Total 5 Internship researcher job vacancies

1. Lead Generation & Prospect Research

• Identify and research potential clients, customers, and business opportunities across targeted industries and markets.
• Develop and maintain a pipeline of qualified leads.
• Utilize various research platforms, databases, social media channels, industry directories, and online resources to identify prospects.
• Verify and validate lead information including company details, decision-makers, contact information, and business requirements.
• Segment prospects according to industry, geography, company size, revenue, and business potential.
• Conduct account profiling and develop target account lists.

2. Market Intelligence & Competitive Analysis

• Monitor market developments, industry trends, competitor activities, and emerging business opportunities.
• Gather intelligence on competitor products, pricing strategies, market positioning, customer acquisition activities, and business developments.
• Prepare competitor benchmarking reports and market landscape assessments.

3. Business Opportunity Development (exclude)

• Research upcoming tenders, contracts, projects, and procurement opportunities.
• Track market expansion opportunities and new business sectors.

4. Data Analysis & Reporting

• Collect, analyze, and interpret market and customer data

Requirements:

• Bachelor's Degree in Marketing, Business Administration, Economics, Market Research, Statistics, Data Analytics, or a related field.
• Minimum 0-3 years of experience in market research, lead generation, business intelligence, sales support, or business development.
• Proficiency in CRM platforms and lead generation tools.
• Experience in conducting market analysis and competitive intelligence research.
• B2B industry experience is preferred.
• Strong analytical skills with experience in data analysis and reporting tools.
• Proficient in internet and database research, as well as Microsoft Office applications.
• Fresh graduates are welcome to apply.

Leveraging Sony’s world-leading sensor technology, Pentas Vision is exploring the integration of AI and advanced sensing in the field of embodied robotics. We are looking for a motivated AI Research Intern to support ongoing research projects in simulation and real-world robotics, helping us validate new sensors and algorithms in embodied AI tasks. 

This position is ideal for students who are passionate about robotics, multimodal perception, and simulation, and who want to gain hands-on experience in cutting-edge embodied intelligence research. 

What you will be doing: 

• Research Exploration: Contribute to research on embodied AI algorithms, focusing on how multimodal sensing (vision, tactile, IMU, event-based, etc.) can enhance robotic intelligence. 

• Sensor-Algorithm Integration: Collaborate with the team to incorporate sensor signals into learning frameworks, studying their effect on control, manipulation, and perception. 

• Simulation Studies: Design and conduct experiments in simulation platforms (e.g., MuJoCo, Isaac Sim, PyBullet) to evaluate and benchmark embodied AI approaches. 

• Sim-to-Real Transfer: Support investigations into transferring policies from simulation to physical robots, including analyzing sim2real gaps. 

What you should have:  

• Currently pursuing or recently completed a Master’s or Ph.D. in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field, with focus on AI, robotics, or embodied intelligence. 

• Solid understanding of deep learning architectures, with exposure to reinforcement learning, imitation learning, or embodied intelligence. 

• Knowledge of multimodal perception and sensor fusion (e.g., vision + tactile, vision + IMU). 

• Hands-on experience in integrating sensors or working with robotic hardware / ROS pipelines (e.g., data synchronization, calibration, basic debug of hardware–software stack). 

• Experience with at least one simulation framework (e.g., MuJoCo, Isaac Sim, PyBullet). 

• Proficiency in Python, with familiarity in PyTorch or TensorFlow. 

• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. 

• Strong communication skills. 

Preferred Skills 

• Publications in relevant conferences (e.g., ICRA, IROS, CoRL, RSS, CVPR/ICCV) or strong research project record in embodied AI / robotics. 

• Participation in robotics competitions / AI challenges or demonstrable open-source contributions related to robotics/embodied AI. 

Leveraging Sony’s world-leading sensor technology, Pentas Vision is committed to advancing the deep integration of AI and imaging systems. We are looking for a motivated AI researcher intern to support research and development in image enhancement and next-generation sensor algorithms. This role is ideal for students eager to gain hands-on experience with modern imaging technologies and AI-based image restoration techniques. 

What you will be doing 

• Support the research and development of image enhancement algorithms, including denoising, deblurring, super-resolution, low-light enhancement, and HDR. 

