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Symbiosis Centre for Medical Image Analysis (SCMIA)

4 Job openings at Symbiosis Centre for Medical Image Analysis (SCMIA)
Research Assistant (2 Nos.) Pune,Maharashtra,India 0 years Not disclosed On-site Full Time

Applications are invited for the post of Research Assistant (RA) (02 Nos.). We are seeking enthusiastic and motivated individuals to work in one or more of the following research domains: Medical Image Analysis, Mental Health Disorders, Musculoskeletal Disorders, Clinical Neuroscience, Medical Robotics, Clinical Research Methods, Digital Signal Processing, and Artificial Intelligence (Deep and Machine learning), and Virtual/Augmented Reality. The initial appointment (probation) is for one year and will be extended by more than one year solely based on performance. Further, the candidates will get all the research experience to prepare for their higher education if required. Responsibilities: · Provide advanced modeling and medical image analytics support to projects in SCMIA. · Lead the development, testing, and implementation of Deep learning/machine learning models.· Handle computational and administrative requirements of NVIDIA DGX A100 GPU Server.· Work in liaison with the team of clinicians, radiologists, technicians, surgeons, and other engineers. · Develop and maintain test scripts and other documentation and train the new recruits and students.· Write scientific journal publications and acquire advanced training for new tools. Essential Qualifications: Minimum qualification is M.Tech/ M.S./M.E./ M.Sc. or equivalent in Computer Science/ Information Technology/ Electronics and Telecommunication/ Data Sciences and AI/ Applied Mathematics degrees. OR Ph.D Degree in one of the research domains with medical imaging focus. Candidates with GATE/NET or UGC/CSIR/ICMR DBT/RGNF/MANF/DST fellows will be given preference. Experience: Applicants with hands-on experience in some or multiple of the following technical areas will be preferred: 1. Data analytics/modelling with medical imaging domain experience. 2. Data science/ ML and AI experience, including Scikit Learn, Tensor flow and Pytorch libraries. 3. Development of Clinical or neuroscience protocols for various clinical trials. 4. Development of Python codes for real-time execution. 5. Development of connectivity interfaces with data sources. 6. Technical knowledge of Medical Image Analysis and Synthesis operations. Development of Game environment in Unity 3D. Salary/Emoluments: As per the SIU norms of Research Assistant position and based on the experience/educational qualification. How to apply: Interested candidates should apply with their detailed resume (including NET/GATE qualification and publications if any) and a cover letter via email to head@scmia.edu.in on or before 31st May 2025.

Research Assistant Position pune,maharashtra 2 - 6 years INR Not disclosed On-site Full Time

As a Research Assistant at our institution, you will have the opportunity to contribute to cutting-edge research in various domains such as Artificial Intelligence, Medical Image Analysis, Clinical Neuroscience, and more. Your primary responsibility will involve providing advanced modeling and medical image analytics support to projects within SCMIA. You will lead the development, testing, and implementation of Deep learning/machine learning models while also managing the computational and administrative requirements of the NVIDIA DGX A100 GPU Server. Collaboration will be a key aspect of your role as you work closely with a diverse team including clinicians, radiologists, technicians, surgeons, and other engineers. In addition to technical tasks, you will be responsible for developing and maintaining test scripts, documentation, and training materials for new recruits and students. Moreover, you will have the opportunity to contribute to scientific journal publications and receive advanced training on new tools to enhance your skill set. To be successful in this role, you should possess a minimum qualification of M.Tech/M.S./M.E./M.Sc. or equivalent in relevant fields such as Computer Science, Information Technology, Electronics and Telecommunication, Data Sciences and AI, or Applied Mathematics. Alternatively, a Ph.D. degree in one of the research domains with a focus on medical imaging will be considered. Preference will be given to candidates with hands-on experience in areas such as data analytics/modelling, data science, machine learning, clinical trial protocols, Python programming, medical image analysis, and Unity 3D development. Salary and emoluments for this position will be as per the SIU norms and commensurate with your experience and educational qualifications. If you are interested in joining our team, please submit your detailed resume, including any relevant qualifications and publications, along with a cover letter via email to head@scmia.edu.in by the 15th of August, 2025. We look forward to receiving your application and potentially welcoming you to our research team.,

Research Assistant Position (2 Nos.) Pune,Maharashtra,India 0 years INR Not disclosed On-site Full Time

Applications are invited for the post of Research Assistant (RA) (02 Nos.). We are seeking enthusiastic and motivated individuals to work in one or more of the following research domains: Artificial Intelligence (Deep and Machine learning), Medical Image Analysis, Mental Health Disorders, Musculoskeletal Disorders, Clinical Neuroscience, Medical Robotics, Clinical Research Methods, Digital Signal Processing, and Virtual/Augmented Reality . The initial appointment (probation) is for one year and will be extended by more than one year solely based on performance. Further, the candidates will get all the research experience to prepare for their higher education if required. Responsibilities: Provide advanced modeling and medical image analytics support to projects in SCMIA . Lead the development, testing, and implementation of Deep learning/machine learning models. Handle computational and administrative requirements of NVIDIA DGX A100 GPU Server. Work in liaison with the team of clinicians, radiologists, technicians, surgeons, and other engineers. Develop and maintain test scripts and other documentation and train the new recruits and students. Write scientific journal publications and acquire advanced training for new tools. Essential Qualifications: Minimum qualification is M.Tech/ M.S./M.E./ M.Sc. or equivalent in Computer Science/ Information Technology/ Electronics and Telecommunication/ Data Sciences and AI/ Applied Mathematics degrees. OR Ph.D degree in one of the research domains with a medical imaging focus. Candidates with GATE/NET or UGC/CSIR/ICMR DBT/RGNF/MANF/DST fellows will be given preference. Experience: Applicants with hands-on experience in some or multiple of the following technical areas will be preferred: 1. Data analytics/modelling with medical imaging domain experience. 2. Data science/ ML and AI experience, including Scikit Learn, Tensorflow and Pytorch libraries. 3. Development of Clinical or neuroscience protocols for various clinical trials. 4. Development of Python codes for real-time execution. 5. Development of connectivity interfaces with data sources. 6. Technical knowledge of Medical Image Analysis and Synthesis operations. Development of Game environment in Unity 3D. Salary/Emoluments: As per the SIU norms of the Research Assistant position and based on the experience/educational qualification. How to apply: Interested candidates should apply with their detailed resume (including NET/GATE qualification and publications, if any) and a cover letter via email to [HIDDEN TEXT] on or before 15th August 2025 . Show more Show less

Project Associates and Research Associates Pune,Maharashtra,India 0 years None Not disclosed On-site Full Time

Role Description This is a full-time on-site role for Project Associates and Research Associates, located in Pune. The selected candidates will be responsible for managing and executing research projects, conducting detailed analyses, and collaborating with clinical researchers. Daily tasks include developing and applying signal and image analysis methods, collecting and interpreting data, preparing reports, and contributing to scientific publications. Qualifications Proficiency in bio medical signal and image analysis techniques and tools Experience with MRI, CT, Ultrasound imaging methodologies Master's in Biomedical Engineering, Electrical Engineering, Computer Science, or related field preferred Ability to work collaboratively in a multidisciplinary team environment