will help and mentor you through it, according to my ability and your requested level.