Applications are invited for a talented and motivated data science engineer to join a collaborative project between the Trinity Kidney Centre, the School of Computer Science and Statistics and the ADAPT Research Centre at Trinity College Dublin, and the German Research Centre for Artificial Intelligence (DFKI), helping to bridge the gap between artificial intelligence and cutting-edge medical research.

We are seeking a highly skilled Julia developer with at least 4 years of experience and expertise in developing machine learning tools, particularly in the area of scientific computing. The successful candidate will work on cutting-edge projects in the field of scientific machine learning.

Presently, the DSA group is actively recruiting research assistants, MSc, PhD students, postdocs to contribute to the CurATime project, developing AI/ML methods to assist analysis and scientific discovery within high-dimensional biomedical data. We seek enthusiastic candidates ready to start immediately.

Event modelling concerns the analysis of ordered, timestamped data, with discrete states (or patterns) occurring at a particular point or points in the sequence. Examples include detecting faults or cyber-attacks in industrial processes and computer networks, predicting risk of fractures or disease flares in patients, learning of socio-political events through analysis of text data and even modelling the rate of taxi demand and hospital admissions.

Interested in advancing your data science or machine learning career? The DSA group is recruiting new research assistants (Hilfswissentschaftlern; “HiWis”) to work with us on several exciting projects. Positions are available immediately.

Survival/time-to-event analysis is an important field of Statistics concerned with understanding the distribution of events over time. Survival analysis presents a unique challenge as we are also interested in events that do not take place, which we refer to as ‘censoring’.