PhD on EdgeAI with a Focus on Transformer Models for Resource-Constrained Devices
1 maand geleden
What are you going to do
?Your primary challenge is to explore the inherent limitations of hardware resources while maintaining, or even enhancing, the efficiency of transformer models. You will tackle the complexities of adapting large-scale AI models to work under stringent power, memory, and processing constraints. This may involve technical adjustments in the architecture of the models themselves, and a rethinking of traditional AI deployment strategies.
Tasks and responsibilities:
Perform high quality research in the field of edgeAI. Specifically, we foresee the following tasks:
Design, develop, and test transformer models tailored for devices with limited computational resources. Explore, implement and invent techniques to make transformer-deployment at the Edge more efficient. Simulate various deployments and analyze the performance metrics of models under various constraints. Publish findings in top-tier journals and conferences, contributing to the academic and practical knowledge base of the scientific community.How we support you:
State-of-the-Art Resources: Access to computing clusters and other advanced computing resources as required. Academic and Professional Development: Besides the technical skills, you will enhance your professional skills through workshops, seminars, and conferences. Personalized Mentorship: You will work closely with a supervisor who actively invests in your development, providing guidance tailored to your research interests and aspirations.Your profile
Your experience and profile
MSc in Computer Science or Artificial Intelligence, or a related field with a strong focus on AI and machine learning. Strong analytical and programming skills. Proficiency in Python, and frameworks such as TensorFlow or PyTorch. Experience with implementing deep learning models. Curiosity driven approach to research and ability to take ownership of your work. Professional command of English.It is a bonus if you have some experience in working with transformers and/or neural network architecture modifications.
Our offer
A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is the 1st of September but this is negotiable. The 4-year trajectory should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 2, to € 3, (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile ‘PhD Candidate’ is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.
Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning platform with + different courses; 7 weeks birth leave (partner leave) with % salary; partly paid parental leave; the possibility to set up a workplace at home; a pension at ABP for which UvA pays two third part of the contribution; the possibility to follow courses to learn Dutch; help with housing for a studio or small apartment when you’re moving from abroad.Are you curious to read more about our extensive package of secondary employment benefits, take a look here.
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