*Post Title:* *PhD Studentship in Causal Machine Learning for Multi-modal data in NLP/Healthcare*
*Location: ADAPT Centre, MTU, Cork Campus, Ireland *
*Anticipated Start Date: **September, 2023*
*Closing Date:* *27 June, 2023*
We are seeking highly motivated and talented individual to join our research team as PhD candidate. This is a full-time, fully-funded position that offers the opportunity to work on innovative projects and make a significant contribution at the interface between machine learning/deep learning, healthcare and Natural Language Processing (NLP) with potential research direction in one of the following areas: Causal reasoning for multi-modal generation, Causal discovery from multi-modal data, Causal reasoning for multi-modal decision making, Causal inference across modalities and Evaluation metrics for multi-modal causal learning. However, we are open to align the Ph.D. research project with your individual interests and expertise. The specific focus and trajectory of the research will be influenced by your personal preferences and research objectives. Your unique perspective and ideas are highly encouraged and valued, as they will contribute to shaping the research project. The successful candidate will be hosted at ADAPT *Centre @ MTU Centre@MTU*, Ireland and closely work with a team of mentors from academia and industry.
*Why ADAPT Centre?*
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Contribute to the ADAPT research agenda that pioneers and combines research in AI driven technologies: Natural Language Processing, Video/Text/Image/Speech processing, digital engagement & HCI, semantic modeling, personalisation, privacy & data governance. -
Work with our interdisciplinary team of leading experts from the complementary fields of, Social Sciences, Communications, Commerce/Fintech, Ethics, Law, Health, Environment and Sustainability. -
Leverage our success. ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards. ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications and nearly 100 PhD students have been trained.
As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer:
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Opportunity to build your profile at international conferences and global events. 2.
A solid career pathway through formalised training & development, expert one-on-one supervision and exposure to top specialists. 3.
A Fully funded, 4 year PhD postgraduate studentship which includes a tax-free stipend of approx. €18,500 per year for up to four years including tuition fees, research and equipment costs and all costs associated with training related covered.
*Minimum qualifications*
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Master’s degree in either Natural Language Processing, Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computer Engineering, Electrical and Electronic Engineering or related disciplines with strong programming skills. -
Expertise and interest in Machine Learning/Natural Language Processing/Causal Machine Learning -
Previous scientific publication experience preferred. -
Excellent written and verbal communication and interpersonal skills
*Application Process **(incomplete application will not be considered)*
Interested candidates can send an application with the following documents directly to Mohammed Hasanuzzaman (*mohammed.hasanuzzaman@adaptcentre.ie* mohammed.hasanuzzaman@adaptcentre.ie)
1.
Detailed curriculum vitae, including – if applicable – relevant publications; 2.
Transcripts of degrees, 3.
The name and email contacts of two academic referees, 4.
A cover letter/letter of introduction (max 2000 words). In the letter, applicants should include the following details: 1.
An explanation of your interest in the research to be conducted and why you believe they are suitable for the position. 2.
Details of your final year undergraduate project (if applicable) 3.
Details of your MSc project (if applicable) 4.
Details of any relevant modules previously taken, at undergraduate and/or Master level. 5.
Details of any relevant work experience (if applicable)
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*Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University https://www.mtu.ie/ * *Funded Investigator, ADAPT Centre- https://www.adaptcentre.ie/ A https://www.adaptcentre.ie/* World-Leading SFI Research Centre https://www.adaptcentre.ie/
*Member, Lero, the SFI Research Centre for Software https://lero.ie/**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France https://www.greyc.fr/en/home/ *Associate Editor:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language* Dept. of CS
Munster Technological University Bishopstown campus
Cork e: mohammed.hasanuzzaman@adaptcentre.ie email@adaptcentre.ie/ Ireland https://mohammedhasanuzzaman.github.io/
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