Our Vacancies

Research Vacancies

PhD Studentships, nasc Research Centre

48 months, fully-funded

Position Summary

Applications are invited for the role of 2 x PhD Studentships to join our research team at the nasc Research Centre, starting as soon as possible.

The positions are 48 month fully-funded PhD (Tax-free stipend of €25,000 p.a. and tuition fees covered at the EU rate,) which will be based at the School of Computer Science and Information Technology in University College Cork in nasc research centre.

PhD1

Developing quantum safe hardware security techniques, zero overhead authentication for AI integrated digital IP design, and provide a secure framework for integrating 3PIPs. Analysis and Integration for practical environments will be required.

Desirable Criteria (for PhD 1)

Fundamental knowledge of Hardware Security, Quantum Computing, AI and hands on experience on FPGA/ ASIC designing with Matlab.

Prior publication record in this domain.

PhD2

Developing context-aware, secure non-terrestrial networking for mission-critical message transfer and data sensing, while ensuring reliable, low-latency, and resilient communication to enable the vision of 5G/6G and beyond networks. Additionally, machine learning-based improvements for scheduling and security of IoT communications will also be explored.

Desirable Criteria (for PhD 2)

Fundamental knowledge of Flying Ad Hoc Network (FANET), UAV/Satellite communications, cluster-based mission-critical communication and hands on experience on Matlab.

Prior publication record in this domain.

Essential Criteria (for PhD 1 and PhD 2 positions)

BSc/ BTech OR MSc/ MTech or equivalent degree in computer science/ electrical/ electronics/communication engineering; Candidates from other disciplines, such as mathematics or physics, may also be considered if their background is demonstrated to be relevant to the topics. For detail qualification requirements, please check: https://www.ucc.ie/en/study/comparison/
Capability of working within a project team to achieve results.
Good communication, organisation, and interpersonal skills.
Fulfillment of UCC’s English proficiency requirements: https://www.ucc.ie/en/study/comparison/english/postgraduate/

To Apply:

Please email (1) your C.V. and (2) a one-page perspective/ supporting letter on how previous experience can help to achieve the PhD objectives to y.ose@ucc.ie

Please use the following in your email subject line when submitting your application to indicate your preferred PhD vacancy: e.g., “PhD1_APPLICANT NAME” or “PhD2_APPLICANT NAME”

Please note candidates should select their most preferred PhD vacancy (1 or 2) and submit only one application. For informal inquiries, applicants can email: kguha@ucc.ie, m.rahim@cs.ucc.ie

Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Monday, 20th January 2024.

No late applications will be accepted.

Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework for the higher education sector.

UCC is committed to creating and fully embracing an inclusive environment where diversity is celebrated. As a University we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage applicants to consult our policies at https://www.ucc.ie/en/edi/policies/ and initiatives at https://www.ucc.ie/en/edi/implementation/ and we welcome applications from everyone, including those who are underrepresented in the protected characteristics set out in our Equal Opportunities & Diversity Policy.

UNIVERSITY COLLEGE CORK IS AN EQUAL OPPORTUNITIES EMPLOYER

Senior Post-Doctoral Researcher, nasc Research Centre, School of Computer Science & IT

33 Months, Fixed-Term Whole-Time Post

Position Summary

Applications are invited for the role of Senior Post Doctoral Researcher at nasc research.

External appointments made directly to Senior Post-Doctoral research positions should have previous post-doctoral experience of at least 3 years.

We are now looking for a Senior Post Doctoral Researcher to join our research team at nasc research. This position provides an excellent opportunity to join a dynamic and inclusive research team at University College Cork (UCC). nasc comprises approximately 50 people working on networks, security and systems research. nasc is part of the School of Computer Science and Information Technology (CSIT). CSIT is a large, research-focused school, participating in many major national and international research collaborations, and with extremely strong links to industry partners.

We are looking for a Senior Post Doctoral Researcher to join the DANGER-IoT project. This research project is funded under the Research Ireland US-Ireland R&D Partnership Programme with academic partners Rochester Institute of Technology and Queen’s University Belfast.

