3588 Matlab Jobs - Page 31

Job Title: Electronics and Radio Design Intern Location: Noida Duration: 3-5 Months Job Summary: We are looking for a motivated Electronics and Radio Design Intern to join our innovative team. The intern will support the design, development, and testing of electronic circuits, radio frequency (RF) systems, and firmware for cutting-edge products developed for the Indian Army. This role offers hands-on experience in RF circuit design, antenna systems, microcontroller programming, and embedded systems, providing a unique opportunity to contribute to mission-critical technologies. Key Responsibilities: Assist in the design and development of RF circuits, antenna systems, and PCBs using tools like KiCad or Altium Designer. Conduct research and evaluation of electronic components, RF modules, sensors, and communication modules for project requirements. Perform testing and validation of RF circuits, electronic systems, and PCBs using tools such as network analyzers, multimeters, oscilloscopes, and signal generators. Support the development and testing of communication protocols, including UART, SPI, I2C, CAN, and wireless protocols like LoRa, Zigbee, or Bluetooth. Collaborate in prototyping and debugging hardware to ensure functionality, signal integrity, and performance in radio and embedded systems. Assist in creating and maintaining technical documentation, including schematics, RF performance reports, test results, and user manuals. Stay updated with emerging trends in RF design, wireless communication, and embedded systems technologies. Qualifications: Currently pursuing or recently completed a degree in Electronics Engineering, Electrical Engineering, Telecommunications, or a related field. Good working knowledge of electronic circuit design, RF principles, antenna design, and schematic capture. Familiarity with RF and microwave components, such as amplifiers, filters, mixers, and oscillators. Familiarity with microcontroller programming (e.g., Arduino, STM32, ESP32). Understanding of basic communication protocols (UART, SPI, I2C, etc.). Hands-on experience with MATLAB, RF testing tools (e.g., spectrum analyzers, network analyzers) and debugging tools (e.g., oscilloscopes, multimeters, logic analyzers) is an advantage. Strong analytical and problem-solving skills with an interest in RF and wireless communication systems. Good communication and teamwork abilities. Job Types: Full-time, Fresher, Internship Contract length: 3 months Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Work from home Work Location: In person

We’re working on the next generation of Battery Energy Storage Systems — efficient, modular, and built for the evolving grid. If you're passionate about power electronics and want to apply your skills to real-world energy challenges, this internship might be for you. What You’ll Work On Simulating and analyzing power converter topologies (DC-DC, DC-AC, bidirectional). Assisting in converter control development – voltage regulation, current limiting, SoC balancing. Exploring circuit-level challenges: switching behavior, thermal management, filtering. Reviewing latest research in power conversion and storage integration. What We’re Looking For Final-year or postgraduate student in Electrical Engineering / Power Electronics. Comfortable with simulation tools like MATLAB/Simulink, PLECS, or PSIM. Strong grasp of power electronic fundamentals — switching, modulation, efficiency. Bonus: Exposure to BMS concepts, embedded control (e.g., STM32, TI), or EMI filtering. What You’ll Gain Monthly stipend based on your experience and skill level. Hands-on experience in designing real-world power systems. A chance to shape early-stage BESS tech with tangible impact. Close mentorship, high ownership, and exposure to full-stack energy product thinking.

Role & responsibilities We are seeking a programming-skilled professional to join our Powertrain team. The ideal candidate should have strong expertise in software development, simulation tool integration, and automation to support our powertrain design and analysis processes. Domain Knowledge 1.Experience in SIL (Software-in-the-Loop) by integrating multiple simulation tools. 2.Skilled in co-simulation between tools such as Adams and MATLAB for seamless data exchange and enhanced model fidelity. 3.Proficient in MATLAB scripting (M-Scripting) and GUI development for automation and user-friendly interfaces. 4.Expertise in automating processes to improve efficiency and reduce manual effort. 5.Strong analytical and problem-solving abilities, enabling effective troubleshooting and optimization.

Are you passionate about redefining how power is managed in high-performance infrastructure environments? A globally renowned data center operator is seeking an Electrical Engineering Innovation Lead to join their growing India-based operations in a full-time, permanent position. This is a unique opportunity to work at the forefront of software-defined power and infrastructure efficiency - leading cutting-edge research, piloting new technologies, and shaping the future of electrical systems within critical facilities. Key Responsibilities: Spearhead advanced research in electrical power systems with a focus on software-defined energy solutions for managing stranded capacity in data center environments. Partner closely with core Design & Engineering teams to optimize electrical designs for greenfield developments, retrofit projects, and infrastructure enhancements — with an emphasis on cost efficiency and innovation. Actively contribute to early-stage technology adoption and provide site-specific feedback during the development of Basis of Design (BOD) documentation. Conduct quarterly reviews of emerging technologies and cost models for key electrical infrastructure components. Utilize modeling, simulation, and data analysis tools (e.g., MATLAB, COMSOL) to support engineering decisions and validate system performance. Work Style & Expectations: Flexibility to occasionally work outside of standard business hours for critical milestones, research activities, or technical presentations. Ability to function autonomously and collaboratively to drive impactful outcomes from applied R&D initiatives. Qualifications & Experience: Master’s or PhD in Electrical Engineering or a related discipline from a recognized institution; a concentration in Power Engineering is preferred. Demonstrated experience in the design, implementation, and commissioning of medium, low, or high-voltage electrical distribution systems, including AC/DC and SCADA-based management platforms. Familiarity with power system condition monitoring and lifecycle optimization techniques. Interested or know someone who might be a great fit? Send your updated CV or referral to mohit.j@rpint.com - referrals are always welcome!

