Vacancies

Welcome to the School of Computer Science and Statistics! We are a thriving multidisciplinary school encompassing five disciplines with over 130 academic, teaching, research and support staff. The school hosts two cutting-edge SFI Research Centres and is located across eight locations on campus. As an integral part of the E3 initiative, we collaborate closely with the Schools of Engineering and Natural Sciences to drive ground-breaking research and education.

Trinity Campus

Our commitment to excellence is evidenced by being the leading university in Ireland in Computer Science and ranked in the Top 100 globally.

Whether you are starting your academic career or seeking to advance your expertise, the School of Computer Science and Statistics is the perfect place to thrive and innovate.

Academic Posts

The School of Computer Science and Statistics is seeking to appoint two Assistant Professors in Computer Science, who will join the Discipline of Networks and Distributed Systems. The

Assistant Professors will be full faculty members, and as such will be expected to innovate in both research and teaching, to assist in the administration and mission of the School and

contribute to the wider research community. The appointees should have the potential to develop into a leader in their particular field of research with a world-class research

programme. The successful candidates will be expected to contribute to undergraduate and/or postgraduate teaching in the School, particularly in areas of Networks and

Distributed Systems.

The successful candidates will be excellent researchers and lecturers with a strong international research track record and clear potential for research leadership. They should

have a strong commitment to research-led undergraduate and postgraduate teaching and a demonstrated capacity/potential to attract research funding and develop a world-class

research programme.

Full Job Description

Application closing date is 19th March 2024 at 12pm

 

Research Opportunities

Post Summary
Novel optical access and metro networks are essential to support fast growing capacity requirement, driven by future applications and services for 6G and beyond. Networks are also 
evolving to support a large variety of signals across larger access and metro network areas. For these novel scenarios, flexibility becomes an essential feature, driven by the development of flexible components and open networks. These however require the development of intelligent control planes to autonomously manage network requests, maintaining high availability and optimal resource utilization.

One Post Doctoral researcher position is available for work in the area of Optical Spectrum as a Service. The scope is to use intelligent AI driven algorithms to enable shared fibre services, where a network operator might lease fibre spectrum to third parties. The work will involve the development of models and control plane actions to detect impairments generated by any of the parties and act on the offending signals to minimise its effect on the other services. The work will be developed around open optical systems and software defined networks 
control planes and will include both access and metro networks. The applicants should have a solid theoretical background on machine learning and optical networks and experience in testbed-oriented research. The work will be carried out in the new OpenIreland research infrastructure, a large-scale testbed for experimentation in optical, wireless and cloud technologies.


The position will be based in the CONNECT research centre at Trinity College Dublin, Ireland, funded primarily by Science Foundation Ireland and ESB Ireland, but can involve other national, European projects. The researcher will also be part of the School of Computer Science and Statistics in TCD. 


The position will be under the direction of Prof. Marco Ruffini and Prof. Dan Kilper.

 

Person Specification

The appointable candidate will hold a PhD, preferably in a Computer Science or Electronic Engineering or related discipline (preferably with a few months of postdoctoral experience.

 

Application Procedure

Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 
referees (including email addresses), to: Pat Kelly/Agnes Gogan  Email Address fellowhsips@connectcentre.ie

 

Full Job Description

 

Vacancies @ Trinity College Dublin

 

 
Novel optical access and metro networks are essential to support fast growing capacity requirement, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro network areas. For these novel scenarios, flexibility becomes an essential feature, driven by the development of flexible components and open networks. These however require the development of intelligent control planes to autonomously manage network requests, maintaining high availability and optimal resource utilization.
 
One Post Doctoral researcher position is available for work in the area of intelligent AI-driven control planes for optical communications networks. The work will involve the development of AI models and intelligent control plane mechanisms to satisfy requirements of high capacity, availability, heterogeneity, and low latency, required by future 6G networks.
 
The work will be developed around open optical systems and software defined networks control planes and will include both access and metro networks.
The applicants should have a solid theoretical background on machine learning and optical networks and willing to engage in testbed-oriented research. The work will be carried out in the new OpenIreland research infrastructure, a large-scale testbed for experimentation in optical, wireless and cloud technologies.
 
The position will be based in the CONNECT research centre at Trinity College Dublin, Ireland and will be funded under the European Horizon project ECO-eNET and other national, European, and industry projects. The researcher will have the opportunity to build their research portfolio within a range of projects within CONNECT. The researcher will also be part of the School of Computer Science and Statistics in TCD.
 
