Schweitzer Engineering Laboratories
**Project Engineer - Automation** Schweitzer Engineering Laboratories provides complete power system protection, control, monitoring, automation, security and integration for utilities and industries worldwide. We are seeking a Project Engineer - Automation to provide technical support to customers and join our dynamic team! **Position Overview** As a Project Engineer - Automation, you will develop technical proposals and estimation sheets for SPS solutions (LSS/GCS/Microgrid/RAS), interpret RFQ and tender documents, and demonstrate expertise in GCS coding, Microgrid controllers, and RAS coding. You'll master Codsys/IEC61131 platforms, mentor automation engineers in coding and design documentation, and lead GCS project pre-commissioning and commissioning activities. This role offers an exceptional opportunity to build your career with a global leader and innovator in the power protection industry. **Key Responsibilities** - Apply fundamental concepts, practices, and procedures of power system automation and related SEL products - Train and assist customers with creation, design, configuration, validation, installation, commissioning, and operation of automation systems - Prepare and maintain detailed design documents, reports, checklists, test reports, and deliverables - Participate in preparation of functional design specifications - Lead project assignment, completion, and implementation within agreed scope, schedule, and budget while maintaining high quality and safety standards **Qualifications** - Bachelor's degree in Electrical Engineering or relevant discipline - Interest in electric power systems and protective relay applications - Willingness to travel domestically and internationally (minimum 40%) - Desire to gain experience with power transmission, distribution, or generation systems - Interest in expanding knowledge through learning new skills and assuming new responsibilities - Strong collaborative teamwork skills **Location** Bengaluru, India **Why Choose SEL?** Join us for competitive compensation, superior benefits, and inspiring work. We provide comprehensive care for our employees including: - Top-tier medical, prescription, dental, vision, life, and disability insurance - Flexible leave plans including annual, sick, and parental leave for healthy work-life balance - Annual flight tickets to home country for eligible expatriate employees and family members - Professional development programs including tuition assistance, internships, skill development courses, and engineering development programs (EDP) - Wellness benefits including free Employee Assistance Program (EAP) and reimbursable gym membership - International travel medical and security assistance for traveling employees and family members - Additional field compensation for eligible customer site work Starting compensation is based on location and job-related factors including candidate experience, training, knowledge, and skills. SEL is an Equal Opportunity Employer: Vets/Disabled.
Inria
Le descriptif de l’offre ci-dessous est en Anglais Type de contrat : Convention de stage Niveau de diplôme exigé : Bac + 4 ou équivalent Fonction : Stagiaire de la recherche Contexte et atouts du poste Context and funding: This position is funded by the PEPR O2R AS3 project. Within this framework, the HUCEBOT team is developing multimodal strategies for online control and adaptation of dynamic legged robot platforms. This project investigates learning dynamic force-based locomotion skills in legged robots. Current locomotion frameworks often emphasize position-based control rather than the underlying force interactions that govern stability and agility. By focusing on learning time-varying force profiles, the proposed work aims to achieve efficient, adaptive, and dynamically balanced locomotion behaviors, particularly for jumping and other impulsive tasks. About the team: The candidate will join the Human Centered Robotics team (HUCEBOT) in the Inria Center of the University of Lorraine in Nancy, France. The team HUCEBOT develops control, learning, and interaction skills of human-centered robots, such as humanoid, mobile manipulators and exoskeletons. The team develops learning and control algorithms for teleoperated / supervised / autonomous robots, involved in complex manipulation tasks in man-made environments. It also develops AI-based control for wearable exoskeletons designed to assist humans at work, drones and quadrupeds to explore complex environments. The team has excellent robotics facilities, including several humanoid robots (Talos, iCub, G1), manipulators, drones, passive and active exoskeletons, wearable sensors, force plates etc. Its laboratory has a 3D printing facility and a mechatronic workshop for prototyping and maintenance, and a motion capture room with Qualisys and Xsens sensors. The team consists of many research scientists, postdocs, PhD and has the support of 1 software and 1 mechatronics engineer. The team is international - English and French speaking. French is not required, although free French classes are available in the institute for non-French speakers. About the laboratory and Nancy: The Inria Center of the University of Lorraine, is co-located with the Loria laboratory, in the Science and Technology Campus of the University of Lorraine (Nancy, France), next to the Botanical Gardens, at 20 minutes by public transportation or bike from the Nancy train station and City Center. Several student residences and facilities are at walking distance. Nancy is a University town, with a high quality of life and a vibrant student, Erasmus and expat community. Life is Nancy is very affordable compared to Paris, it is easy to find a student residence or apartment. Team members can also access to SUAPS, the University’s sports facilities. About Nancy in France: Nancy is the capital of the Grand Est region in France. It is well connected by train to Paris (90 min), Strasbourg (90 min), Luxembourg and Germany. There are direct trains from Nancy to the Paris airport CDG and the Luxembourg airport LUX. The region around Nancy is ideal for outdoor activities: there are many country trails, long bike trails, forests, mountains, lakes, ski in winter too. Mission confiée This project investigates learning dynamic force-based locomotion skills in legged robots. Current