If you would like to work with me at any levels, the fastest way is
to reach out for me by email, specifying in the
position you are looking for: `[Postdoc]`, `[PhD]`, `[Master]` or `[Internship]`.
But before doing that, please have a look at my
I have 👉open, fully-funded PhD positions
here full post and how to apply
I am looking for students that are highly unsatisfied by the
current landscape of probabilistic models and reasoning in #AI and
#ML, troublemakers who would like to go deep in a research
topic. Preferred backgrounds include: mathematics, computer
science, physics and engineering.
There is a desperate need in ML nowadays for
ensuring that systems we deploy are reliable and behave according
to our expectations. Equally important, we want methodologies for
learning new systems that can be provably reliable it by
design. PhD candidates will research the methodological
foundations for a new generation of probabilistic models that come
with guarantees while being efficient. As such, this research will
be at the intersection of modern automated reasoning, deep
probabilistic learning and generative modeling. These positions
come with exceptional freedom in terms of research topics and are
not tied to any specific project.
Possible research topics include:
probabilistic inference with guarantees, tractable neuro-symbolic
AI, designing the next-gen probabilistic programming languages,
tractable causal inference
The School of Informatics at the University
of Edinburgh is the largest research center in Informatics in
Europe and consistently ranked among the top 6 Universities in AI
is a world-leading institute dedicated to the theoretical and
empirical study of intelligent and adaptive processes in both
artificial and biological systems. We are one of the UK’s largest
and most prestigious academic teams in probabilistic ML.
The starting date of the PhD will be from Oct 1st 2023 onwards.
International candidates must hold an equivalent of a UK 2:1 honours degree or higher in Computer Science, Mathematics, Physics or Engineering. They shall have a strong background in discrete and continuous math, statistics probability and programming, as demonstrated by grades in relevant courses or by previously taken projects and internships.
This is a call for fully-funded PhD
positions for international and UK students, lasting 3.5
years. Funds cover of all tuition fees, including overseas fees if
applicable. Students will be given a standard UK stipend plus
funds for traveling. E.g., see here
here full post and how to apply
Other ways to apply:
Fill the form here
selecting a PhD within the IANC (PhD Informatics: ANC: Machine
Learning, Computational Neuroscience, Computational Biology)
specifying me as supervisor. You will be required to
upload the following documents:
an updated cv; a short cover letter (max 1 page); a research
statement (max 2 pages) detailing your research interests and how
they overlap with the topics of this call and my research interests. Please list and
elaborate on previous research experience; transcripts from
bachelor and/or master studies; 2 reference letters.
Then, please send me an email and specifying ``[PHD-ERPROB]'' in the subject to confirm your application.
Applications will be evaluated every two weeks as they arrive, until all positions are filled.
In addition to these two positions, if you want to work with me you can
apply (calls will be opened in October) to the Centres for Doctoral Training
and specify me as an advisor in the relative application form (or discuss a
project together as required by the Robotics CDT).
You can find further information about the application process, the PhD
program duration and funding available in the above links.
There are also parallel studentships available for strong candidates
I do not have currently funds for internships, plus COVID19 and
its variants make it hard to see when you could visit the School
For remote internship opportunities contact me by email.