• Explore and evaluate state-of-the-art AI models, including diffusion-based and deep learning–based restoration methods. 

• Assist in prototyping and validating algorithms for advanced image sensor concepts. 

• Perform experiments, analyze results, and prepare technical summaries and visualizations of image quality improvements. 

• Work with real sensor data to test algorithms and contribute to proof-of-concept (PoC) development. 

• Collaborate with the team to support integration and testing of imaging algorithms in larger system pipelines. 

What you should have 

• Bachelor’s degree or above (ongoing or completed) in Electrical Engineering (EE), Computer Science (CS), Computer Engineering (CE), or a related engineering major. 

• Strong interest in image processing, computer vision, or AI-driven imaging applications. 

• Basic programming skills in Python, with familiarity in common ML or CV libraries. 

• Curiosity to explore new algorithms, run experiments, and understand image quality evaluation. 

• Good analytical thinking, attention to detail, and willingness to learn. 

• Effective communication skills and the ability to document findings clearly. 

Preferred Qualifications 

• Exposure to deep learning frameworks (e.g., PyTorch or TensorFlow). 

• Experience with any imaging-related coursework or projects (e.g., super-resolution, denoising, HDR, low-light enhancement). 

• Familiarity with modern image sensor concepts or computational photography is a plus. 

• Interest in diffusion models, generative AI, or modern image restoration research. 

Key Assignment & Projects (Internal reference for school internships only):  

Contribute to AI-driven image enhancement research by experimenting with state-of-the-art restoration models and advanced sensor data to support proof-of-concept algorithm development. 

Leveraging Sony’s world-leading sensor technology, Pentas Vision is committed to advancing the deep integration of AI and imaging systems. We are looking for a motivated AI researcher intern to support research and development in image enhancement and next-generation sensor algorithms. This role is ideal for students eager to gain hands-on experience with modern imaging technologies and AI-based image restoration techniques. 

What you will be doing 

• Support the research and development of image enhancement algorithms, including denoising, deblurring, super-resolution, low-light enhancement, and HDR. 

• Explore and evaluate state-of-the-art AI models, including diffusion-based and deep learning–based restoration methods. 

• Assist in prototyping and validating algorithms for advanced image sensor concepts. 

• Perform experiments, analyze results, and prepare technical summaries and visualizations of image quality improvements. 

• Work with real sensor data to test algorithms and contribute to proof-of-concept (PoC) development. 

• Collaborate with the team to support integration and testing of imaging algorithms in larger system pipelines. 

What you should have 

• Bachelor’s degree or above (ongoing or completed) in Electrical Engineering (EE), Computer Science (CS), Computer Engineering (CE), or a related engineering major. 

• Strong interest in image processing, computer vision, or AI-driven imaging applications. 

• Basic programming skills in Python, with familiarity in common ML or CV libraries. 

• Curiosity to explore new algorithms, run experiments, and understand image quality evaluation. 

• Good analytical thinking, attention to detail, and willingness to learn. 

• Effective communication skills and the ability to document findings clearly. 

Preferred Qualifications 

• Exposure to deep learning frameworks (e.g., PyTorch or TensorFlow). 

• Experience with any imaging-related coursework or projects (e.g., super-resolution, denoising, HDR, low-light enhancement). 

• Familiarity with modern image sensor concepts or computational photography is a plus. 

• Interest in diffusion models, generative AI, or modern image restoration research. 

Key Assignment & Projects (Internal reference for school internships only):  

Contribute to AI-driven image enhancement research by experimenting with state-of-the-art restoration models and advanced sensor data to support proof-of-concept algorithm development. 

Role/Responsibilities:

• Independently conduct quantitative finance research with a focus on statistical and predictive models
• Design, backtest, and implement algorithms for optimal portfolio construction
• Evaluate new datasets for alpha potential
• Contribute to the continuous improvement of the investment process and the team’s research and trading infrastructure

Requirements:

• MS or PhD student in finance, applied economics, operations research, statistics, mathematics, electrical engineering, or computer science.
• Demonstrated ability to conduct independent research utilizing large data sets.
• Proficient in Python.
• Strong analytical and quantitative skills.
• Detail-oriented.
• Willing to take ownership of his/her work, working both independently and within a small team.