The position will be under the direction of Prof. Marco Ruffini and Prof. Dan Kilper
Closing Date: 12 Noon (Irish Standard Time), 29 March 2024
 

Applications are invited for a 2.5-year Postdoctoral Fellow position available at Trinity College Dublin.

This post is a Postdoctoral Researcher in Statistics position to collaborate on the Multi4More and LegacyNet projects that are both investigating solutions for improving the sustainability of agricultural production systems.

The successful candidate will support statistical analyses within the Multi4More project (https://multi4more.ie/), and will develop statistical methodologies and apply them to data from the international multi-site experiment ongoing within the LegacyNet project (https://legacynet.scss.tcd.ie/).

This post provides a unique opportunity to develop an extensive collaborative network both within Ireland through Multi4More and internationally through LegacyNet.

The ideal candidate will have a PhD in Statistics (or closely related discipline) and experience or interest in analysing ecological or agricultural data.

The successful candidate will collaborate with and report to Professor Caroline Brophy.

Full details available about the position, including how to apply, are available in the Full Job Description

The deadline for applications is 22nd March 2024.

DESCRIPTION: The postdoctoral researcher role will undertake research into the appropriate use of Generative AI (e.g. ChatGPT type approaches) with respect to knowledge graph applications within the Transparent Digital Governance strand. Such possible usages include: the identification of data items for uplift into a knowledge graph; knowledge graph link prediction and completion; support of normal user (non-knowledge engineer) interactions with the knowledge graphs. Concrete use cases are available in ADAPT projects such as the Virtual Records Treasury of Ireland (virtualtreasury.ie) and the ERC VOICES (voicesproject.ie) projects at the very least. The output would include advisory documents and training materials for researchers in the Transparent Digital Governance strand in ADAPT, and a conference paper at a venue in the generative AI or semantic web communities.SALARY SCALE: SFI Level 2B Point 1: €50,539CLOSING DATE:   February 9, 2024FULL DETAILS AND APPLICATION LINK: https://www.adaptcentre.ie/careers/postdoctoral-researcher-in-generative-ai-knowledge-graphs/

We are seeking to recruit a Postdoctoral Research Fellow to investigate the use of deep reinforcement learning (RL) and swarm intelligence techniques to optimize urban and highway traffic in the presence of autonomous and conventional vehicles within the ClearWay project funded by Science Foundation Ireland from 2022-2026.

The successful candidate must have a PhD in Computer Science, Computer Engineering, Electronic Engineering, or a related field.  The post is applicable to both new and experienced PhD holders, and salary will be commensurate with experience and achievement.  The successful candidate will join an inter-disciplinary team of highly-skilled and innovative researchers in the areas of RL and intelligent mobility. 

Application Procedure: 

Please send applications by email to vinny.cahill@tcd.ie and ivana.dusparic@tcd.ie quoting “ClearWay Fellowship” in the subject line and containing three PDF files as follows:

(1) a cover letter,

(2) a curriculum vitae (giving full details of qualifications and experience, including transcripts of degrees, a description of your contribution to relevant project work, identification of your three most-significant publications relevant to the ClearWay project, and the names and contact details of two referees), and

(3) a 1-2 page research proposal.

Please do not provide other documents, documents in other formats, or include any substantive information in the body of your email.

Full Job Description: ClearWay Postdoctoral Research Fellow

Vacancy Posted 1st February, 2024

PrecisionALS (ADAPT) are seeking an experienced, skilled, and motivated Senior Software Developer to join their dynamic technical team within a larger green field project team focused on health research. As a key member of a small collaborative group, you will play a crucial role in developing a multi-faceted, production-grade health research software system. This system aims to contribute to the advancement of research in ALS and serve as a blueprint for future projects addressing various diseases. Your responsibilities in this role include offering assistance, support, and mentorship to fellow team members, fostering a positive and collaborative work environment. Additionally, you will be instrumental in designing and implementing processes to optimize operations and boost overall productivity.

The successful candidate must hold a Bachelor's degree in Computer Science, as well as at least 5 years of proven experience in software development with a focus on innovative projects.

A full version of the job spec can be found here: https://www.adaptcentre.ie/careers/22210/

Application process: applicants should submit a Curriculum Vitae and a Cover Letter (1x A4 page) before 5pm on the Friday 19th January 2024 via the following link: https://forms.gle/VrHXXn2igJFEpr6T9 . The Cover Letter should list examples of how their previous developer experience equips them to deliver the role on Precision ALS, indicate which of the ‘desirable’ skills outlined in the spec are most relevant for them, and illustrate their ability to work on their own initiative and resolve problems.

