Job Openings
Research Fellowship (Long-term/Short-term), Summer-Internship, ML/Web Development Engineers (Open)
Description: We are looking for outstanding highly motivated candidates for above specified roles who are enthusiastic about cutting edge research in AI.
Qualification: Pursuing/Graduated B.Tech/M.Tech with strong background in computer vision/deep learning; programming skills like Python expert level, C/C++; extremely high motivation and dedication; a very good academic background and an interest to pursue research/engineering.
Duration: 3 months (summer internship), 6 months (short-term) to 1 year (long-term); might get extended depending on the performance. For more details look into Join Team details guidelines shared by Prof. C V Jawahar
Contact: Shankar Gangisetty - shankar.gangisetty[at]ihub-data[dot]iiit[dot]ac[dot]in
Please drop an e-mail with Curriculum Vitae
Research Assistant Positions
Description: We are looking for outstanding highly motivated candidates for Research Assistants who are enthusiastic about cutting edge research in multimodal AI i.e., in audio-visual learning and vision-language tasks. This area is heavily inspired by the rapid progress of multiple modalities, such as audio, visual, and language systems, as well as the availability of large multimodal data.
Qualification: B.Tech/M.Tech with strong background in computer vision/natural language processing and deep learning; C/C++ and Python expert level; extremely high motivation and dedication; a very good academic background and an interest to pursue research and apply for higher degrees (for example, MS/Ph.D. in a top institute in India or abroad).
Duration: 6 months to 1 year; might get extended depending on the performance.
Emolument: Funded position; Based on qualification, exposure and projects dealt earlier.
Contact: Shankar Gangisetty - shankar[at]kletech[dot]ac[dot]in
Please drop an e-mail with Curriculum Vitae
My past 3 years research at undergraduate students from KLE Technological University have the following profile:
REU 2021: Published a paper in ICDAR 2021, and moved for MS under Prof. C. V. Jawahar, CVIT Labs, IIIT Hyderabad.
REU 2020: Published a paper in ACCV 2020, and now working in Compass.
REU 2019: Published papers in BMVC 2019, ICVGIP 2019, and moved for MS at IIIT Hyderabad and now working in Verisk.
Call for PhD Scholars/Masters/Internship (Open)
Candidates who are interested to do PhD/Masters/Internship on research topics in Computer Vision, Geometry Processing, Machine Learning/Deep Learning, Data Science and Natural Language Processing can reach or email their resume to shankar[at]kletech[dot]ac[dot]in, shankarsetty[at]gmail[dot]com.
Note: Students from other institutes who are willing to do internship during semester vacations are welcome to apply or contact. Candidates possessing good coding skills in C/C++/MATLAB/Python will be preferred.
Research Assistant (Closed - 1)
There is an open position for RA in topics related to Computer Vision, Geometry Processing, Deep Learning, and Natural Language Processing. Interested candidate can reach out by mailing their resume to shankar[at]kletech[dot]ac[dot]in.
Note: Duration is 4 to 6 months. Candidate possessing good coding skills in C++/Python will be preferred. Knowledge of computer vision and machine learning is essential.
Opportunities (Research Assistant/Fellow for the following projects)
[1] Applications are invited for ONE post of Research Assistant/Scholar in the research project entitled “Crowdsourcing Framework for Digital Archiving of Cultural Heritage” sponsored by MHRD, Department of Science and Technology, Government of India.
[2] Applications are invited for ONE post of Research Assistant/Scholar in the research project entitled “3D Reconstruction of Underwater Archaeological Site Poompuhar” sponsored by MHRD, Department of Science and Technology, Government of India.
Essential Qualification: About to graduate / Graduated with B.Tech or M.Tech degrees in Electrical Engg./Electronics Engg./Computer Science or related disciplines.
Desirable: Knowledge of basic image processing, computer vision, machine learning/deep learning. Proficient with the following programming languages: Python, MATLAB, C++ (preferable) , C. Candidate having prior knowledge in the relevant research area will be given priority.
Duration: Minimum 6 months to 1 year initially, which may be extended depending on the performance till the end of the project.
Remuneration: Handsome emolument based on qualification, exposure and projects dealt earlier.
How to apply (Applicable only for Project [1]): Interested candidates are advised to forward their current CV to shankar@kletech.ac.in. In the subject of the E-mail, candidates should write “RA Position in DST-Crowdsourcing Project”. Shortlisted candidates will be informed through e-mail regarding the interview date. Students can also meet in-person for any discussions. The position gets closed once the right candidates are selected. For any queries, drop a mail.
Note: Candidates will be highly encouraged to apply for PhD at KLE Technological University.