Sales Account Manager Job Summary Maximize sales of MathWorks products (MATLAB and Simulink) and services to Automotive customers in the Chennai Region. The Sales Account Manager will work closely with local and international marketing and technical experts to bring the full range of MathWorks product and service offerings to our customers. **Must be based in the Chennai region to be considered ** Responsibilities • Achievement of revenue targets; New Product Sales (NPS), Software Maintenance and Services (Training and Consulting). • Develop relationships within assigned customers at all levels • Rigorously follow up and prioritize all qualified leads provided by marketing or sales support; energetically prospect for new business opportunities within these assigned customers. • Work closely with local and international marketing and technical experts to bring the full range of MathWorks product and service offerings to our customers. • Develop and manage a funnel of activities • Accurately Forecast business and activities within the territory • Raise coverage and position of MathWorks within the territory • Document and report sales activities using an advanced CRM tool Minimum Qualifications bachelor's degree and 6 years of work experience with an engineering degree is required. software sales solution selling Additional Qualifications • Degree or equivalent in an engineering is required • 4-7 years of effective solution selling experience to an industry vertical such as Engineering Services, Automotive, Aerospace, Industrial Equipment, or Communications. • Demonstrated experience to balance volume and strategic sales • Highly analytical but balanced with commercial selling ability and strong negotiation skills. • Should have experience in selling to Senior Executives and Department Heads • Self-motivated and goal driven, creative, high-energy and a strong team player. • Fluency in Tamil is required • Strong work ethics and organized, quick learner

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. About The Role We are seeking a passionate and technically curious ExcelHer to join our Advanced Powertrain and Electrification Division. The focus of this internship is to assist in the development, testing, and optimization of battery energy transfer systems between electric trucks and electric construction equipment (such as loaders, diggers, and cranes). This includes both static and dynamic charging concepts, bi-directional energy flow, and smart load balancing strategies. Key Responsibilities Support the design and modeling of battery-to-battery (B2B) energy transfer systems across heavy-duty electric platforms. Assist in the integration of vehicle-to-vehicle (V2V) and vehicle-to-equipment (V2E) energy systems using DC fast-charging standards and high-voltage safety protocols. Participate in simulation and prototyping of energy management systems (EMS) for intelligent energy routing and load sharing. Contribute to the development of real-time monitoring and control systems, including CAN communication and BMS interoperability. Assist with lab and field testing, collecting and analyzing performance data from trucks and equipment under real-world duty cycles. Research global standards (e.g., ISO 15118, CHAdeMO, CCS, SAE J1772) applicable to construction and transport electrification. Collaborate with electrical engineers, firmware developers, and systems architects to iterate and improve system reliability and efficiency. Document progress, test results, and technical learnings in structured formats for internal knowledge and IP development. Preferred Qualifications Pursuing or recently completed a Bachelor’s/Master’s in Electrical Engineering, Power Electronics, electronics, or a related field. Basic understanding of Li-ion battery systems, BMS, DC charging protocols, and power electronics. Hands-on experience with MATLAB/Simulink, LTspice, Python, or similar simulation and prototyping tools. Familiarity with CAN bus, data logging, and diagnostic tools for electric vehicle platforms. Passionate about sustainability, renewable energy, and electric mobility solutions. Excellent communication, problem-solving, and collaboration skills. Bonus Skills (Nice To Have) Exposure to construction machinery electrification trends. Knowledge of thermal management and SOH/SOC estimation algorithms. Experience working with prototype builds, hardware integration, or test benches. What You’ll Gain First-hand experience working on cutting-edge energy transfer technologies for next-generation electric fleets. Cross-domain exposure: mobility, construction, energy storage, and power electronics. Opportunity to work in a fast-paced R&D environment with mentorship from experienced engineers. Potential pathway to full-time employment based on performance and project success. We value your data privacy and therefore do not accept applications via mail. Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.