Malware attacks on IoT systems are increasing as quickly as the uses of IoT systems. While significant research has explored how to detect traditional malware for PCs and mobile devices, these approaches cannot be directly applied to IoT malware due to the heterogeneity and low power of IoT systems. State-of-the-art models are also not robust against adversarial example malware. To address these challenges, we will develop Discriminative Adversarial Networks that are Generic, Efficient, and Robust for IoT Malware Detection (DANGER-IoT).

The research will be carried out under the supervision of Prof Utz Roedig. The appointee will work together with other Postdocs and PhD students on malware detection in large-scale IoT networks. The researcher will be expected to make significant contributions to the research agenda of DANGER-IoT, working closely with the Principal Investigator Professor Roedig and with academic and industry collaborators.

We welcome applications by researchers with an established publication track record, appropriate to their career stage. Candidates should have experience in at least two of the following areas: cybersecurity, malware, secure software development, malware detection, AI with specific focus on malware detection, IoT. The candidate should demonstrate a strong background in computer security, system design and system programming. Candidates should have experience of collaborating and engaging with industry, or demonstrate potential for doing so. The project requires coordination with international research and industry partners. The work requires outreach and communication with external stakeholders. In line with our Athena SWAN ambitions we especially encourage women to apply for these positions.

Project Title: Discriminative Adversarial Networks that are Generic, Efficient, and Robust for IoT Malware Detection (DANGER-IoT)

Post Duration: 33 Months, Whole-Time.

Salary: €52,715 - € 57,332 per annum, IUA PD2

For an information package including further details of the post see https://ore.ucc.ie/.

Applications must include the following three PDF files in the application process:

1. A short 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 DANGER-IoT project and the names and contact details of two referees.

Informal enquiries can be made in confidence to Professor Utz Roedig, School of Computer Science & IT. Email: u.roedig@ucc.ie

Applications must be submitted online via the University College Cork vacancy portal (https://ore.ucc.ie/). Queries relating to the online application process should be referred to recruitment@ucc.ie, quoting the job-title and project name.

Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Friday, 24th of January 2025.

No late applications will be accepted.

Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework for the higher education sector.

UCC is committed to creating and fully embracing an inclusive environment where diversity is celebrated. As a University we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage applicants to consult our policies at https://www.ucc.ie/en/edi/policies/ and initiatives at https://www.ucc.ie/en/edi/implementation/ and we welcome applications from everyone, including those who are underrepresented in the protected characteristics set out in our Equal Opportunities & Diversity Policy.

UNIVERSITY COLLEGE CORK IS AN EQUAL OPPORTUNITIES EMPLOYER

Contact Person :	Utz Roedig	Contact Email :	u.roedig@ucc.ie
Job ID :	083113	Contact Number :
Close Date :	24-Jan-2025 12:00

Senior Post-Doctoral Researcher, School Of Computer Science & Information Technology

24 Months, Fixed-Term, Whole-Time Post

Position Summary

Applications are invited for a Senior Post-Doctoral Researcher position within the School of Computer Science & Information Technology.

External appointments made directly to Senior Post-Doctoral research positions must have previous post-doctoral experience of at least 3 years.

PERCeiVE (deriving PERceptual Confidence in cooperative Vehicular Environments) (CONNECT2-T4) will address the challenge of determining believe/confidence in cooperatively shared environmental perception data so that it can be trusted to make a control decision. Cooperative or collaborative perception is widely viewed as the panacea to truly realise autonomous driving, particularly in complex urban environments. The challenge of deriving strong confidence/belief in a vehicle’s perceived environment based on evidence (local & shared sensor readings) is under addressed, as such shared sensor readings may be subject to spatial correlations, occlusions, limited perception range, or sensor specific detection inaccuracies e.g. under certain weather conditions. Thus, the challenge of deriving strong belief originating out of such inconsistent, incomplete and potentially conflicting evidence to determine confidence in environmental perception is a nontrivial challenge.