Post Summary
The Research Fellow to join an interdisciplinary team working on the use of locative games for cultural heritage sites. The project, entitled LoGaCulture, is funded through Horizon Europe and has partners from four European countries.

The TCD team is led by Prof. Mads Haahr and is conducting research, design and development in locative games and interactive digital narrative. The Research Fellow is expected to be a highly experienced true multidisciplinarian who can take an active leadership role in the project.


Standard Duties and Responsibilities of the Post
The duties involve research, design and software development in the area of location-based games for cultural heritage. The researcher will be liaising with other project partners, 
including cultural heritage institutions. The researcher will also be expected to manage TCD’s responsibilities in the project on an everyday basis.

Application Procedure

Applicants should prepare the following:
• A motivation letter clearly indicating how the applicant's profile and skills fit the requirements of this position (max. 1 page);
• A full curriculum vitae;
• Names, affiliation, and contact details of two referees with their e-mail addresses included

Full Job Description

 

 

Post Summary
The Postdoctoral Researcher will join an interdisciplinary team working on the use of locative games for cultural heritage sites. The project, entitled LoGaCulture, is funded through Horizon 
Europe and has partners from four European countries.

The TCD team is led by Prof. Mads Haahr and is conducting research, design and development in locative games and interactive 
digital narrative. 


Standard Duties and Responsibilities of the Post
The duties involve research, design and development in the area of location-based games for cultural heritage. The researcher will be liaising with other project partners, including cultural 
heritage institutions.

Application Procedure

Applicants should prepare the following:
• A motivation letter clearly indicating how the applicant's profile and skills fit the requirements of this position (max. 1 page);
• A full curriculum vitae;
• Names, affiliation, and contact details of two referees with their e-mail addresses included

Full Job Description

 

We are seeking to recruit a Postdoctoral Research Fellow to investigate the use of Machine Learning for sustainable mobility, within CONNECT - the Science Foundation Ireland Research Centre for Future Networks and Communications in collaboration with the E3 Kinsella SUMMIT (Sustainable Mobility Models for a Just Transition) initiative. The successful candidate must have a PhD in Computer Science, Computer Engineering, Electronic Engineering, or a related field. The post is applicable to both new and experienced PhD holders, and salary will be commensurate with experience and achievement. The successful candidate will join an inter-disciplinary team of highly-skilled and innovative researchers in Sustainable Mobility. Application Procedure Please send applications by email to Melanie.Bouroche@tcd.ie and Vinny.Cahill@tcd.ie quoting “Personalized Mobility as a Service Fellowship” in the subject line and containing three PDF files as follows: A cover letter, a curriculum vitae (giving full details of qualifications and experience, including transcripts of degrees, a description of your contribution to relevant project work, identification of your three most-significant publications relevant to the project, and the names and contact details of two referees), and a 1-2 page research proposal

Sustainable Mobility Research Fellow Advert

PhD Opportunities

Location: Trinity College Dublin  

School: School of Computer Science and Statistics  

Funding for: EU and non-EU students  

Funding amount: €24,500/year  

Closing date: 30/Apr/2024  

PhD starting time: 1st/Sep/2024 

Project details: Functional data refer to a collection of functions that are continuous in both the independent and dependent variables. Examples include time series, trajectories, images, and other forms of data that are naturally represented as functions. Functional data clustering is to find patterns in the subjects, where each subject is represented by a continuous function. Functional data clustering has a wide range of applications in many fields: in bioinformatics to group gene expression profiles, in econometrics to group economic time series, and in engineering to group vibrations of mechanical systems. The main objectives of the PhD project are to develop innovative functional data clustering algorithms, code the algorithms into open software with well-designed documentation, and help maintain a digital platform for open (functional) data science. 

You will be registered as a PhD in Statistics and physically hosted in the School of Computer Science and Statistics at Trinity College Dublin. You will be working under the guidance of Dr Mimi Zhang (https://www.tcd.ie/research/profiles/?profile=zhangm3).  

Salary: The successful candidate will receive a full scholarship for a four-year structured PhD program. This scholarship covers all university fees for the duration of the program and includes a tax-free stipend of €24,500 per annum for four years. Additionally, a generous budget is provided to support conference travel, equipment, training, placement maintenance, and publication costs. 

Candidate description: We are looking for candidates with a Bachelor's degree in statistics, math, computer science, or closely related subjects. A solid theoretical and practical knowledge of statistics is essential, along with proficiency in programming. 

How to apply: Please submit your application here: https://forms.office.com/e/JjCKtYwiw8

Selected candidates will be contacted within 3 weeks after submission.