Connectionists: ML Lecturer/Reader (Asst/Assoc Prof), Informatics, U Edinburgh, 10 Jan deadline

[Chris Williams]

Dear all,

We welcome applications to the following machine learning faculty position:

https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/5911/

Deadline: 10 January 2023, 5pm UTC

Applications are invited for an academic position in machine learning
in the School of Informatics at the University of Edinburgh, as part
of a continuing expansion in Machine Learning and Artificial
Intelligence. The appointment will be full-time and open-ended.

The successful candidate will have (or be near to completing) a PhD,
an established research agenda and the enthusiasm and ability to
undertake original research, and to lead a research group. They will
show excellent teaching capability and engagement with academic
supervision. We are seeking current and future leaders in the field.

We seek candidates with research interests in the development of
cutting-edge machine learning methods. Candidates will have a research
interests in principled approaches to machine learning, machine
learning for novel or critical applications, and/or the development of
novel methods of wide applicability and with state-of-the-art
capability.

The Machine Learning group carries out research on principled models,
algorithms and applications of machine learning. The University of
Edinburgh is one of the five founding partners of the UK's Alan Turing
Institute for Data Science and Artificial Intelligence; this gives
rise to opportunities to interact with PhD students, research fellows
and senior researchers within the Alan Turing Institute. In addition, the
University is an active Unit in the European Laboratory for Learning
and Intelligent Systems (ELLIS); these units are recognized centres of
excellence in AI research across Europe. There are also ample
opportunities within the University to enact collaborative activities
with researchers in other areas of computer science, mathematics and
statistics, and across the physical, social and biomedical
sciences. Diversity and ethical issues in the machine learning domain
are also of particular interest.

The candidate's research focus might involve, for example (in no
particular order and not exclusively):
* theoretical foundations of learning representations
* efficiency of methods and models, and data efficiency
* transfer and small-data learning
* generative deep learning, unsupervised deep learning and stochastic optimisation
* scalable Bayesian methods
* biological and biomedical applications
* fairness and ethical application of ML
* energy, climate and sustainability applications
* finance, risk and decision-making

Candidates should have a strong technical track record and be
interested and able to teach undergraduate and master's level courses
in areas such as AI, machine learning, deep learning and neural
networks.

Applicants must provide a recent CV, a research statement, and a
teaching statement, which should specify the candidate's experience
and approach to teaching, and what specialty and introductory
(particularly undergraduate Informatics) courses they would be
qualified to teach.  We recognise that the pandemic may have affected
some applicants disproportionately, and aim to take this into account
in the selection process. Applicants can optionally include a short
statement regarding how their work has been disrupted by Covid, and
how this affects their recent track record. This statement should be
part of the cover letter and shouldn't be more than a paragraph in
length. Full details about the application procedure will be available
soon through the University of Edinburgh jobs website
www.ed.ac.uk/human-resources/jobs with vacancy reference 5911.

The School of Informatics was ranked #1 in the UK for research power
in Computer Science and Informatics Times Higher Education ranking,
based on the 2021 Research Excellence Framework (REF). We are one of the
top ten institutions in Europe for AI according to the CSRankings
website csrankings.org, and the highest-ranked UK institution.

Lecturer: UE08 - ??43,414 - ??51,805
Reader: UE09 - ??54,949 - ??61,823

Informal enquiries may be addressed to Prof Chris Williams
(ckiw at inf.ed.ac.uk) or Prof Amos Storkey (a.storkey at ed.ac.uk). 
Dr Antonio Vergari (avergari at exseed.ed.ac.uk) will be attending the
NeurIPS conference and is available for informal meetings there.


-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.