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Reporting to: Reporting to Professor R. Rangarajan (Professor, Division of Mathematical and Physical Sciences, School of Arts and Sciences) and Professor G Goswami (Assistant Professor, School of Engineering and Applied Science) under the project Cosmological dark matter, primordial black holes, Bose-Einstein condensates, and charge asymmetry of the Universe.
School: School of Arts and Sciences
School: School of Engineering and Applied Science
Duration of the Engagement One year and extendable up to July 2022 based on annual performance review. This position is coterminous with the project.
No. of Positions: 1
About the School of Engineering and Applied Science, the School of Arts and Sciences
Collectively, the School of Arts and Sciences and the School of Engineering and Applied Science have experts in a very wide range of academic disciplines. In particular, both Schools together have physicists and mathematicians working on various different areas of physics (nonlinear dynamics, fractional calculus, fluid mechanics, renewable energy technology, atmospheric science, particle physics, cosmology, string theory) as well as mathematics (topology, differential geometry).
Role Summary
The project is sponsored by Department of Science and Technology, Government of India under Indo-Russian Call for Joint Proposals. The JRF will contribute to the various calculations related to (a) formation of primordial black holes, their observational imprints, and implications for the physics of the early universe, (b) Axions and axion-like particles, their possible role in structure formation, and novel ideas for detecting them, and, (c) generation of charge asymmetry in the early Universe.
Responsibilities
- Support in various ongoing research activities in the project,
- Assist with various academic and research activities including ordering and maintenance of project related equipment and consumables, progress report writing, and maintaining project finances,
- Visit Saha Institute of Nuclear Physics, Kolkata, India as well as Laboratory of Cosmology and Elementary Particle Physics, Novosibirsk State University, Novosibirsk, Russia, for collaborative research activities.
Key Skills
- Required: candidates are expected to be well-versed with various topics in mathematical physics (linear algebra, multivariable calculus, complex analysis, Fourier analysis etc),
- Candidates having a very good understanding of the fundamentals of classical field theory and with some familiarity with general relativity and quantum field theory are encouraged to apply,
- Prior experience with cosmology of the early Universe is desirable.
Qualifications
The candidate must have completed a Masters degree in physics.
How to Apply
Interested candidates can submit their application with their curriculum vitae (CV) through email by writing to [email protected] with the following text in the subject of your email: “Application for DST Project” by 12:00 noon, November 18, 2019. CV should include details of academic record starting from 10th standard onwards with details of year of passing, university/college, etc. and also work experience and nature of work if applicable. Name and contact details of two referees must also be included in the CV. Incomplete applications will be rejected. Shortlisted candidates will be informed for the date of interview by phone/email. No TA/DA will be paid for attending the interview.
Level: Full-Time Contractual Positions
Reporting to: Faculty Coordinators of the Courses
Duration of the Engagement: Tentatively from July 25, 2022 to Mid October, 2022
About us
Foundation Programme
Undergraduate students go through a Foundation Programme in their first year. This includes four interdisciplinary and immersive 4-week courses in the Studio format, referred to as Thematic Studios, on Democracy and Justice, Environment and Climate Change, Neighbourhoods and Water. For each of these Studios we seek Teaching Assistants.
Role Summary
The Teaching Assistants for the Foundation Programme will support the teaching-learning activities at the Foundation Programme courses. On most days the learning in the mornings will be via lectures and discussions which will be led by the faculty while the activities in the afternoon will be coordinated by the Teaching Assistants. Teaching Assistants are required to attend the morning sessions as well as coordinate the afternoon sessions.
Responsibilities
- Assist the faculty members in developing / improving the course material, as needed.
- Guide the students during the activities sessions
- Identify the learning gap and facilitate the interactions for a better understanding of the concepts/course requirements
- Assist the faculty members in managing and assessing the evaluation components like assignments/presentations, class participation and projects
- Support the faculty members in handling classroom discipline
- Inform the faculty members about the students’ progress and follow it up in case of any action required
- Keep a record of the attendance during the day
- Any other tasks as assigned by the faculty members
Key Skills
- Proficiency in English and effective communication skills
- Must be learning enthusiasts and student friendly
- Proficiency in use of Microsoft Word, PowerPoint and Excel
- Some experience in college-level research, including knowledge of citing, referencing, annotating, etc. is desirable
- Any prior experience/exposure to teaching is desirable
Qualifications
We are seeking Teaching Assistants with any of the following qualifications:
- BA/BCom/BBA
- MA/MCom/MBA
- Bachelors/Masters in Architecture/Planning/Geography
- BSc/MSc
Teaching Assistants will be remunerated commensurate with their qualifications.
How to Apply
The updated CV with full contact details must be received via email to the Office of the Dean of the Undergraduate College at the email id: [email protected]. Candidates must mention “Teaching Assistant for Foundation Course” in the subject line of the email.
Date of Online Interview will be communicated to the shortlisted candidates only.
