385 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
., Robotics, Computer Science, Artificial Intelligence, Engineering (or a related field); Proven research experience in the field of robotics and AI; Sufficient depth and breadth of knowledge in the subject of
-
11 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Architecture Engineering Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) First
-
research scientists. Based across Guy’s, St Thomas’ and Waterloo campuses, King’s Denmark Hill, our academic programme of teaching, research and clinical practice is embedded across five Departments. More
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES
-
United Kingdom Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
resolution, contemporary and historical warfare, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. The Department is located within
-
About Us The Engineering Team at King’s College London is responsible for all reactive, planned and statutory maintenance for all campuses. The Engineering Asset Manager will sit within
-
24 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Literature Engineering Geography Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
-
of femtosecond pulses will be complementary. The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly
-
mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R