Post-DocApplications Closed

Constantine Dovrolis

Unknown Organization
Cyprus
Apply by Jan 31, 2024

Application deadline

Jan 31, 2024

Job

Job location

Constantine Dovrolis

Geocoding

Cyprus

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Jan 31, 2024

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Constantine Dovrolis

Geocoding

Cyprus

Geocoding in progress.

Source: legacy

Map

Job Description

The Cyprus Institute invites applications for a Post-Doctoral Fellow to pursue research in Machine Learning. The successful candidate will be actively engaged in cutting-edge research in terms of core problems in ML and AI such as developing efficient and interpretable deep nets, continual learning, neuro-inspired ML, self-supervised learning, and other cutting-edge topics. The candidate should have deep understanding of machine learning fundamentals (e.g., linear algebra, probability theory, optimization) as well as broad knowledge of the state-of-the-art in AI and machine and learning. Additionally, the candidate should have extensive experience with ML programming frameworks (e.g., PyTorch). The candidate will be working primarily with two PIs: Prof. Constantine Dovrolis and Prof. Mihalis Nicolaou. The appointment is for a period of 2 years, with the option of renewal subject to performance and the availability of funds.

Requirements

  • A Ph.D. degree in one of the following: computer science
  • electrical and computer engineering
  • applied math
  • statistics
  • or a degree in a similar area. At least 3 publications in the areas of Artificial Intelligence and/or Machine Learning. Strong programming skills (preferably in Python)
  • and experience with deep learning frameworks such as PyTorch. Ability to work as part of an interdisciplinary team while showing initiative and independence. Excellent knowledge of the English language (written and verbal). High level of organizational
  • analytical and problem-solving skills. Strong presentation skills. High level of communication and interpersonal skills.