Computer Vision and Machine Learning Scientist
- Λάρνακα
- Προσωρινή
- Πλήρης Απασχόληση
- Conduct research within funded projects by implementing and evaluating state-of-the-art methodologies.
- Propose ideas for novel research themes and hypotheses with the potential of translating them into publications and securing funding.
- Test hypotheses and evaluate scientific data from various sources, revisiting and adjusting working hypotheses as suitable.
- Collaborate on projects with partners from other research institutions, universities, and the industry.
- Author research articles for peer-reviewed journals and conferences, as well as book chapters.
- Present papers at international conferences, and other venues to disseminate research findings.
- Collaborate in the preparation of scientific reports, including those for project deliverables.
- Manage personal academic research and associated administrative tasks.
- Liaise with funding bodies and provide information to project stakeholders.
- Represent MDigiC at both internal and external meetings and seminars, either with other members of the team or alone.
- Hold a PhD, MSc, or BSc in Machine Learning, Computer Science, or a related discipline.
- Familiarity with the existing literature and state-of-the-art is a must.
- Sufficient theoretical and practical knowledge of methodologies from traditional machine learning as well as deep learning.
- Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.
- Experience in deep learning model development using popular frameworks in Python, preferably in PyTorch.
- Experience in executing research projects from conception to publication is a plus. Publication record in related endeavours.
- Strong analytical and integrative thinking
- Strong organisational and teamwork skills
- Strong written, oral, graphical, and digital presentation skills
- Ability to interact with governmental, industrial, and other external organisations to build productive relationships
- Ability to work under pressure, delegate and plan personal workload effectively
- Ability to solve problems creatively.
- Competitive salary based on experience and qualifications.
- 13th Salary
- Pension Plan
- Flexible Working Hours
- Hybrid Working Model (2 days from home; 3 days from the office)
- “Dress for your Day” code
- 21 days of Annual Leave
- Offering Additional Annual Leaves in August
- Extensive learning opportunities
- Purpose-driven organisation
- A culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed
- A detailed curriculum vitae
- Copies of degree certificates
- Contact details of at least two referees who can provide reference letters
- Examples of published work, research papers, or other relevant writing samples.
EURAXESS