Address for Correspondence:
Office of The Dean of the Undergraduate College, Room 232, GICT Building
Ahmedabad University, Navrangpura
Ahmedabad-380009, Gujarat, India
Website: https://ahduni.edu.in/
Reporting to: Professor Jayendra Bhalodiya
School: School of Engineering and Applied Science
About the University/School: School of Engineering and Applied Science at Ahmedabad University offers an opportunity to shape a multi-disciplinary career with core technical expertise and domain experience.
Role Summary: This role is suitable for a computer science graduate or someone about to graduate who aims for a research career. The project is multi-disciplinary between computer science and healthcare. Project Assistant is expected to closely work with the project investigator and report progress. Meeting updates once a week are expected. Particularly, the project aim is to develop a novel teleconsultation tool for cardiomyopathy patients. The required domain knowledge will be shared with the Project Assistant during the initial training provided by the project investigator. However, the Project Assistant is expected to work individually for the technical developments. The role is for one year, starting from June 1, 2022.
Responsibilities:
- To develop a website as per the project definition which includes user side, admin side, database, forms, security mechanism, PDF generation, pop-ups, etc.
- To develop an android/iphone app as per the project definition which includes user side, admin side, database, forms, security mechanism, PDF generation, pop-ups, etc.
Key Skills:
- Coding
- Web technologies
- Mobile app development
- PHP, Javascript, HTML, database, third party API integration
Qualification:
- BE/BTech in computer science or relevant field
- BCA
- MCA
How to Apply: Please email your CV at [email protected]
Reporting to: Professor Mehul S Raval
Role Summary: Carry out the research work on GUJCOST sponsored Semantic Person Retrieval in Surveillance
About Us: Ahmedabad University is a private, non-profit University that offers students a liberal education with a focus on research-driven and project-based learning. https://www.ahduni.edu.in/
Responsibilities:
- Carry out research work of the collaborative research project on “Semantic Person Retrieval in Surveillance as directed by the PI and CoPI
- Carry out research partly at PDEU, Gandhinagar as and when required.
- Keep and maintain the record of the results in presentable form (Soft as well as hard copy).
- Keep a track of contingencies/consumables required for the work.
- Assist the PI and CoPI in preparation of various reports related to the research work.
- Carryout any other project work as directed by PI.
Key Skills:
- Strong Mathematical foundation.
- Sound programming skills preferably in Python.
- Capable of developing framework using Deep learning open source libraries.
- Have some exposure to image processing, Computer Vision and Machine Learning.
- Be curious about the problem.
Qualifications: BE/BTech/ME/MTech in Computer Science / Information Technology / Electronics and Communication Engineering / ICT)/ MSc in (Computer Science/Information Technology/Data Science/ICT) / MCA
How to Apply: The candidate may contact [email protected] in case of any questions or queries about the project. It is a rolling advertisement and will remain open till the post is not filled.
Last Date of application for this cycle: 18.06.2022
Interview date: Last week of June 2022 / First week of July 2022.
The relevant details will be informed over email to the shortlisted candidates.
Reporting to: Professor Keyur D. Joshi
About the School: The School of Engineering and Applied Sciences, Ahmedabad University, is engaged in teaching and research in the fields of Chemical Engineering, Mechanical Engineering, and Computer Science and Engineering (CSE).
Brief Description of the Project: The research project is aimed to design and develop Divya-wear (DW) for visually impaired people. The DW would be a haptic wearable vest for cueing the wearer about the possible indications depending on the prevailing environment. The DW would provide guidance in unexplored areas for the visually impaired wearer. The project is in collaboration with the Blind People’s Association (BPA), Ahmedabad. After the assembly of working prototypes, there will be actual testing by normal and visually impaired wearers. The design would be improved by constructive feedback received from BPA. The research assistant is required to provide full support in various phases of the project.
Responsibilities:
The research assistant is expected to contribute in many ways to the research project, including, but not limited to
- Conducting literature reviews
- Preparing experimental setup, collecting and analyzing the data
- Providing ready access to all experimental data
- Manage and respond to project-related emails
- Supervise students working on the research project
- Attend project meetings, seminars and other meetings as necessary
- Summarise project results
- Prepare progress reports
- Prepare other articles, reports, and presentations.
Other duties, responsibilities, quarterly work requirements, and schedules must be discussed with the faculty researcher. The research assistant will have to abide by all rules and regulations of Ahmedabad University.
Duration of appointment: 01 Year [August 2022 to August 2023]
Key Skills:
- Computing languages/libraries/toolkits/softwares: Python, OpenCV, Intel OpenVino (not mandatory), MATLAB/ Simulink, Solidworks/AutoCAD/Design software
- Areas of interest/expertise: Computer vision, Computer programming, 3D/infrared/stereo vision camera, Machine learning (basics), digital image/video processing (advanced)
- Familiarity with: 1) wearable/haptic technology, 2) electronic/electrical components, 3) 3-D printing machine/s
Qualifications:
- Minimum: BE/BTech with valid GATE Score in CSE/mechatronics/instrumentation
- Desirable: MTech/ME in the above disciplines with a minimum of 60 % overall academic
How to Apply:
Interested candidates should upload their curriculum vitae (CV) at [email protected] before July 15, 2022.
Date of Interview will be communicated to the shortlisted candidates only
No TA/DA will be paid for attending the interview.