you can phisically find me (most of the times) at
School of Informatics, University of Edinburgh
3.18A Informatics Forum
10 Crichton Street Newington
Edinburgh EH8 9AB, UK
3.18A Informatics Forum
10 Crichton Street Newington
Edinburgh EH8 9AB, UK
!!!
I have fully-funded PhD and postdoc positions on efficient and reliable deep probabilistic reasoning.
More details 👉here👈. Reach out for me if you want to chat about doing research in Edinburgh!
More details 👉here👈. Reach out for me if you want to chat about doing research in Edinburgh!
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 subject the
position you are looking for: `[Postdoc]`, `[PhD]`, `[Master]` or `[Internship]`.
But before doing that, please have a look at my
current research interests
and recent
publications.
Postdoc positions
I have a postdoc position (up to 3 years) on automating
efficient and reliable probabilistic reasoning and modeling that
will open up soon. Reach out by email!
PhD positions
I have 👉open, fully-funded PhD positions👈.
👉See 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. Why: 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:
Where: 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 in Europe (see here ). IANC 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.
When: The starting date of the PhD will be from Oct 1st 2023 onwards.
Requirements: 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.
Funding: 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
👉See here full post and how to apply👈
Other ways to apply: Fill the form here after selecting a PhD within the IANC (PhD Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology) and 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.
👉See 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. Why: 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:
modular
probabilistic inference with guarantees, tractable neuro-symbolic
AI, designing the next-gen probabilistic programming languages,
tractable causal inference
Where: 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 in Europe (see here ). IANC 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.
When: The starting date of the PhD will be from Oct 1st 2023 onwards.
Requirements: 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.
Funding: 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
👉See here full post and how to apply👈
Other ways to apply: Fill the form here after selecting a PhD within the IANC (PhD Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology) and 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.
Other opportunities
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
(CDTs) in
- Natural Language
Procesing topics: reliable and efficient reasoning for KGs, perceptual grounding, multi-modal data
- Robotics and
Autonomous Systemstopics: probabilistic reasoning in the wild, probabilistic percetual grounding and abstraction
- BioMedical
AI
topics: tractable models for complex structures such as molecules and reactions
Master thesis
For prospective Masters students, please see the
School's Masters
by Research (MScR) page for details about the application.
Contact me by email before applying!
Internships
I do not have currently funds for internships, plus COVID19 and
its variants make it hard to see when you could visit the School
of Informatics.
For remote internship opportunities contact me by email.
For remote internship opportunities contact me by email.