We are interested to leverage evidence theory/reasoning, otherwise known as the theory of belief functions, or similar techniques to determine perceptual confidence applied to the domain of cooperation perception in a vehicular context. In simple terms: if a vehicle/edge device receives numerous cooperatively shared sensor readings derived out of neighbouring vehicles/infrastructure, and these readings exhibit diverse and perhaps lower confidence levels, the proposed model will fuse these with spatio-temporal and environmental information to derive a higher certainty i.e. confidence in knowing. This will involve a) modelling a complex cooperative urban environment with diverse sensors, weather conditions, mixed levels of autonomy and diverse scenarios, b) investigating approaches such as the Dempster-Shafer (D-S) and others to derive a belief function based on evidence i.e. local/cooperatively shared sensor readings, c) seeking ways to advance D-S beyond evidence only i.e. to derive a belief framework that not only accounts for evidence but also for spatial and temporal correlations and environmental context to overcome potentially contradictory evidence to reduce conflicts in the model d) studying the effect of redundant evidence on belief functions as it can be anticipated that this would reduce conflicts while also acknowledging the trade-off against communication load, and e) considering different degrees of belief based on the same evidence depending on the agent’s evidential demands e.g. a cautious agent like an autonomous device may wish to avoid false negatives and so considers every piece evidence even if contradictory. A human operated device however may want to avoid a high level of false positives and only notify when there is high certainty. PERCeiVE will seek to extend this to consider mixed autonomy SAE levels and the implications of their differing evidentiary demands on their operational design domain (ODD).

We are now looking for a Senior Post Doctoral Researcher to join our research team at the nasc research/CONNECT Centre. This position provides an excellent opportunity to join a dynamic and inclusive research team at University College Cork (UCC), working within the large-scale national Science Foundation Ireland funded CONNECT Centre for Future Networks and hosted by UCC’s new nasc research centre within the School of Computer Science & Information Technology (CSIT). The Centre comprises approximately 50 people working on networks, security and systems research. CSIT is a large, research-focused school, participating in many major national and international research collaborations, and with extremely strong links to industry partners.

The research will be carried out under the supervision of Dr Aisling O’ Driscoll and Professor Dirk Pesch. The appointee will work together with other Postdocs and PhD students on vehicular networking. The researcher will be expected to make significant contributions to the research agenda of the CONNECT research centre, working closely with the Principal Investigators Dr O’Driscoll and Professor Pesch and with academic and industry collaborators.

Applications by researchers with an established publication track record appropriate to their career stage are welcomed.

Candidates are expected to have experience in two more of the following: vehicular networks, wireless communication protocols, belief frameworks, cooperative perception and should demonstrate a strong background in mathematical principles and analytical evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have experience of collaborating/engaging with industry demonstrate potential for doing so. In line with our Athena SWAN ambitions, we especially encourage women to apply for these positions

Project Title: PERCeiVE (deriving PERceptual Confidence in cooperative Vehicular Environments) (CONNECT2-T4)

Post Duration: 24 Months

Salary: €52,715 - €57,332 per annum, (IUA PD2 Scale)

For an information package including further details of the post see https://ore.ucc.ie/.

Informal enquiries can be made in confidence to Dr. Aisling O’Driscoll, School of Computer Science & IT. Email: aisling.odriscoll@ucc.ie

Candidates should apply, in confidence, before **12 noon (Irish Local Time) on Monday, 27th of January 2025

No late applications will be accepted.

Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework for the higher education sector.

UCC is committed to creating and fully embracing an inclusive environment where diversity is celebrated. As a University we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage applicants to consult our policies at https://www.ucc.ie/en/edi/policies/ and initiatives at https://www.ucc.ie/en/edi/implementation/ and we welcome applications from everyone, including those who are underrepresented in the protected characteristics set out in our Equal Opportunities & Diversity Policy.

UNIVERSITY COLLEGE CORK IS AN EQUAL OPPORTUNITIES EMPLOYER

Contact Person :	Aisling O’Driscoll	Contact Email :	aisling.odriscoll@ucc.ie
Job ID :	082991	Contact Number :
Close Date :	27-Jan-2025 12:00

School of Computer Science and Information Technology

Scoil na Ríomheolaíochta agus na Teicneolaíochta Faisnéise

School of Computer Science and Information Technology, Western Gateway Building, University College Cork, Western Road, Cork, Ireland