[AISWorld] Post Doctoral Fellows - FLAME University, Pune, India - Multiple Vacancies

[Ajith Abraham]

Dear Colleague,

Greetings! We have multiple vacancies for post-doctoral fellows to work on
few machine learning related projects  (details below). Please circulate
this call to your colleagues, network and mailing lists. Thanks in advance!

==
FLAME (Foundation for Liberal Arts and Management Education) University,
Pune (Maharashtra, India), is the pioneer of liberal education in India.
With a strong focus on interdisciplinary research and teaching, the Faculty
of Computing and Data Sciences at FLAME University has strengths in
artificial intelligence, machine learning, data sciences, software
engineering, semantic web, cyber-physical systems, smart cities,
mathematical modeling, cryptography, satellite remote sensing, education
research and learning analytics. FLAME University offers undergraduate as
well as postgraduate programs that allow students to gain rigorous
interdisciplinary training and opportunities to complement their research
activities, build networks/professional references, and advance their
career aspirations.

The Faculty of Computing and Data Sciences stands for intellectual freedom,
curiosity, and academic integrity.  Faculty is establishing the FLAME -
Machine Intelligence Research Institute (MIRI), uniquely poised to develop
educational models to catalyze innovation and upskill the next generation
for digital transformation. The Institute represents a multi – inter and
transdisciplinary research center to provide a strategic initiative and
direction in a number of research areas stemming out from different
faculties and departments in the University and various sectors of the
Government and Industries based in India and abroad. MIRI plans to bring
together various disciplines and the ongoing research work will be
leveraged for production of high-quality research outputs in International
peer reviewed journals, increasing the number of graduates, as well as the
exploration of new multidisciplinary applications resulting in further
opportunities.

The Faculty is inviting applications from highly research-active candidates
for full time post-doctoral positions in artificial intelligence and
machine learning.  These multi-year program projects are funded by multiple
foundational - industrial grants during 2023 - 2025.  Those with a mix of
experience in academia and industry will be preferred.

A successful applicant may work on one of the following projects:

- Build heuristic-based efficient and compact function approximation
methods using machine learning and approximate reasoning schemes.

- Integrate other machine learning schemes with the concept of deep
learning. The idea is to have an integrated framework complementing the
strengths and weaknesses of each model.

- Hands on real-world problems dealing with different deep learning models
with the objective of automating the learning process and compacting the
network architecture.

- Investigate data quality in IOT networks. The goal is to investigate data
corruption and data loss in sensor networks.

The successful candidate will participate in the initiation of the research
projects and is expected to carry out his or her projects independently.
Applicants should receive a Ph.D. degree in Computer Science. Experience in
industrial projects and working in an interdisciplinary team environment
are highly desired. In addition, the applicant should be self-motivated,
hard-working, and willing to work with flexible hours. Fellows will be able
to collaborate with numerous researchers and faculty involved in MIRI
partner institutions. Fellows will play a leading role in organizing
seminars, workshops and other research activities. The anticipated term for
a fellowship is one or two years – to be decided at the time of
appointment, with the possibility of extension based on mutual agreement.
In addition to competitive salary and benefits, the fellowship also
includes funding for independent travel to workshops, conferences and other
universities and research labs.

*Responsibilities:*
·       Independently design and perform experiments as related to research
project
·       Trouble-shooting and problem-solving as related to the research
project
·       Record results of experiments: Tabulate research data and keep a
detailed, easy to understand laboratory notebook
·       Interpret the experimental results and write progress reports and
grant proposals
·       Present data and journal articles in a laboratory meeting setting
and “research in progress” to the whole department
·       Training of laboratory personnel (Graduate - under-graduate
students), in experimentation techniques. Be a leader for the junior
researchers and set directions.

We are looking for highly qualified candidates in machine learning, AI with
an interest in methodological research, motivated by and applied to
large-scale data. We are particularly interested in candidates with strong
methodological expertise in one or more of the following fields: deep
learning neural networks, and high-dimensional methods.  A solid background
in machine learning and statistical fundamentals and strong machine
learning / statistical computing skills (in one or more of Python, R, C++
etc.) are important. In addition, the candidate should have critical
thinking and problem-solving skills and excellent written and oral skills.

*We offer:*
-Excellent scientific infrastructure and state-of-the-art techniques
-An international environment characterized by a strong focus on science
and research
-Working in an international team within a stimulating research environment
-A high potential for the individual development of our employees
(including targeted personnel development)
-Employment, payment, and social benefits are determined by the University
policies

*Why FLAME University & Pune, India?*
FLAME University's educational philosophy is rooted in the concept of
Liberal Education. We believe that the real world does not function in
isolation, and neither should knowledge. By interconnecting social
sciences, humanities, physical sciences, business, design, natural
sciences, fine & performing arts, communications management and
computational sciences, we equip our students for an ever-changing new
world. At FLAME, our students interact with various disciplines and are
encouraged to address pressing world challenges through different
perspectives. Our aim is to help them grow as critical thinkers and
lifelong learners, as they lead purposeful lives, rather than just narrow
professions. Therefore, we foster an environment that is personalised,
participatory, and provides a transformational experience to aid in their
personal and professional journeys.

Campus - virtual tour: https://www.flame.edu.in/virtual-tour.html
Flame U: https://www.youtube.com/watch?v=eLesOF_BU14

Pune is one of the most important industrial and educational hubs of India,
with an estimated population of 7.4 million as of 2020. Pune Metropolitan
Region has been ranked "the most liveable city in India" several times.
Pune is also considered to be the cultural and educational capital of
Maharashtra. Pune after Bangalore is widely regarded to be the second major
IT hub in India. It is also the most important automobile and manufacturing
hub of India. Pune has several world class educational institutions and is
therefore widely regarded as "Oxford of the East". The city has emerged as
a major global educational hub in recent decades, with nearly half of the
total number of international students in the country studying in Pune.
Distinguished institutes of engineering, information technology, film
school as well as management science and advanced training, attract
students and professionals from India and overseas.

*How to Apply?*
Applications will be reviewed and evaluated on an ongoing basis, following
the receipt of all required materials. Required attachments:
·       Cover letter (1-2 pages in length) which includes the intended
research area and how you intend to contribute to the focus area. If you
have a potential supervisor(s), you should clearly state your motivation
for applying to work with said supervisor, how you could contribute to the
research produced by the supervisor and research area, and other relevant
information. For more senior researchers, you should also include a
preliminary research plan (3-5 pages) which includes background
information, research objectives and methods, possible hypothesized
results, possible collaboration, and any other key information.
·       Detailed CV including complete list of publications and contact
details of possible referees from 3-4 senior academics. We will contact
your referees, if recommendation letters are required.
·       A transcript of doctoral studies and the degree certificate of the
doctoral degree

*Application Process: *Please submit the above requested files using the
link below:
https://forms.gle/cEJqoAR3V25ER69p8

Informal enquiries to *Prof. Dr. Ajith Abraham* <ajith.abraham at flame.edu.in>.
Review of applications will begin from January 23 and continue till the
positions are filled. If you have recently completed a formal post doctoral
fellowship in another Institute / University, then you may not apply for
this position.

*FLAME University is an affirmative action/equal opportunity employer and
is committed to providing employment to qualified applications regardless
of caste, religion, age, sexual orientation, gender identity, or disability
status.*