locomotion frameworks often emphasize position-based control rather than the underlying force interactions that govern stability and agility. By focusing on learning time-varying force profiles, the proposed work aims to achieve efficient, adaptive, and dynamically balanced locomotion behaviors, particularly for jumping and other impulsive tasks. The internship is for a 4 to 6 months period and must terminate before mid-July. The candidate will collaborate with Guillaume Bellegarda (researcher) and Serena Ivaldi (researcher). Principales activités Review state-of-the-art in force and impedance-based control for legged robots. Develop learning-based frameworks for discovering optimal force profiles in legged robots (simulation). Generalize learned behaviors to different morphologies and terrains (simulation). Deploy controllers in hardware experiments on the Unitree G1 (and possibly other platforms). Analyze results and write report. Compétences Technical skills: Background in robotics, control, machine learning. Excellent skills and/or experience with simulation frameworks (i.e. Isaac, MuJoCo), reinforcement learning, and force/impedance control Excellent skills in Python, C++, ROS Interest and preferably experience in force control and legged robots Soft skills: Excellent communication skills at work, and ability to report progress Not afraid of challenging projects Rigor and intellectual honesty Curiosity and desire to learn Practical mindset and ability to develop robust and reliable solutions Autonomy and organizational skills Love working in a multi-cultural environment Team player Avantages Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking (after 6 months of employment) and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage Rémunération €4.35/hour Informations générales Thème/Domaine : Robotique et environnements intelligents Calcul Scientifique (BAP E) Ville : Villers lès Nancy Centre Inria : Centre Inria de l'Université de Lorraine Date de prise de fonction souhaitée : 2026-02-01 Durée de contrat : 5 mois Date limite pour postuler : 2026-01-05 Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti. Consignes pour postuler Sécurité défense : Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement. Politique de recrutement : Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap. Contacts Équipe Inria : HUCEBOT Recruteur : Bellegarda Guillaume / guillaume.bellegarda@inria.fr L'essentiel pour réussir Excellent communication in English, French is a plus. Ideal profile: Bachelor / Master Degree studies in Robotics, Control, Engineering, Bio-engineering, or relevant fields. *** IMPORTANT *** We will only consider applications with the following attachments (add them in the PDF when completing the application): 1) Transcripts of your University classes (Bachelor, Master, Engineering School...) 2) Your CV should mention all the places where you studied, starting from High School, so please list High School, University, Bachelor/Master, College, Engineering School, Classe Preparatoires, etc. Please mention city and country. A propos d'Inria Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.
Aarhus University
**Postdoctoral Researcher Positions in AI-based Learning for Physical Simulation** The Department of Mechanical and Production Engineering, Aarhus University, invites applications for two 1-year postdoctoral positions (with possibility of extension) offering applicants an exciting opportunity to join the ERC-funded project "ALPS - AI-based Learning for Physical Simulation". **Expected start date and duration of employment** These are 1-year positions from 1 May 2026 or as soon as possible. **Job description** You will contribute to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. Your work will focus on scientific machine learning methods, including symbolic regression and neural networks. You will apply these algorithms to discover new models in different fields, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. **Your profile** Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar field. **Required skills:** - Strong background in machine learning/data science - Deep knowledge of neural network architectures and training (preferred: PINNs, neural operators, transformers/LLM) - Strong Python programming skills and knowledge of scientific computing libraries (numpy, scipy, JAX) and machine learning libraries (scikit-learn, PyTorch) - Flexibility to adapt to different application fields - Independence and time management - Professionalism, strong research ethics, and commitment to research quality Additional programming experience in C++ or Julia is a plus. **Who we are** The Computational Physics and Machine Learning Lab led by Prof. Lucantonio is a newly established group within the Mechanics and Materials Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students. Our focus is developing new algorithms that allow discovery of interpretable and accurate models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them scalable and available to researchers and engineers for a wide range of applications. **What we offer** Aarhus University offers: - An exciting interdisciplinary environment with many national, international and industrial collaborators - The opportunity to co-supervise PhD and MSc students working in related topics - A workplace characterized by professionalism, equality and a healthy work-life balance **Place of work** Department of Mechanical and Production Engineering, Faculty of Technical Sciences, Katrinebjergvej 89, 8200 Aarhus N. **Application deadline** Applications must be received no later than 31 January 2026. **Application requirements** The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). **Additional information** Appointment shall be in accordance with the collective labor agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations. Aarhus University's ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. Research activities will be evaluated in relation to actual research time. We encourage applicants to specify periods of leave without research activities to allow proper evaluation of scientific productivity. Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counseling to expat partners. The university also offers a Junior Researcher Development Programme targeted at career development for postdocs.