DISCOVER your opportunity What will your essential responsibilities include? Central cash management processing following Internal audit and Financial Internal Control guidelines Production of operational and business reports on a pre-defined frequency Collections through statement generation, reminders, and follow-up with various departments Account reconciliations (Claim Bucket, Cash Control Account) and resolution of issues in coordination with internal parties. SHARE your talent Were looking for someone who has these abilities and skills: Required Skills and Abilities: Graduate / Postgraduate in commerce is mandatory. Desired Skills and Abilities: Exposure to accounting/ insurance at education or Previous work experience in BFSI vertical will be preferred A couple of years of experience. Effective communication & interpersonal skills Advanced MS Excel skills

This is a full time role with our global engineering client. Position is open for Chennai/Mumbai. Purpose - Support the Commercial function in technical topics Take ownership of the technical scope in tenders Support Lead Engineer with calculations and documentation Responsibilities - Ensure compliance of cable system with internal requirements, international standards and Client requirements Maintain alignment between technical proposal and tender strategy Take ownership of assigned technical scope Follow established Engineering processes Follow established Engineering design premises Success criteria - On-time and on-quality delivery of assigned scope Adherence to the Engineering processes Primary tasks - Analyze tender requirements and perform cable system design work Analyze Lead Engineer’s assignment requirements Perform thermal/electrical/mechanical calculations Assess qualification needs and propose qualification plans Interface with relevant depts in the organization Present technical proposal to Clients Compile relevant documentation Interfaces - Tender Engineering • Commercial and Tender • Sales • Planning • High voltage labs Education - MTech/M.E/BE/BTech in electrical or high voltage engineering Experience - 7 years onwards into HV/EHV background or 2-3 years onwards experience with cable system design 2-3 years experience with thermal/electrical calculations 2-3 years experience in compiling tender documentation Tools - Microsoft office • Comsol • Matlab • Preferably AutoCad

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB)

Morningstar is a financial services company committed to helping people achieve financial security through trusted investment research and data. Our Managed Investment Data (MID) team plays a crucial role in this mission by working directly with asset management companies, which send us comprehensive data on their funds. This data includes information on portfolios, ownership stakes, investment styles, NAVs (net asset values), holdings, and operations. Our team’s responsibility is to collect, organize, and standardize this data, adding value with Morningstar’s own analytics to help investors make better-informed decisions. The work of the MID team supports individual investors, financial advisors, and institutional clients by ensuring they have access to clear, accurate, and compliant investment data across Morningstar’s software and data platforms. Since 2020, the team has grown significantly, expanding from just five people to over 380. This growth reflects the increasing importance of our work and the high demand for reliable managed investment data in the financial industry. By managing new fund activations and essential documentation, the MID team helps ensure data accuracy and regulatory compliance, which are essential for effective fund management and supporting the broader financial ecosystem. Responsibilities The Senior Data Quality Assurance Engineer will be responsible for ensuring the accuracy, integrity, and consistency of data across our systems. This role involves designing and implementing quality frameworks, conducting data quality assessments, and performing advanced statistical validations. The ideal candidate will leverage AI/ML techniques to detect patterns and anomalies in financial and investment data. Additionally, this position focuses on automating data quality processes to uphold robust data governance and ensure compliance with industry regulations. Lead the design and implementation of quantitative data quality frameworks, including statistical checks and anomaly detection systems. Utilize advanced statistical methods (e.g., linear and non-linear modelling, Bayesian analysis) to evaluate data quality across large, complex datasets. Develop and integrate AI/ML models for predictive data quality checks and to improve data accuracy over time. Improvement in data collection Ensure compliance with financial regulations and industry standards related to data governance, including managing data privacy and security risks. Mentor junior quantitative analysts, promoting best practices in data quality management and statistical analysis. Communicate findings, data quality trends, and proposed solutions to senior leadership, ensuring data-driven decision-making. Lead the creation and maintenance of automated test scripts to improve test efficiency. Ensure continuous integration of automated tests into the CI/CD pipeline. Identify gaps in testing coverage and propose solutions. Requirements Statistical Expertise: Advanced knowledge of statistical methods, including linear/non-linear modelling, hypothesis testing, and Bayesian techniques. AI/ML Integration: Strong skills in applying AI/ML algorithms (e.g., neural networks, random forest, anomaly detection) for data quality checks and predictive analysis. Experience with cloud-based environments (AWS, Azure, etc.). Quantitative Finance: Deep understanding of financial instruments, market data, and the use of quantitative methods in portfolio management and risk analysis. Programming Skills: Proficiency in statistical programming languages (Python, R, SQL) and experience with tools like MATLAB, SAS, or similar platforms. Automation: Experience in developing and implementing automated data validation processes, including real-time monitoring and alert systems. Data Governance: Strong knowledge of data management principles, regulatory compliance, and data governance practices, particularly in the context of financial services. Leadership & Mentorship: Ability to mentor and guide junior team members, sharing expertise in statistical analysis, AI/ML, and data quality best practices. Problem-Solving: Excellent analytical skills to identify root causes of data quality issues and implement long-term solutions. Collaboration: Strong ability to work with cross-functional teams, including data scientists, engineers, and financial experts, to enhance overall data quality. Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Medical Signal Processing Software Engineer Location: Chennai, India Job Type: Full-Time Experience Level: 7–10 years About the Role We are seeking an experienced Medical Signal Processing Software Engineer to join our team in Chennai. In this role, you will develop robust pipelines to process biomedical signals, decode proprietary file formats, and contribute to the integration of clinical systems and analytics platforms. This is a hands-on engineering role ideal for someone with a deep understanding of physiological signal data and a passion for building scalable, high-performance tools for medical applications. Key Responsibilities · Design and develop software solutions for biomedical signal processing using Python, C/C++, or Java · Reverse-engineer and decode proprietary binary files from medical monitoring devices · Work with diverse data encoding formats including IEEE floating point, PCM, and BCD · Build and optimize signal processing algorithms using libraries such as NumPy, SciPy, wfdb, BioSPPy, and neurokit2 · Collaborate with MATLAB-based research teams for algorithm development and integration · Convert and standardize physiological waveform data across formats such as SCP, EDF+, HL7 aECG, DICOM waveform, and MIT-BIH · Analyze long-duration cardiac monitoring recordings, including signal segmentation and annotation · Utilize tools like PhysioNet WFDB Toolkit and OpenECG Tools for efficient signal file handling · Inspect and manipulate binary data using hex editors and Python modules like struct and bitstring · Document processing workflows, file formats, and code for maintainability and compliance · Integrate third-party APIs and plug-ins into medical signal processing pipelines Qualifications & Skills · Proficiency in Python; experience with C/C++ or Java is highly desirable · Proven expertise in reverse-engineering binary data formats · Strong understanding of biomedical data standards, especially those used in cardiac monitoring · Solid background in signal processing using Python and MATLAB · Familiarity with binary inspection tools (e.g., HxD, 010 Editor) and relevant Python libraries (struct, bitstring) · Strong problem-solving ability and the capacity to work independently and within cross-functional teams · Experience integrating APIs and third-party plug-ins · Exposure to AI/ML concepts is a plus Preferred Background · Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Electrical Engineering, or a related field · 7–10 years of experience in medical device software development. · Familiarity with cloud platforms and healthcare data pipelines is advantageous

