2017 Internship Projects at IBM Research - Ireland       

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2017 Internship Projects at IBM Research - Ireland - overview


Interns 2017

 

The IBM Research lab in Dublin is looking for top MS and PhD students interested in all areas of research in computer science, including data mining and machine learning, cognitive computing, statistical modelling & optimisation, control and decision systems, social, semantic web, high performance computing.

 
Our internship program provides students with a unique opportunity to experience the research environment here at IBM. The program is highly competitive, and is designed for top students who are interested in tackling challenging research problems. Many of our student interns have authored papers, or even thesis, out of their sojourn with us; have contributed to open source projects; and/or have contributed to IBM products. Our research focuses on improving city operations and the well-being of citizens. We operate under a collaborative environment involving IBM scientists, industries and universities. We accompany IBM in its transformational journey with the mission of building smarter cities and in the process transforming mini-cities while strengthening the foundations for smarter infrastructures through the Internet of Things (IoT).


We offer:
* A stimulating, cross-disciplinary environment in a leading research organisation
* Opportunities for a unique combination of scientific and industrial research into real-world problems
* Excellent ties to research groups worldwide
* Up-to-date infrastructure and resources
* The ability to take part in large-scale international research projects
 
Successful candidates must be current MS or PhD students. In submitting their applications, students should specify the top 3 internship projects of interest to them, selecting from the list below.

Direct link to apply for internship ->

LIST OF INTERNSHIP PROJECTS (Click links for details):

Data Privacy for Health Care

Multi-modal Information Retrieval for Annotating Text Documents with Relevant Images

Decision Gisting

Machine learning models for the humanitarian sector

Probabilistic preference model to account for incomparability

Virtual testing and Hardware-in-the-loop simulation

Data-driven robust optimization

Distributed Optimization and Consensus

Real Time Car Sharing

Real-time filters for monitoring drivers behavior

Feedback control of the modal shift considering priority queues in traffic light control

City-scale real-time pollution estimation from roadway traffic

Cognitive Disruption Control in Complex Schedules

Ensemble based forecasting of wave conditions

Forking events analysis in Blockchain protocols

Cognitive inverse modelling and its application to hydraulic diffusivity inversion

Automatic predictive maintenance

Learning like Humans using Deep Learning

Can an AI understand the weather?

Large-scale Cognitive Workload Optimization

Pathfinding in New Cloud Architectures

Healthcare & Social Care

Automated extracting of information from scientific and patent literature on chemistry

Multi-Robot Collaboration