Imperial College London, Department of Mathematics

Position ID: 434-LSL1 [#19418]
Position Title: Lecturer/Senior Lecturer (Assistant/Associate Professor) Positions in Artificial Intelligence/Machine Learning/Data Science/Digital Technologies
Position Location: London, London, United Kingdom [map] sort by distance
Subject Area: Mathematics
Application Deadline: 2022/01/17 11:59PMhelp popup finished (2022/01/14, finished 2022/07/23, listed until 2022/07/14)
Position Description:    

*** this position has been closed. ***

Lecturer/Senior Lecturer (Assistant/Associate Professor) Positions in Artificial Intelligence/Machine Learning/Data Science/Digital Technologies Imperial College London - United Kingdom Attractive salary, benefits and start-up package

With first deadline on the 17th of January and final deadline on the 28th of February, Imperial College London invites applications for up to 13 full-time permanent faculty member positions at the Lecturer (Assistant Professor) level, who will contribute to research, teaching and service at the College's Imperial-X (I-X) initiative. Qualified candidates may also be appointed at the Senior Lecturer (Associate Professor) level. Of these posts 4 will be part of the Mathematics department. The faculty positions will be part of the College's flagship I-X initiative, which is a new collaborative environment for research, education, and entrepreneurship across artificial intelligence, machine learning, data science, statistics, and digital technologies. The goal of I-X is to realise new models for research, education, and entrepreneurship that go beyond traditional siloes imposed by academic disciplines, thus forming a blueprint for the University of the Future. At I-X, we value research in both foundational and theoretical underpinnings, practical applied areas, transdisciplinary research, and digital innovation. I-X benefits from a strategic investment by the College, which includes new facilities on Imperial's White City and South Kensington campuses. For more information about I-X, please visit Appointed candidates will also be part of one of the following host departments: Department of Computing, Department of Electrical and Electronic Engineering (EEE), Department of Mathematics (which includes Statistics, Applied Mathematics and Mathematical Physics, and Pure and Financial Mathematics), and the Imperial College Business School. As part of your application, please indicate your desired host department or departments. We will also consider candidates with an interest in joint appointments with industry or with multiple Departments. The department of Mathematics is open to applicants from a range of backgrounds with a connection to Learning. Example directions are included below but are not exclusive.

The department highlights AI/ML/Data Science and its intersection with: Topics in Statistics including AI interpretation, Cybersecurity, Dependent data and Health Topics in Pure Mathematics including Discrete and non-commutative probability, combinatorics, topology, operator algebras and number theory.

Topics in Applied Mathematics and Mathematical Physics including Data driven Applied Mathematical Modelling, Scientific computing, Global optimization, Optimal control theory, PDEs constrained optimization, Mathematics of planet earth, Social science, e.g. the theory of mean field games, Single cell data and Health records/social networks.

Topics in Mathematical Finance including nonparametric scenario generation for backtesting trading strategies, data-driven optimization; Decentralised Finance, e.g., endogenous formation of decentralised payment networks; and Quantum Computing.

We offer an attractive salary package (including a pension scheme with significant employer contributions) as well as generous terms and conditions of service. The posts in Computing/EEE/Mathematics are permanent (comparable to tenured faculty positions); those in the Business School are tenure-track. All posts include a substantial start-up package for establishing a research activity at I-X. Other benefits to our staff are subsidised childcare on campus, flexible and family-friendly working policies, opportunities for further professional development, periodic sabbaticals, and free healthcare through the National Health Service. We can provide support and advice on the dual-career needs of candidates and their partners. Our preferred method of application is online, on our website at the following link: Imperial Career's site [] (select "Job Search"). In addition to the application form and a cover letter, please upload: * A full CV that includes all academic degrees (including universities and dates); past and present posts; information on obtained research grants, past student supervision, etc., if applicable; information on public engagement and outreach activities, if any; and a complete list of publications.

* A list of the four most significant publications. For each of the publications, please include a short 100-word statement highlighting the key contributions made by the work.

* A research statement that describes your previous research contributions and future research plans (no more than two pages).

* A teaching statement that describes your previous teaching experience (with evidence of teaching scores, where available), your commitment to teaching excellence and your plans to contribute to teaching at I-X (no more than two pages).

* A diversity statement about your approach to Equality, Diversity, and Inclusion (EDI).

Applicants should contact three referees before applying to ensure their willingness to provide a reference for the present post.

All candidates will be contacted after the shortlisting of applications is completed.

Should you have any queries about the posts, please contact: Alex Gibbs, Imperial-X Operations Manager, Email:

Closing date: Please note recruitment for I-X academics will operate in two rounds. The deadline for applications for the first round is Monday 17 January and the deadline for applications for the second round is Monday 28 February.

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Department of Mathematics
Imperial College London
South Kengsington Campus
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