Position Overview We are seeking a motivated and talented AI Engineer at a fresher level to join our dynamic team. This role offers an excellent opportunity for recent graduates or early-career professionals to work with cutting-edge artificial intelligence technologies, focusing on language models, machine learning, and advanced AI techniques. Key Responsibilities · Design, develop, and implement AI solutions using state-of-the-art language models and machine learning techniques · Fine-tune pre-trained language models for specific use cases and domains · Implement and optimize Retrieval-Augmented Generation (RAG) systems for enhanced AI performance · Work with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication frameworks · Develop and deploy machine learning models in local environments · Collaborate with cross-functional teams to integrate AI solutions into existing systems · Conduct experiments and analyze results to improve model performance · Stay updated with the latest developments in AI research and implement best practices · Document technical processes and maintain code quality standards Required Qualifications  Technical Skills · Programming Languages: Proficiency in Python (mandatory) · Machine Learning Frameworks: Hands-on experience with PyTorch, TensorFlow, ONNX, TensorRT, and related ML libraries · Language Models: Strong understanding of transformer architectures, fine-tuning techniques, and language model optimization · AI Techniques: Knowledge of RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and A2A (Agent-to-Agent) frameworks · Statistics: Solid foundation in statistical concepts and their application in machine learning · Local Model Deployment: Ability to set up and run ML models in local environments Core Competencies · Understanding of deep learning fundamentals and neural network architectures · Experience with model training, validation, and evaluation processes · Familiarity with data preprocessing and feature engineering techniques · Knowledge of version control systems (Git) and collaborative development practices · Problem-solving mindset with attention to detail Additional Technical Skills · Programming Languages: Experience with additional languages such as Java, C++, JavaScript, or Go · Specialized Tools: Experience with MATLAB and R for statistical computing and data analysis · NLP Expertise: Background in Natural Language Processing, including text preprocessing, sentiment analysis, named entity recognition, or language understanding tasks · Computer Vision: Knowledge of computer vision techniques, image processing, or vision-language models · Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure ML services · MLOps: Understanding of ML pipeline development and deployment practices

