[visionlist] PostDoc and PhD Position on Deep Learning based AI for Screening Radiology

[Debdoot Sheet]

PostDoc and PhD positions are available in the area of Deep Learning for
developing an Artificial Intelligence powered State of the Art Radiology
Screening System at the Indian Institute of Technology Kharagpur (IITKGP),
India.

The project focusses on developing deep neural network architectures and
learning algorithms including adversarial and reinforcement learning for
high-throughput screening of radiographs including but not limited to x-ray
mammograms, chest x-rays, lung CT scans and bone x-rays. These developments
would be optimised for deployment across large centralised hospitals and
primary care centres as well as for enabling AI based screening at remote
healthcare centres without access to resident radiologists, to tackle the
outreach issues in India, alike low- and middle income countries (LMIC) and
the world.

The PostDoc and the PhD candidates will benefit from the expertise of deep
learning research for medical image analysis available within the research
group at the investigators from IIT Kharagpur and Intel.

Further information on the position:https://iitkliv.github.io
Lab: https://iitkliv.github.io/main.pdf
PostDoc Application (Research Consultant):
https://erp.iitkgp.ernet.in/SRICStaffRecruitment/Login.jsp?ref_no=IIT/SRIC/R/NNA/2017/101
PhD Application (Senior Project Officer):
https://erp.iitkgp.ernet.in/SRICStaffRecruitment/Login.jsp?ref_no=IIT/SRIC/R/NNA/2017/102

The Indian Institute of Technology Kharagpur (IITKGP) established in 1951
is a public engineering education institution established by the Government
of India and is the first of the IITs established. Located in the small
university city of Kharagpur about 120 km south-west of Kolkata the state
capital of West Bengal in the eastern part of India. It has the largest
single campus across all technical institutes in India of about 10 sq. km.
with 37 academic departments, enters and schools, state of the art
computing facility and a vibrant residential student and faculty community.

PostDoc applicant (Research Consultant) is expected to have a recent PhD in
EECS. Candidates having submitted thesis and expecting to defend within 6
months may also apply. Experience of having used deep neural networks and
libraries like pyTorch, Caffe, Torch, TensorFlow, etc.; with accelerators
like MKLDNN, CUDA, cuDNN. Candidates are desired to have published their
deep learning or visual computing related research at venues including
CVPR, MICCAI, ISBI, NIPS, ICLR, ICCV, ECCV, ICML, BMVC, etc; and should
have at least one topical journal article publication in but not limited to
Medical Image Analysis, International Journal of Computer Vision, Journal
of Machine Learning Research, IEEE Transactions on Pattern Analysis and
Machine Intelligence, IEEE Transaction on Image Processing, IEEE
Transactions on Signal Processing, IEEE Transactions on Medical Imaging,
IEEE Transactions on Signal Processing, etc.

PhD applicant (Senior Project Officer) is expected to have a recent
master's degree in EECS and also be GATE qualified in EE/IN/EC. Experience
in deep learning, machine learning, image processing, visual computing,
etc. Use of libraries like pyTorch, Torch, Caffe, Theano, TensorFlow,
scikits-learn, scikits-image. Also expected to have published in
conferences like MICCAI, CVPR, NIPS, ISBI, ICCV, ICPR, ECCV, ACCV, ACPR,
BMVC, ICML, ICLR, ICVGIP, NCC, NCVPRIPG, etc.

Candidates may apply online only at the link provided above.


*​Debdoot Sheet*,* PhD*
*Assistant Professor*, Department of Electrical Engineering, Indian
Institute of Technology Kharagpur, Kharagpur, WB 721302, India
(voice: +91 3222 283 082) (room: N 201) (web:
www.facweb.iitkgp.ernet.in/~debdoot/)
*Chairman and Managing Director*, SkinCurate Research Pvt. Ltd.
(voice: +91 3222 220 119) (web: www.skincurate.com)
*Editor*, IEEE Pulse
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