Eoin DelaneyEoin Delaney
1 year ago
PhD Scholarship in "Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning" TCD Computer Science and Statistics, Trinity College Dublin in Ireland
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026
Country
Ireland
University
University Name
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More information can be found here
Official Email
Keywords
Computer Science
Data Science
Deep Learning
Mathematics
Artificial Intelligence
Time Series Analysis
Human-computer Interaction
Python Programming
Anomaly Detection
Interpretability
Statistic
Applied Mathematic
Machine learning
About this position
? Only a few days left to apply for this PhD opportunity in Machine Learning at
TCD Computer Science and Statistics
. Thanks to everybody that has applied so far!
Excited to advertise a fully funded PhD Scholarship in "Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning". Please like and share with your network ????.
Candidates will be supervised by me at TCD Computer Science and Statistics in Trinity College Dublin ??. Applicants who have an interest in the following topics may enjoy this opportunity:
- Interpretable Machine Learning and Explainable AI ?? ??
- Algorithmic Fairness and Machine Learning Bias ??
- Evaluation ??
- Human-Computer Interaction ?? ?? ??
- Responsible AI & Applied Machine Learning ?? ???
- Time Series Prediction and Anomaly Detection ??
Programme highlights include a tax-free stipend of €25,000 per annum ??, amongst other benefits!
**Applications from members of underrepresented groups are especially encouraged to apply.**
Eligibility: Applicants should have (or expect to attain prior to project start) at least a 2.1 honours degree or equivalent in the areas of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C. Demonstration of open source project work (e.g., GitHub repositories), and familiarity with machine learning and deep learning frameworks (scikit-learn, PyTorch, LLM API’s) is a plus.
Full details on the position and how to apply can be found here - https://lnkd.in/dKadenGq
Applications will be reviewed continuously so early application is recommended. For informal inquiries please contact Dr. Eoin Delaney ( [email protected] ).
Candidates will be supervised by me at TCD Computer Science and Statistics in Trinity College Dublin ??. Applicants who have an interest in the following topics may enjoy this opportunity:
- Interpretable Machine Learning and Explainable AI ?? ??
- Algorithmic Fairness and Machine Learning Bias ??
- Evaluation ??
- Human-Computer Interaction ?? ?? ??
- Responsible AI & Applied Machine Learning ?? ???
- Time Series Prediction and Anomaly Detection ??
Programme highlights include a tax-free stipend of €25,000 per annum ??, amongst other benefits!
**Applications from members of underrepresented groups are especially encouraged to apply.**
Eligibility: Applicants should have (or expect to attain prior to project start) at least a 2.1 honours degree or equivalent in the areas of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C. Demonstration of open source project work (e.g., GitHub repositories), and familiarity with machine learning and deep learning frameworks (scikit-learn, PyTorch, LLM API’s) is a plus.
Full details on the position and how to apply can be found here - https://lnkd.in/dKadenGq
Applications will be reviewed continuously so early application is recommended. For informal inquiries please contact Dr. Eoin Delaney ( [email protected] ).
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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