Key Deliverables To lead the development of all aspects of research in Electrical Power Systems Engineering specifically in the space of software defined power ie managing stranded power in a DC. Collaborate with Design and Engineering (D&E) core teams to develop, implement, and manage the DC electrical designs for new development, infrastructure upgrades and rectifications. Specific actions is to look at incorporating the latest technologies with an outcome to reduce costs and bring in specific cost savings Participate in new technology insertions through collaboration with the core engineering team to provide site specific requirements during the development of BOD (even for site specific stuff) Quarterly review of technologies and commercials for key aspects Modelling, simulation and data management. Experience with simulation and modelling software (e.g., MATLAB, COMSOL) Qualifications Have a Master’s or PhD’s degree in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous. Experience in design, construction, and commissioning of medium/Low voltage /High Voltage electrical distribution systems, AC/DC systems, and associated power management/SCADA tools. Prior knowledge on power system condition monitoring Interested candidates can share their updated CV on jayashree.maheshwaran@bdxworld.com

A "Role in Digitalisation" at Praxair India Private Limited is responsible for analyzing operational data, supporting digital transformation, managing key applications, and contributing to AI-driven optimization across global production assets. The role involves collecting, cleaning, and analyzing large datasets from industrial operations, collaborating with cross-functional teams to identify process improvements, and supporting the validation of machine learning models for predictive maintenance and anomaly detection. Additionally, the position includes leading and/or supporting the maintenance and improvement of key global applications, visualizing data, and presenting actionable insights to business stakeholders. Building dashboards and reporting tools using platforms like Power BI or Tableau, collaborating closely with Data Scientists, Process Engineers, and IT teams, and staying updated on digital trends in process industries to suggest innovative improvements are also part of the role. Working at Linde offers limitless opportunities for career growth and development. As a leading global industrial gases and engineering company, Linde is dedicated to providing high-quality solutions, technologies, and services to make the world more productive while sustaining, decarbonizing, and protecting the planet. Employees at Linde adhere to the Linde Code of Ethics and Code of Conduct, demonstrating honesty, integrity, and professionalism in all interactions. The role requires a degree in Chemical Engineering, Process Engineering, or a related field, with a preference for a master's or PhD. A minimum of 2 years of experience in industrial operations, process optimization, and data analytics is essential, with experience in the industrial gases sector or process manufacturing considered a plus. Proficiency in machine learning, SW applications management and support, Python, Matlab, SQL, data visualization tools, strong analytical skills, and a solid understanding of industrial processes and KPIs are also required. Excellent communication skills and the ability to work in international, cross-functional teams are essential for success in this role. If you are inspired by the opportunity to contribute to digital transformation and process optimization in a global industrial setting, we look forward to receiving your complete application by the closing date of 15th August 2025 via our online job market. Linde's commitment to responsible business practices, sustainable development, and customer value makes it an exciting and rewarding place to work for individuals who are passionate about making a positive impact on the world. Join us at Linde and be part of a team that is dedicated to innovation, sustainability, and excellence.,

Qualification : M.Tech /MCA The required skills for the Software Trainers who can teach the following languages Python C++/C/R programming Java HTML, CSS, JavaScript, PHP Networking (Packet Tracer) VMware MATLAB programming Linux SQL/PLSQL Good Communication Skills Experience- 1-15 years and above Place : Sector 82 A, IT City Rd, Block D, Sahibzada Ajit Singh Nagar, Punjab 140306

Position Title: UAV Systems Engineer – Communication & RF Systems Location: Bhubaneswar, Odisha Department: R&D / Systems Engineering Reporting To: CTO Job Overview: We are seeking a highly skilled and experienced Systems Engineer specializing in UAV Communication Systems to lead and innovate in the design, integration, and optimization of secure, long-range, and robust UAV communication architectures. The ideal candidate will have hands-on industry experience with wireless communication , RF systems , satellite communication , and electronic warfare (EW) survivability , including anti-jamming and anti-spoofing techniques . They will contribute to mission-critical communication reliability in tactical and harsh environments, with a deep understanding of both hardware and embedded systems. Key Responsibilities: Lead the design, integration, and validation of UAV communication systems including telemetry, command & control (C2), video transmission, and datalinks. Architect robust, redundant, and secure long-range communication links for UAV platforms (20+ km). Design solutions that are resilient to electronic warfare (EW) threats , including jamming, spoofing, and interception . Evaluate and integrate RF modules , SDRs (Software Defined Radios), and satellite communication systems (e.g., IRNSS/GAGAN, GPS/GNSS with NavIC compatibility). Work closely with avionics and embedded systems teams to integrate RF solutions with onboard computing and electronic boards . Lead component selection down to chip-level analysis and RF chain optimization , including filters, power amplifiers, LNA, mixers, etc. Develop and validate antenna systems , including selection, placement, orientation, and diversity (MIMO, beamforming, etc.). Collaborate with mechanical and design teams to ensure EMI/EMC standards and mechanical integration. Guide and review embedded software development related to communication protocols (e.g., MAVLink, TCP/IP over RF, custom RF stack). Contribute to flight test planning , RF range validation, spectrum monitoring, and field trials. Stay updated on the latest industry standards, MIL specs, EW trends , and communication security protocols.  Requirements: Must-Have Skills: B.Tech/M.Tech in Electronics, Communications, Aerospace, or a related field. 8+ years of experience in wireless communication systems, preferably in UAVs, aerospace, defence, or satellite systems. Deep knowledge of RF circuit design, RFICs , and system-level communication architecture . Strong expertise in anti-jamming and anti-spoofing systems , directional antennas, and frequency-hopping spread spectrum (FHSS). Familiarity with EW threat scenarios and resilient communication architectures. Hands-on experience with Microhard, Silvus, Doodle Labs , Honeywell or other UAV-specific communication modules. Experience working with embedded systems (STM32, PX4/Cube, etc.) , C/C++, and basic Linux environments. Strong understanding of EMI/EMC requirements , shielding, and grounding techniques. Experience in antenna design or selection , radiation pattern analysis, and RF propagation modelling. Good-to-Have: Experience in satellite communication integration and high-altitude UAV comms. Familiarity with regulatory and certification standards (DGCA, ITU, MIL-STD, etc.). Working knowledge of encryption and secure communication protocols. Experience in systems engineering tools (e.g., MATLAB, CST, HFSS, LabVIEW). Exposure to drone flight testing , data logging, and telemetry analysis. What We Offer: Opportunity to work on cutting-edge UAV systems solving real-world problems. Collaborative and fast-paced work culture with deep tech innovation. Autonomy to lead technical decisions and build scalable systems. Competitive compensation, ESOPs, and performance-based bonuses.

