We frequently conduct projects with industry partners, mostly as part of our work in the ADAPT Centre. Industry partners we have worked with so far include Ryanair, Novartis, HRS, ISO, Wolters Kluwer, and Iconic. If you are interested in a collaboration relating to one of our research areas or presenting an exciting technology or new project in one of our lectures, please contact us.
Some of the options for collaborations are outlined in the following.
Joint research and/or development
We are open to discussing any kind of collaboration relating to projects in the fields of machine learning or recommender systems, or one of our other areas of interest. Collaborations may be short-term projects that are mutually beneficial to you and us. Or, mid- and long-term projects that could be (co-) funded by the industry partner and/or funding agencies like the Science Foundation Ireland, Enterprise Ireland, or the EU.
Sponsor a PhD student or PostDoc
If you are working on a challenging research problem, sponsoring a PhD student or postdoctoral researcher may be a solution. A PhD student at Trinity College Dublin typically works for 4 years on a specific task, while a postdoctoral researcher may work with you for one or two years. There are various funding models for sponsoring PhD students and postdoctoral researchers. Contact us to learn more.
Host/Present/Sponsor a Meetup
Our colleague Declan McKibben in the ADAPT Centre is organizing Dublin’s largest meetup relating to machine learning — the “Machine Learning Dublin” Meetup with 3,600 members. We are also organizers of the “Recommender Systems in Action” meetup, though the first meetup in that group has yet to be organized. If you are interested in presenting a novel product or technology relating to machine learning or recommender systems, at one of the meetups, please contact us. Similarly, if you are interested in hosting a meetup, or becoming a sponsor of one of the two groups, please let us know.
Offer a 6-months Internship
Some undergraduate students of TCD’s school of computer science and statistics are required to do an industry internship in their final year. The internship lasts around six months, though not full-time (students need to take some modules while doing the internship). The internship is intended to give students some real industry experience, and write their Bachelor thesis. For companies, such an internship is a great opportunity to get to know potential candidates to hire. So far, many large IT companies have offered such internships (including Google, Accenture, Deloitte, Groupon, Indeed, MasterCard, Oracle and SAP). However, also smaller companies have offered internships and successfully hired the interns. All internships are co-supervised by a researcher at Trinity College Dublin. If you plan to offer an internship relating to recommender systems, machine learning, or one of our other research fields, we would be happy to act as supervisor.
Give a Guest Lecture
We are teaching the e-Business II and the Machine Learning modules at the School of Computer Science and Statistics. Each semester, we invite an industry partner to give a guest lecture in one of the two modules. Industry partners who have presented their products and technologies include IBM, PayPal, and Stripe. If you are working in a field relating to e-Business or machine learning and would like to give a guest lecture, please contact us. Please keep in mind that from our side, the goal of the guest lecture is not to have some marketing presentation, but provide students with real-world insights into some exciting technologies. Since the students are mostly computer science students, we would prefer a speaker with a strong technical background.
Cooperate with SCSS or ADAPT
The ADAPT Centre has many experts in areas like virtual & augmented reality, machine translation, personalisation, natural language processing, e-Health, gaming, fraud detection, privacy, fintech, digitalisation, visualisation, and eLearning. In addition, TCD’s school of computer science and statistics (SCSS) has expertise in many areas and maintains close cooperation with industry partners. Feel free to browse the websites of the ADAPT Centre and school of computer science and statistics and contact them.