I am excited to announce multiple openings for MS, PhD, postdoc, and internship positions, all funded by a 5-year ERC consolidator grant. The project, titled "NEURi3D - Learning to synthesize interactive 3D models," seeks to advance deep learning techniques for generating interactive 3D models and scenes as well as intelligently processing 3D/4D scans and video. Led by Evangelos Kalogerakis, the grant will be hosted at the Technical University of Crete, Greece, commencing in October 2024. Remote supervision options are also available, as detailed below. I encourage applications from candidates worldwide, irrespective of cultural background – knowledge of Greek language is *not* required.

Job Openings & Qualifications
a) Postdoctoral Researchers: I am seeking self-motivated early-career researchers who have recently completed or are on the brink of completing their PhD and are eager to advance their research in the aforementioned topics. To apply, please email "kalo[DOT]ai[DOT]lab[AT]gmail[DOT]com" with the subject line "Application for ERC-funded Postdoc Position", attaching the following documents in English:
(i) Curriculum vitae detailing previous academic/industry roles, accomplishments, and publications.
(ii) Research statement outlining research directions and prior experience.
(iii) Transcripts and copies of degrees from both graduate and undergraduate studies.
(iv) Contact information of at least three faculty members or senior researchers willing to provide references. The applicants should send the referees' email addresses only -- not letters.
Minimum requirements include demonstrated research aptitude (i.e., published research papers as first author at top-tier vision, graphics, or ML venues), proficient programming skills in deep learning libraries (PyTorch), and a keen interest in the project's focus areas.  

b) MS/PhD Students: I am also looking for candidates who have recently completed or are nearing completion of their undergraduate (or MS) degree in computer science, computer engineering, or related disciplines, and are enthusiastic about delving into research aligned with the project. To apply, please email "kalo[DOT]ai[DOT]lab[AT]gmail[DOT]com" with the subject line "Application for ERC-funded MS Position" or "Application for ERC-Funded PhD Position," attaching the following documents in English:
(i) Curriculum vitae detailing previous academic/industry roles, achievements, and any publications.
(ii) Research statement outlining potential research directions and any prior research experience.
(iii) Transcripts and copies of degrees from undergraduate and any current studies.
(iv) Contact informationof at least two faculty members or senior researchers willing to provide reference letters. The applicants should send the referees' email addresses only -- not letters.
Minimum requirements include undergraduate and graduate GPAs above 85% (or 8.5 on a 10-point scale) in computer science, computer engineering, or related disciplines, strong programming skills in Python, and a keen interest in the project's focus areas. 

c) Interns: I am also looking for fall, spring, or summer interns who are currently pursuing a MS/PhD degree and are excited to work on any of the project topics in a short-term arrangement. To apply, please email "kalo[DOT]ai[DOT]lab[AT]gmail[DOT]com" with the subject line "Application for ERC-funded internship" attaching the following documents in English:
(i) Curriculum vitae detailing previous academic/industry roles, achievements, and any publications.
(ii) Research statement outlining short-term research goals and any prior research experience.
(iii) Transcripts and copies of degrees from undergraduate and any current studies.
(iv) Contact information (email addresses) of at least one faculty member or senior researcher willing to provide a reference letter. The applicants should send the referees' email addresses only -- not letters.
Minimum requirements include undergraduate and graduate GPAs above 85% (or 8.5 on a 10-point scale) in computer science, computer engineering, or related disciplines, strong programming skills in Python, and a keen interest in the project's focus areas. 

Job Expectations & Requirements
All postdocs/MS/PhD/intern students are expected to engage in cutting-edge research in machine learning, vision, and graphics; develop and implement novel algorithms and techniques; collaborate with peers; participate in research meetings; communicate effectively in English; prepare presentations, video demos, and scholarly papers; and publish in top-tier venues, such as CVPR/ICCV/ECCV, SIGGRAPH/SIGGRAPH ASIA/TOG, NIPS/ICML/ICLR. Students will have access to state-of-the-art deep learning servers equipped with tens of GPUs, which will be bought under the grant.  

Other Position Details 
Candidates may specify in their application their preference over “in-person” or “remote” supervision options:
(i) In-Person Option: Accepted MS/PhD/postdoc/intern candidates, who will be residing in Greece throughout their position's duration, will be engaged as freelance contractors ("el. epaggelmaties" in Greek – note that VAT is not imposed for European funding sources). Detailed guidance about immigration procedures will be provided for candidates who wish to move and study in Greece. Accepted MS/PhD candidates will be enrolled at corresponding programs of the Technical University of Crete. For MS degree options, see here or here. For PhD, see here.
(ii) Remote Option: Postdocs and interns wishing to work remotely, or MS/PhD students who are attending a different program in a different university in Greece or another country, can apply for a remote supervision or co-supervision option. This option is also open for students participating in exchange and joint degree programs with the Technical University of Crete. Accepted candidates under this option will be employed under a direct contract. For remote supervision or co-supervision, the candidates need to first check whether this is allowed based on their current institution requirements. Co-supervision is possible provided that the candidate's current advisor agrees on such an option and a collaboration plan. Candidates should indicate in their application if they are interested in co-supervision. Accepted candidates, who will be residing outside Greece throughout their position's duration, will need to obtain tax residency certifications and translated tax treaty documents in English from their country of residence (after being accepted under the remote option). The remote supervision/co-supervision option is generally reserved for exceptional candidates demonstrating research excellence in their application, evidenced by first-author publications at top-tier vision, graphics, or ML venues.

The application deadline is May 31, 2024. Following a pre-selection process, interviews will be conducted in June, with notifications expected in July. For further inquiries or information, please contact "kalo[DOT]ai[DOT]lab[AT]gmail[DOT]com".