You will be responsible for conducting functional type testing of AC protection functions for HVDC stations in accordance with IEC standards. This involves utilizing secondary injection kits and real-time simulation environments and obtaining certification from authorized external laboratories. In this role, you will play a key part in supporting global R&D projects by implementing and verifying the latest technology developments using Hardware in the Loop (HIL) environments. You will be responsible for setting up and maintaining the laboratory environment for various HVDC R&D projects and developing control and protection solutions covering the full development cycle for future HVDC technologies. Your responsibilities will also include developing test cases using EMT tools for testing HVDC control and protection functions in a virtual environment, creating automated test solutions for AC protection functions, and developing virtual unit testing solutions for HVDC protection functions. Additionally, you will assist in resolving issues related to protection functions, conducting pre-studies for proposed control and protection ideas, and suggesting improvements to enhance business operations. As a candidate, you should hold a Bachelor's degree in Electrical & Electronics Engineering or a Master's in Power Systems, along with 2 to 8 years of relevant experience. You should possess knowledge in testing and commissioning of substation control and protection systems, understand various control and protection schematics of HV/LV electrical substations, and have a basic understanding of communication protocols like IEC61850 and MODBUS. Experience with secondary test kits such as Omicron and Doble is required, and familiarity with simulation software like PSCAD, MATLAB, and RTDS is advantageous. Moreover, any experience in power system design and engineering will be beneficial for this role. Knowledge of HVDC control and protection systems and experience with protection test case automation using scripts are considered valuable assets. By adhering to Hitachi Energy's core values of safety and integrity, you will be responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines. If you are a qualified individual with a disability and require accommodation during the job application process, you may request reasonable accommodations by completing a general inquiry form on the Hitachi Energy website. Please provide your contact information and specific details about the accommodation you need to support you in the application process. This opportunity is exclusively for job seekers with disabilities requiring accessibility assistance.,

Department: Advisory Location: Gurugram, India Description From its academic roots, Aurora Energy Research has grown to become the largest dedicated power market analytics company in Europe, providing data-driven intelligence for strategic decisions in the global energy transformation. We are a diverse team of over 1000 experts with vast energy, financial and consulting backgrounds, covering power, hydrogen, carbon and fossil commodities. We are active in the US, Europe, APAC working with world-leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a thriving, rapidly growing company with offices across the globe and more opening soon. We currently serve around 750 of the world’s most influential energy sector participants, including utilities, investors, and governments, and expect to continue to grow rapidly, adding new countries and products to our portfolio. Key Responsibilities Leading advisory projects independently for our clients, across a diverse range of energy transition technologies, business models and strategies, including planning out the work of the team and ensuring we maintain rigorous standards of analysis and clear communication of insights Line management of junior analysts in the team to help them develop and coaching/managing analysts within a project Supporting business development work, for example by contributing delivery plans to our proposals Skills, Knowledge and Expertise Experience of working at a major consultancy, energy company, financial services company, or other knowledge-focused firm or institution First class university degree from premier institute (IITs and IIMs preferred) Demonstrated success in taking responsibility for project and process management in team-oriented environments Proven ability to interpret and derive insight from complex quantitative data and information Demonstrated ability to work on complex energy modelling of hybrid power products in the Indian power sector Previous experience of working on energy-related projects or policy – particularly in an Indian context (preferably in Power and Renewables domain) Preferred understanding of energy modelling, especially power markets Demonstrated experience of working on due-diligence and transaction advisory projects in the Indian power sector Strong problem-solving analytical capability with a high level of aptitude Desirable attributes: Strong understanding of Indian power sector including key regulatory aspects related to power markets and corporate decarbonisation Ability to communicate clearly and co-operate effectively with both technically and non-technically minded people Self-starting, entrepreneurial mind-set, and desire to grow the business. Leadership, management or mentoring experience demonstrated by previous roles of professional responsibility or extracurricular activities Competence in advanced data analytics (e.g. Python, R, Matlab, Advanced Excel) Strong academic record, such as a Master’s degree or PhD in a relevant discipline Benefits The opportunity to substantially influence major decisions in the energy sector Direct engagement with clients through Aurora conferences, workshops and webinars The opportunity to grow into a publicly visible industry expert A fun, informal, collaborative and international work culture A competitive salary package Access to regular coaching and mentoring sessions and the opportunity to learn from experienced professionals Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills within the responsibilities of your role and within the wider context of the industry Access to our Employee Assistance Programme (EAP), offering a complete support network that offers expert advice and compassionate guidance 24/7/365, covering a wide range of personal and professional aspects

