Lead Research Scientist

Dover is a diversified global manufacturer with annual revenue of over $8 billion. We deliver innovative equipment and components, specialty systems, consumable supplies, software and digital solutions, and support services through five operating segments: Engineered Products, Clean Energy & Fueling, Imaging & Identification, Pumps & Process Solutions and Climate & Sustainable Technologies. Dover combines global scale with operational agility to lead the markets we serve. Recognized for our entrepreneurial approach for over 60 years, our team of approximately 24,000 employees takes an ownership mindset, collaborating with customers to redefine what's possible. Headquartered in Downers Grove, Illinois, Dover trades on the New York Stock Exchange under "DOV." Additional information is available at dovercorporation.com. 

Position: Lead Research Scientist

Exp: 8-12 Yrs

Location: Jigani R & D Lab,bangalore

Roles & Responsibilities

• Candidate shall lead a team of domain experts and collaborate with internal or external domain expert for developing prognostic solutions
• Candidate shall have hands on experience in sensor selection, integration, and condition monitoring solutions for a diversified product portfolio
• Shall build project proposals with detailed business case for different Dover businesses
• The candidate shall be responsible for identifying suitable sensors and configuration of DAQ architecture for condition-based monitoring and predicting remaining useful life.
• Candidate shall be able to develop system level prognostics solutions using either a data driven, or physics driven model.
• Candidate shall have Data analytics skill with hands in AI and ML
• The candidate shall be responsible for setting up physical facilities, developing prognostic competency, preparing the project proposals to different Dover businesses.
• Should have hands on experience and willing to physical work in the lab to research and take ownership in deliver the possible solution/s. Ready to collaborate with knowledge partners (Universities, Research labs, etc), Vendors, Subject Matter experts.
• Shall be consulting with internal stakeholders to determine the scope of the research projects.
• Shall identify the required infrastructure for a given project & make it available (internal or external based on economically viability and usability)
• Shall own up the overall deliverables of team
• Shall optimize the final solution - technically feasible, economically viable, scalable for manufacturing, user friendly for a given application / product.
• Shall document all the process & update the leader.
• Shall demonstrate the program management skills and coordinate different activities under prognostic vertical, interact with different stakeholders/customer to strengthen the project pipeline.
• Shall have up to date knowledge on the ongoing research in the given area at peer industries, academia, competitor’s IP, product offerings etc.

Must Have skills: Prognostics & condition monitoring - capabilities and skills

• Experience with condition monitoring solutions for different mechanical and electromechanical system.
• Experience with developing AI and ML model.
• Experience with temperature, pressure, strain, composition, vibration, current, noise sensors and different sensor technologies
• Experience with setting up labs and facilities for data acquisition.
• Experience with DAQ and microcontroller.

We consider several job-related, non-discriminatory factors when determining the pay rate for a position, including, but not limited to, the position’s responsibilities, a candidate’s work experience, a candidate’s education/training, the position’s location, and the key skills needed for the position. Pay is one of the Total Rewards that we provide to compensate and recognize employees for their work.

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.