I am excited to announce multiple openings for MS, PhD, intern, and visiting researcher 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 reconstructing 4D objects from scans and video. Led by Evangelos Kalogerakis, the grant is hosted at the Technical University of Crete, Greece. 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

All the following positions are funded through the ERC grant and are hosted by the Technical University of Crete:

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 information of 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 / visiting researchers: I am also looking for interns, or visiting researchers, 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 and visiting researchers 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) 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.
(i) In-Person Option: Accepted MS/PhD/postdoc/intern candidates also have the option to reside at Chania, Crete. 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. Detailed guidance about immigration procedures will be provided for accepted MS/PhD/postdoc/interns who wish to move and study in Greece.

The application deadline is February 16, 2025. Following a pre-selection and interview process, notifications are expected by mid March. For further inquiries or information, please contact "kalo[DOT]ai[DOT]lab[AT]gmail[DOT]com".