At PwC, our people in deals focus on providing strategic advice and support to clients in areas such as mergers and acquisitions, divestitures, and restructuring. They help clients navigate complex transactions and maximise value in their business deals. In deal valuation at PwC, you will focus on providing analysis and valuation services for mergers, acquisitions, and other financial transactions. You will help clients make informed decisions by assessing the worth and potential risks of various deals. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Additional Job Description As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for This Management Level Include But Are Not Limited To Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Performing quantitative and qualitative Valuation-related analyses and modelling, utilizing Excel VBA and/or Matlab, as well as Bloomberg or Fincad; Identifying and addressing client needs, including the following: actively participating in client discussions and meetings; communicating a broad range of Firm services; managing engagements including preparing concise, accurate documents and balancing project economics management with the occurrence of unanticipated issues; Writing and presenting cogently for industry audiences and clients, including journal articles, practice methodologies and tools, and the writing and presentation of whitepapers; Creating a positive environment, monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members, including providing candid, meaningful feedback in a timely manner, and keeping leadership informed of progress

This position is based in Sydney, Australia at UNSW, one of Australia's top research and teaching universities known for its vibrant campus life and strong sense of community and inclusion. As an employee at UNSW, you will have the opportunity to collaborate with the best minds in your field and make a meaningful difference in your career. The School of Mathematics and Statistics at UNSW is a prestigious institution with a diverse range of research interests in applied and pure mathematics, as well as statistics. The school is internationally recognized for its excellence in mathematics and statistics, consistently ranking in the top 100 universities worldwide in these disciplines by CWTS Leiden, US News, and QS. As a Research Associate, you will be involved in collaborative and self-directed research on an ARC-funded Discovery Project titled High Dimensional Approximation, Learning, and Uncertainty. The project aims to develop and implement innovative schemes for high-dimensional approximation that are reliable, accurate, fast, and tailored to specific applications. You will work under the guidance of Professor Frances Kuo and Professor Ian Sloan, contributing to various research activities and outputs. Key Responsibilities: - Conduct research in High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team. - Lead some areas of the project when opportunities arise. - Contribute to writing scientific papers and reports for international journals. - Assist in coordinating research activities and meeting project milestones. - Participate in conferences and workshops relevant to the project. - Supervise honours and HDR students. - Adhere to the Code of Conduct and Values of UNSW. - Ensure compliance with health and safety policies and procedures. Qualifications and Skills: - PhD in Mathematics, preferably in computational mathematics or related field. - Ability to conduct independent research with limited supervision. - Strong interpersonal and communication skills. - Knowledge in Quasi-Monte Carlo methods, finite element analysis, or machine learning is desirable. - Proficiency in computer programming (Matlab, C++, or Python). - Team player with the ability to collaborate across disciplines. - Commitment to UNSW's values, objectives, and policies. - Understanding of health and safety responsibilities. To apply for this role, address the selection criteria specified in the position description. For more information about working at UNSW, visit www.unsw.edu.au. UNSW is dedicated to equity, diversity, and inclusion, encouraging applications from individuals of diverse backgrounds. Flexible work options and workplace adjustments are available for eligible staff. Applications close on August 8th, 2025. For inquiries, contact Frances Kuo at f.kuo@unsw.edu.au. Please apply online as applications sent directly will not be accepted.,

