Mindverse Computing is looking for volunteer Interns to participate in research and development projects. Selected interns will get the opportunity to learn, explore, and cooperate on the project building prototypes in the field of AI, Brain-Computer Interface (BCI), and quantum computing.
Requirements:
(1) Experience in Python programming and OOP
(2) Experience in Machine learning, Deep learning, and Reinforcement learning
(2) Keen interest in learning and exploring Transformer models in deep learning and multi-agent AI systems using Langchain, Autogen, CrewAI
(3) Keen interest in learning and exploring quantum computing-based models (e.g., VQE, QAOA, quantum simulation, and time evolution)
Nice to have:
(1) Scientific computing e.g., optimization, simulation
(2) Experience in computational neuroscience, computational physics
(3) Looking for projects as a part of the University syllabus (look at the 5 criteria for volunteer position)
At Mindverse Computing, we are at the forefront of developing and refining the Quantum Virtual Mind (QVM) – an innovative technology that combines classical and quantum algorithms with Generative AI to shape the future of Brain-Computer Interfaces (BCI). Here are the key components currently under development:
(1) Synthetic Data Generator API for BCI Model Experimentation: We are creating a robust synthetic data generator API to support the experimentation of BCI models and tools. This synthetic data is crucial for developing the Large Mental Model (LMM), an advanced encoder-decoder network that translates brain waves (EKG), heart data (ECG), and breath data into the dynamic parameters of the Quantum Virtual Mind (QVM).
(2) Prototype for Quantum Optimization of the QVM Model: Our QVM is a dynamic quantum computing model designed to calculate an individual's Stress Tensor (ST), which is essential for identifying unique emotional signatures. We are focused on optimizing this model to enhance its precision and effectiveness.
(3) Multi-Agent AI System for Personalized Recommendations: We are developing a prototype multi-agent AI system that leverages stress-tensor-based components to offer personalized recommendations. This system aims to (a) create a personal AI instructor, (b) generate custom music, and (c) design tailored meditation and yoga programs, including breathing exercises and yoga steps.
This position is based on passing 5 criteria for hiring volunteers for the company "made for profit" as explained at UNITED STATES DEPARTMENT OF LABOR website:
https://www.dol.gov/agencies/whd/fact-sheets/71-flsa-internships
Please, revise these criteria and make sure this applies to you before application.
The Test for Unpaid Interns and Students: Courts have used the “primary beneficiary test” to determine whether an intern or student is, in fact, an employee under the FLSA.2 In short, this test allows courts to examine the “economic reality” of the intern-employer relationship to determine which party is the “primary beneficiary” of the relationship. Courts have identified the following seven factors as part of the test:
(1) The extent to which the intern and the employer clearly understand that there is no expectation of compensation. Any promise of compensation, express or implied, suggests that the intern is an employee—and vice versa.
(2) The extent to which the internship provides training that would be similar to that which would be given in an educational environment, including the clinical and other hands-on training provided by educational institutions.
(3) The extent to which the internship is tied to the intern’s formal education program by integrated coursework or the receipt of academic credit.
The extent to which the internship accommodates the intern’s academic commitments by corresponding to the academic calendar.
(4) The extent to which the internship’s duration is limited to the period in which the internship provides the intern with beneficial learning.
(5) The extent to which the intern’s work complements, rather than displaces, the work of paid employees while providing significant educational benefits to the intern.
(6) The extent to which the intern and the employer understand that the internship is conducted without entitlement to a paid job at the conclusion of the internship.