Software Development
software development
Massimo Sartori
The Department of Biomechanical Engineering at the University of Twente (The Netherlands) has an opening for an Assistant Professor to contribute to outstanding research and education activities in the broad area of Smart Sensing Technologies for the Human Neuromuscular System. We seek exceptional candidates with proven expertise in combining wearable sensors with AI-data analytics. We seek candidates with expertise either at the software or hardware development levels. We look for applications combining AI and sensing to measure signals such as those related to the neural control of skeletal muscles, skeletal muscle mechanics, skeletal joint bending, etc., where such information is crucial and widely applied in scenarios such as personalized healthcare technologies, or musculoskeletal injury prevention, or assistive robotics, or human–robot interactions, or for the deeper understanding of human movement or neuro-rehabilitation processes. We’re looking for candidates with proven capacity to teach at BSc and MSc levels.
Vivek
We are looking for a potential candidate for the Python Based development of the Software BrainX3. BrainX3 (https://www.brainx3.com/) is an interactive platform for the 3D visualisation, analysis and simulation of human neuroimaging data. In particular, we focus on volumetric MRI data, DTI/DSI tractography data, EEG/MEG and semantic corpora from available text databases. BrainX3 provide a means to organise and visualise how the above data types could be combined to extract meaningful insights about brain structures and pathways that might be useful for the scientific and clinical communities. We are looking for a highly motivated individual for a Research Assistant / PhD / PostDoc position to work on software development and further improve the functionality in line with Neuroscience. We’re looking for individuals with a background in computer science or with an experience with python libraries for visualisation, e.g. VTK and QT5.
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The Post Doc for Neuromarketing Based on Brain-Computer Interfaces and AI will be part of the “Career@BI” project, in cooperation with SNAP GmbH. The role involves enhancing your profile and qualifying for professorship at a university of applied sciences. You will gain practical professional experience in the university context and get to know the diverse tasks of university routines. You will add to your teaching and research experience, take part in qualification offers and thus enhance your profile for appointability as a professor at a university of applied sciences. You will also gain practical experience outside HSBI at SNAP GmbH. You will be part of an interdisciplinary team and contribute to the development of brain-computer interfaces (BCI), which are to be used for neuromarketing. The focus will be on software development and signal processing, primarily using AI methods. To collect data and validate the developed procedures, you will conduct studies with test persons.
Dr. Amir Aly
This project will develop datasets and software to deliver Functional Imagery Training (FIT) via mobile devices and, ultimately, via embodied agents (robots). As a person-centred intervention, FIT presents an interesting challenge: the practitioner or AI must tailor responses to the content of what the 'client' says, and guide mental imagery exercises based on that personal content. By building an interdisciplinary team of psychologists and machine learning experts this project will deliver real-world impact with broad implications for mental healthcare.
Padraig Gleeson
The successful applicant will contribute to the goals of the OpenWorm project, to create a cell by cell model of the nematode C. elegans incorporating its full neuronal network and a 3D body/environment simulation. The role will involve contributing to existing and creating new software packages which facilitate the goals of the OpenWorm project. It will also involve carrying out research into the physiology, anatomy and behaviour of C. elegans, to ensure the simulations are biologically realistic. Code will be open source from the start and active interaction with the community of researchers in this area will be required.
Prof. Erik De Schutter
The Computational Neuroscience unit at the Okinawa Institute of Science and Technology, Japan has an opening for a postdoctoral researcher or technician to contribute to the software development of the nanoscale simulator of neuronal electrophysiology and molecular properties STEPS. The software developer will join the STEPS team and contribute to maintenance and further expansion of the software capacities. Recent versions of STEPS improved its parallel performance and added modeling of vesicles. The ideal candidate will have a scientific background but also possess good programming skills, but experienced software engineers can also apply.
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The Pennsylvania State University is seeking an outstanding postdoctoral researcher to join the Intelligent Information Systems Laboratory at the College of Information Sciences and Technology. The position is available immediately or starting in Spring 2025. The researcher will be mentored for a successful transition to a faculty or scientist position in academia or a leading research laboratory as many of our previous postdoctoral fellows. You will be involved in leading and assisting in proposal preparation, research execution, and mentoring students on a project involving the use of AI in wildlife conservation. In addition to the wildlife conservation project, the postdoctoral fellow and the faculty mentors may identify and scope other areas of research to pursue. The position fully focuses on research with no expectation of teaching. However, should the scholar want to teach, arrangements can be made to build teaching experience. The objective of this position is to enhance the researcher’s skills and record for a placement in a leading university or research laboratory at the end of the post-doctoral position.
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You will be working in the Pattern Analysis and Computer Vision (PAVIS) Research Line, in collaboration with the Rehab Technologies and EDPR units. The IIT teams are a multi-disciplinary and multi-cultural group where people with different backgrounds collaborate, each with their own expertise, to carry out research on Computer Vision, Rehabilitation Technologies and Artificial Intelligence. PAVIS Research Line is coordinated by Dr. Alessio Del Bue. PAVIS developed an intelligent sensor network infrastructure at the Center for Human Technologies to deploy, test, and validate human-centric AI approaches in collaboration with several IIT PIs. This infrastructure is used to deploy assistive AI technology, and it will be critical to integrating computational and robotics systems for social good and healthcare applications as part of IIT's Flagships program. Within the research team, your main responsibilities will be: Developing software for cutting edge interdisciplinary technology transfer projects in the area of health care, concretely, Intelligent and Interactive environments to assist frail patients; Collaborating closely with other research units and groups at IIT in multi-group collaborations involving advanced software architectures, machine learning and robotics (e.g. exoskeletons); Prototyping of Proof of Concepts, demonstrations, and use cases together with engineers and researchers with different backgrounds; Providing support on pre-clinical and clinical experiments with real patients; Providing support on the technical preparation of documentation (e.g. technical reports).
How Generative AI is Revolutionizing the Software Developer Industry
Generative AI is fundamentally transforming the software development industry by improving processes such as software testing, bug detection, bug fixes, and developer productivity. This talk explores how AI-driven techniques, particularly large language models (LLMs), are being utilized to generate realistic test scenarios, automate bug detection and repair, and streamline development workflows. As these technologies evolve, they promise to improve software quality and efficiency significantly. The discussion will cover key methodologies, challenges, and the future impact of generative AI on the software development lifecycle, offering a comprehensive overview of its revolutionary potential in the industry.