Job Title: Mechanical Development Engineer (FEM/CFD) Location: Greater Noida Job Type: Full time Department: Engineering / Product Development Reports To: Engineering Manager Job Summary We are seeking a highly motivated Mechanical Development Engineer with strong analytical skills and hands-on experience in Finite Element Method (FEM) and Computational Fluid Dynamics (CFD). In this role, you will be responsible for the design, simulation, and optimization of mechanical systems and components to support product development across various stages — from concept through to production. Key Responsibilities  Perform structural and thermal analysis using FEM tools  Conduct fluid flow simulations using CFD tools  Support mechanical design by providing simulation-driven insights to improve performance, durability, and manufacturability.  Develop and validate simulation models using experimental data where available.  Collaborate globally with cross-functional teams including design, manufacturing, and testing.  Prepare technical reports, documentation, and presentations to communicate results to internal stakeholders.  Contribute to continuous improvement of simulation methodologies and development processes.  Participate in design reviews and risk assessments (FMEA, DFMEA).  Stay up to date with industry best practices and emerging simulation technologies. Qualifications  Master’s degree in Mechanical Engineering, or a related field.  3+ years of experience in mechanical product development with a strong focus on FEM and CFD.  Proficiency in simulation tools such as e.g., ANSYS (Mechanical, Fluent), Abaqus, STAR-CCM+, or similar.  Experience with CAD tools (e.g., SolidWorks or CREO).  Strong understanding of mechanical design principles, thermodynamics, fluid mechanics, and materials science.  Ability to interpret and apply engineering standards and codes.  Excellent analytical thinking, problem-solving, and communication skills.  Experience with scripting/automation (e.g., Python, MATLAB) is a plus. Preferred Qualifications  Experience working in a regulated industry (e.g., automotive or ventilation equipment).  Exposure to FMEA, risk analysis, and design verification processes.  Experience in multiphysics simulations.  Exposure to optimization techniques  Familiarity with rapid prototyping  Knowledge of additive manufacturing and simulation of AM parts.  Experience working in an agile product development environment.

As a Machine Learning Engineer, you will be applying your expertise to help develop a world-leading capability in the domain of machine learning. Your responsibilities will include contributing to the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will work on applying machine learning, deep learning, and signal processing techniques on large datasets such as audio, sensors, images, videos, and text to develop models. Additionally, you will be involved in architecting large scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaboration with data scientists and analysts to support the development of ML data pipelines, platforms, and infrastructure will be a key aspect of your role. You will evaluate and validate analyses using statistical methods and present findings in a clear manner to individuals not familiar with data science or computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods, and perform feature engineering to enhance model performance. The required skills for this role include a background and knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with around 5 years of professional work experience in real-world applications. Proficiency in programming languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with knowledge of software engineering concepts like OOP and design patterns, is essential. Familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch is also required. A strong mathematical background with skills in accuracy, significance tests, visualization, and advanced probability concepts is necessary. You should be capable of architecting and implementing end-to-end solutions for accelerating experimentation and model building, as well as possessing knowledge of various machine learning techniques such as clustering, decision tree learning, and artificial neural networks. The ability to conduct both independent and collaborative research, along with excellent written and spoken communication skills, is crucial. Preferred qualifications include a B.E./B.Tech/B.S. degree with 3+ years of experience in the relevant fields or an M.E./M.S./M.Tech/PhD, preferably in Computer Science, with experience in machine learning, image and signal processing, or statistics.,

You have a great opportunity at Leadsoc Technologies for the position of AI/ML Engineer. In this role, you will utilize your 3+ years of professional programming experience in Python/MATLAB to work on AIML models, particularly in the field of Automotive MATLAB. To excel in this position, you should hold a M.Sc/M.Tech/M.S/Ph.D in electrical engineering or computer science, with a specialization in areas related to AIML, wireless, or signal processing. Your strong analytical and problem-solving skills will be crucial for success in this role. Ideally, you should have exposure to machine learning libraries such as Tensorflow or Pytorch. Knowledge of wireless communications and signal processing will be an added advantage. Experience with MATLAB is a must-have for this position. The expected notice period for this role is 3-5 years, and the location is Pune. If you are passionate about AI/ML engineering and have the required qualifications and skills, we encourage you to apply for this exciting opportunity at Leadsoc Technologies.,

As a Data Scientist at our company located in Gurgaon, you will be an integral part of the Flight Safety team. Your primary responsibility will be to leverage advanced analytics and machine learning techniques to enhance safety-related decisions and optimize operational processes. By working extensively with time-series and multivariate data, you will identify anomalies, uncover patterns, and develop predictive models that are essential for improving flight safety and risk mitigation. Your key responsibilities will include performing exploratory data analysis to extract valuable insights from complex datasets, applying advanced anomaly detection techniques to identify safety risks, and developing machine learning models like ANN, RNN, and CNN for predictive safety analytics. You will also be involved in utilizing big data analytics tools, designing custom algorithms, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should possess a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. Additionally, a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, especially in anomaly detection and predictive analytics. Your key skills should include expertise in Data Analysis, Anomaly Detection, Machine Learning & Deep Learning, Big Data Analytics, Python, MATLAB, Custom Algorithm Design, and Data Collection & Preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in aviation safety, work in a collaborative environment, and be part of a team focused on predictive safety and operational excellence.,