Connectionists: [jobs] Job Offer in Computer Vision & Machine Learning

[Vittorio Murino]

*JOB OFFER: COMPUTER VISION AND MACHINE LEARNING EXPERT**

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We are hiring talents with skills and experience in computer vision and 
machine/deep learning to work on highly innovative projects addressing 
challenging, realistic, yet still open problems in CV&ML and related 
applications.

We are looking for passionate researchers who loves challenges and wants 
to grow working in a team composed by academia and industry scholars, 
highly qualified and engaged to study, design, develop and validate 
image and video analysis methods based on deep learning approaches.

Starting from the analysis of the start-of-the-art models, you will be 
asked to study anddesign deep learning models tailored to tackle, and 
possibly solve, realistic problems related to domain adaptation and 
generalization, semi/self/un-supervised learning, learning with 
imbalance/few data or with (label) noisy data. We aim at tackling actual 
applicative projects and validating our proposed methods coping with 
public and proprietary datasets.

A further challenge is also to find out effective and efficient deep 
learning approaches in order to maximize performance while optimizing 
and containing the computationalcost (memory and processor usage) and 
the use of computing resources.This target is faced together with 
hardware specialists, with whom one can work daily side-by-side to 
jointly support the development of such models.

This mix of high-tier academic and industrial fellows create a unique 
environment and unmissable opportunity for those who really want to make 
the difference and deploy AI onto the real world.

Required qualifications (not all requested, but the more, the better):

·Significant skills and experience in Machine and Deep Learning.

·Significant skills and experience in Computer Vision and Image\Signal 
Processing.

·Experience in Software development using Python (SciPy, NumPy, OpenCV, 
Pillow, etc.).

·Experience with development frameworks for machine learning such as 
TensorFlow/Keras and PyTorch.

·Knowledge on model optimization techniques for latency and memory 
footprint.

·Knowledge of state-of-the-art DNN architectures such as ResNet, 
MobileNet, YOLO, etc.

·Knowledge about object detection and classification, human pose 
estimation, semantic segmentation, forecasting.

·Publication track record on relevant conferences (CVPR, ECCV, ICCV, 
NeurIPS, ICLR, ICML, etc.) and/or journals (PAMI, IJCV, CVIU, etc.)

·Problem-solving, analytical and critical thinking skills.

·Excellent communication skills and ability to work in a highly 
collaborative environment.

·Fluent English, spoken and written.

Doctorate studies are a very welcome add-on, even if not mandatory.

Place of work: Verona, Italy.

If you are interested and meet the above requirements, please, send your 
CV and other possible relevant information to Prof. Vittorio Murino, 
vittorio.murino at univr.it. Thank you


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Vittorio Murino

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Prof. Vittorio Murino, Ph.D.

PAVIS - Pattern Analysis & Computer Vision
Istituto Italiano di Tecnologia
via Enrico Melen 83, Building B, Floor 8
16152 Genova, Italy

Mobile: +39 329 6508554
E-mail:vittorio.murino at iit.it

Secretary: Sara Curreli
email:	sara.curreli at iit.it
Phone: 	+39 010 2897420

http://pavis.iit.it
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