We are seeking highly motivated and talented individuals to join our
research team as PhD candidates. This is a full-time, fully-funded position
that offers the opportunity to *make novel contributions at the interface
between computer vision and neural machine translation with the primary
goal of addressing automatic recognition and translation of Sign Language
to spoken language**.* The successful candidate will be hosted at ADAPT *Centre
(* <Centre@MTU>https://www.adaptcentre.ie/*)@* <Centre@MTU>
https://www.mtu.ie/*)*, Ireland and closely work with a team of mentors.
*Deadline of Application: **February 22, 2023*, with a starting date of as
early as possible (preferably in March, 2023)
*Why ADAPT Centre?*
-
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:
1.
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
EU tuition fees, research and equipment costs and all costs associated with
training related covered.
*Minimum qualifications*
-
Minimum 2.1 honours undergraduate degree in either Computer Science,
Computer Engineering, Electrical and Electronic Engineering or related
disciplines with strong programming skills.
-
Expertise/interest in Deep Learning/Natural Language Processing/Data
Mining
-
Previous scientific publication experience preferred.
-
Excellent written and verbal communication and interpersonal skills
*Application Process*
Interested candidates can send an application with the following documents
directly to Mohammed Hasanuzzaman (*mohammed.hasanuzzaman@*
<mohammed.hasanuzza...@adaptcentre.ie>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).
*Diversity*
ADAPT is committed to achieving better diversity and gender representation
at all levels of the organisation, across leadership, academic, operations,
research staff and studentship levels. ADAPT is committed to the continued
development of employment policies, procedures and practices that promote
gender equality. On that basis we encourage and welcome talented people
from all backgrounds to join ADAPT.
*About the ADAPT Centre*
ADAPT is the world-leading SFI research centre for AI Driven Digital
Content Technology hosted by Trinity College Dublin. ADAPT’s partner
institutions include Dublin City University, University College Dublin,
Technological University Dublin, Maynooth University, Munster Technological
University, Athlone Institute of Technology, and the National University of
Ireland Galway. ADAPT's research vision is to pioneer new forms of
proactive, scalable, and integrated AI-driven Digital Content Technology
that empower individuals and society to engage in digital experiences with
control, inclusion, and accountability with the long term goal of a
balanced digital society by 2030. ADAPT is pioneering new Human Centric AI
techniques and technologies including personalisation, natural language
processing, data analytics, intelligent machine translation human-computer
interaction, as well as setting the standards for data governance, privacy
and ethics for digital content.
*Our Research Vision*
Governments and civil society are starting to recognise the need for urgent
and concerted action to address the societal impact of the accelerating
pace of digital content technologies and the AI techniques that underpin
them. ADAPT provides an ambitious, ground-breaking, integrated research
programme that assembles three interlocking Strands that together are
capable of addressing this challenge. Each of these complementary and
reinforcing research Strands takes one of the different perspectives on the
provision of personalised, immersive, multimodal digital engagement, i.e.
the individual’s experience and control of the engagement, the algorithms
underlying digital content processing, and the balanced governance by
enterprise and societal stakeholders.
------------------------------------------------------------------------------------------------------
*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.hasanuzza...@adaptcentre.ie <em...@adaptcentre.ie>/
Ireland https://mohammedhasanuzzaman.github.io/
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