Postdoctoral Researcher – FeFoodGenAI Insight & College of Science & Engineering Ref. No. 010536
JOB ADVERTISEMENT
Applications are invited from suitably qualified candidates for a full-time, fixed term position as a Postdoctoral Researcher for FeFoodGenAI project with Insight (SFI Research Centre for Data Analytics) & College of Science & Engineering at the University of Galway, Ireland.
The University is committed to embracing opportunities for hybrid working, to build a more dynamic, agile and responsive University, while sustaining strong standards of teaching, learning, research and high levels of productivity. The University will continue to be the primary workplace for all staff, however individual hybrid arrangement requests can be reviewed with the Line Manager in conjunction with the University Hybrid Working Policy.
This position is funded by Insight (SFI Research Centre for Data Analytics) and is available from 1st September 2024 to contract end date of 30th June 2025.
See more information about the Insight (SFI Research Centre for Data Analytics) and MetaTechLab (College of Science & Engineering).
Salary: Postdoctoral Researcher salary scale €44,346 – €56,764 per annum, (subject to the project’s funding
limitations), and pro rata for shorter and/or part-time contracts.
The default position for all new public sector appointments is the 1st point of the salary scale. This may be reviewed, and consideration afforded to appointment at a higher point on the payscale (subject to the project’s funding limitations), where evidence of prior years’ equivalent experience is accepted in determining placement on the scale above point 1, subject to the maximum of the scale.
(Research Salary Scales – University of Galway)
Closing date for receipt of applications is 17:00 (Irish Time) on 1st August 2024. It will not be possible to consider applications received after the closing date.
*Please review full job description for further details and essential requirement .
JOB DESCRIPTION
Job Description:
We are looking for a highly motivated and talented Machine Learning Researcher to join our team. The successful candidate will have skills in data analytics, LLM, AI, machine learning and, desirably, bioinformatics. The successful candidate will work as part of an inter-disciplinary team of researchers with complementary skills in biochemistry, nutrition, entrepreneurship and data analytics. The successful candidate will conduct research and development in machine learning, deep learning, explainable AI, and time-series analysis applied to Nutrition for Precision Health (NPH) data and will create AI-based solutions for personalized dietary recommendations. The individual will work closely with PIs Prof. John Breslin and Dr. Galina Brychkova.
Duties:
- Actively work with Project Leaders and Project Collaborators to design, develop and test minimal viable
- To develop product concepts/prototype taking inputs from the multidisciplinary
- To translate the latest research in human nutrition and genomics into high-performing systems and models that can be practically
- To preprocess, process and manage large datasets for model training and
- To conduct research activities to design, develop and test minimal viable prototype using Machine Learning and LLM/AI
- To conduct research and development in machine learning, deep learning, explainable AI, and time- series analysis applied to Nutrition for Precision Health (NPH)
- To create AI-based solutions for personalized dietary recommendations
- To develop detailed design outputs, including software code and release
- To coordinate and perform a variety of independent tasks and team activities involved in the collection, analysis, documentation, and interpretation of information/results.
- To make software test protocols as part of design verification activities, execute any testing as necessary, and produce test
- To present information on research progress and outcomes to others responsible for the research
- Actively participate in all activities associated with the project, including required training, developmental opportunities and commercialisation activities
- Collaborate with colleagues on areas of shared research interest, in particular, with software engineers to integrate LLMs and design tools for seamless incorporation of AI functionalities into applications and
- Ensure AI solutions adhere to EU standards and regulatory
- Implement robust security measures to protect sensitive data and maintain user
- To have knowledge and understanding of the policy, practices and procedures, relevant to the role, this may include broader University/ sector/ external sponsor or funder (e.g. Commercial Awareness, Research Ethics, Knowledge Transfer, Patents, Intellectual Property Rights, Health and Safety, Equal Opportunities & Diversity).
- Any other duties assigned commensurate to this level of
ELIGIBILITY REQUIREMENTS
Essential Requirements:
- Minimum of PhD in Computer Science, Artificial Intelligence, Machine Learning in which data analytics are significant components (option to be appointed as a Research Associate if candidate has submitted thesis and awaiting VIVA prior to shortlisting or prior to start date).
- In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI in arena of chemistry, genomics, nutrition or
- Proficient in Python, with strong coding practices for scalability and
- Experience with Git, JIRA, Agile development, and MLOps
- Experience with data manipulation, visualization and analysis tools and libraries like JupyterLab, Matplotlib, Plotly, Pandas, NumPy, SciPy, and Scikit-learn.
- Experience manipulating structured and unstructured data for
- Experience with AI frameworks like TensorFlow, PyTorch, Keras, or Proficiency in implementing and modifying hybrid neural network architectures.
- Experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based
- Experience in time series forecasting models using statistical methods (ARIMA, Exponential Smoothing) and machine learning techniques (LSTM, Prophet, ).
- Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models
Desirable Requirements:
- Published research in the field of Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research
- Prior experience with large data analysis and modelling, and any prior experience with Cloud-based solutions, object-oriented programming, unit testing and data
- Problem-solving and leadership abilities, with the capacity to steer the team’s research and practical applications in a collaborative and fast-paced
- Knowledge of bioinformatics and metagenomics
- Ongoing professional development in Machine Learning and Artificial Intelligence domains is
- Proven ability to comprehend, interpret, and apply cutting-edge research into tangible
CONTINUING PROFESSIONAL DEVELOPMENT
Continuing Professional Development/Training:
Researchers at University of Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans. University of Galway provides continuing professional development supports for all researchers seeking to build their own career pathways either within or beyond academia. Researchers are encouraged to engage with our Researcher Development Centre (RDC) upon commencing employment – see HERE for further information.
Further Information/Links
To apply: Jobs – University of Galway. Applications must be submitted
How to apply guide
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University of Galway is an equal opportunities
All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based
