This position is available as a hybrid position in our Wilmington, DE office.*** At The Bancorp, we ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
This position is available as a hybrid position in our Wilmington, DE office.*** At The Bancorp, we ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
Senior AI & Automation Specialist (Hybrid)
Wilmington, DE · Hybrid
$100K - $132K/yr
Position Summary Work Arrangement: ***This position is available as a hybrid position in our ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
Senior AI & Automation Specialist (Hybrid)
Wilmington, DE · Hybrid
$100K - $132K/yr
Position Summary Work Arrangement: ***This position is available as a hybrid position in our ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
Senior AI & Automation Specialist (Hybrid)
Wilmington, DE · On-site
$100K - $132K/yr
Position Summary Work Arrangement: ***This position is available as a hybrid position in our ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
Senior AI & Automation Specialist (Hybrid)
Wilmington, DE · On-site
$100K - $132K/yr
Position Summary Work Arrangement: ***This position is available as a hybrid position in our ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
Senior AI & Automation Specialist (Hybrid)
Wilmington, DE · Hybrid
$100K - $132K/yr
This position is available as a hybrid position in our Wilmington, DE office.*** At The Bancorp, we ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
Senior AI & Automation Specialist (Hybrid)
Wilmington, DE · Hybrid
$100K - $132K/yr
This position is available as a hybrid position in our Wilmington, DE office.*** At The Bancorp, we ... Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath ...
In this position, the scientist will develop innovative flow chemistry solutions to synthesize ... PhD in Organic Chemistry, post-doctoral experience or relevant industry experience is preferred
Quick apply
In this position, the scientist will develop innovative flow chemistry solutions to synthesize ... PhD in Organic Chemistry, post-doctoral experience or relevant industry experience is preferred
Robotics Phd Positions information
What are the key skills and qualifications needed to thrive as a Robotics PhD candidate, and why are they important?
To thrive as a Robotics PhD candidate, you need a strong background in robotics, computer science, engineering, mathematics, and a relevant undergraduate or master's degree. Familiarity with programming languages (like Python, C++), robotics simulation tools (such as ROS, Gazebo), and experience with research methodologies are typically important. Critical thinking, creativity, and effective communication are essential soft skills for contributing novel ideas and collaborating within research teams. These skills and qualifications are crucial for successfully conducting advanced research, publishing results, and advancing the field of robotics.
Who are the big 4 in robotics?
The 'Big 4' in robotics typically refers to leading companies in the field, which include Boston Dynamics, ABB, FANUC, and KUKA. These companies are known for their advanced robotics hardware, automation solutions, and research contributions, making them prominent employers and collaborators for robotics PhD positions.
What can I do with a PhD in robotics?
A PhD in robotics prepares individuals for advanced research, development, and engineering roles in industries such as manufacturing, healthcare, aerospace, and autonomous vehicles. Graduates often work as robotics engineers, research scientists, or system architects, utilizing skills in programming, control systems, and machine learning. They may also pursue academic positions or leadership roles in technology development.
What are the common research areas and collaboration opportunities for students in Robotics PhD positions?
Robotics PhD students typically focus on advanced topics such as machine learning for robotics, human-robot interaction, autonomous systems, and robotic perception. These positions often involve interdisciplinary collaboration, working closely with faculty, industry partners, and peers from fields such as computer science, electrical engineering, and mechanical engineering. Students regularly participate in lab meetings, joint research projects, and may have opportunities to contribute to conference publications or internships. This collaborative environment not only enhances learning but also opens pathways for future academic and industry careers in robotics.
Is robotics a dead field?
Robotics PhD positions are still highly relevant as robotics continues to advance in areas like automation, healthcare, and manufacturing. The field requires skills in programming, control systems, and machine learning, and offers ongoing research and development opportunities. Robotics remains a dynamic and growing area within engineering and computer science.
What is the difference between Robotics Phd Positions vs Robotics Engineer?
| Aspect | Robotics Phd Positions | Robotics Engineer |
|---|---|---|
| Required Credentials | PhD in Robotics, Engineering, or related field | Bachelor's or Master's in Robotics, Mechanical, Electrical, or Computer Engineering |
| Work Environment | Research labs, universities, academic settings | Industry, manufacturing, technology companies, startups |
| Employer & Industry Usage | Academic institutions, research organizations | Private companies, tech firms, industrial sectors |
| Common Search & Comparison Intent | Academic research, advanced study, research positions | Practical application, product development, engineering roles |
Robotics Phd Positions focus on advanced research, theoretical development, and academic pursuits, often requiring a doctoral degree. Robotics Engineers typically work on designing, developing, and implementing robotic systems in industry, often with a bachelor's or master's degree. Both roles involve robotics but differ in their focus, environment, and qualifications.
What are Robotics PhD positions?
Robotics PhD positions are research-focused academic roles for students pursuing a doctoral degree in robotics. These positions typically involve conducting original research in areas such as artificial intelligence, mechanical engineering, computer vision, or control systems related to robotics. Students often work under the supervision of a faculty advisor, contribute to academic publications, and may also assist in teaching or mentoring. Admission to these positions usually requires a strong academic background in engineering, computer science, or related fields, as well as a demonstrated interest in robotics research.
How much do PHD in robotics make?
PhD holders in robotics typically earn between $80,000 and $130,000 annually, depending on experience, industry, and location. Salaries are higher in sectors like aerospace, automation, and research institutions, and advanced skills in programming, machine learning, and hardware integration can influence compensation.
What are popular job titles related to Robotics Phd Positions jobs in Delaware? For Robotics Phd Positions jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Robotics Phd Positions jobs in Delaware look for? The top searched job categories for Robotics Phd Positions jobs in Delaware are:
What cities in Delaware are hiring for Robotics Phd Positions jobs? Cities in Delaware with the most Robotics Phd Positions job openings:
Other
Re-posted 3 days ago
Job description
Senior AI & Automation Specialist (Hybrid)
Job Location US-DE-Wilmington
Work Arrangement:
***This position is available as a hybrid position in our Wilmington, DE office.***
At The Bancorp, we've spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.
- Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
- Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
- Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
- Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
- Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
- Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
- Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
- Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
- Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
- Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
- Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
- Performs other duties as assigned.
- No travel required.
Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
Education / Experience Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
- Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
- Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
- Proven ability to lead complex, cross-functional technology initiatives.
- Experience integrating AI capabilities into operational workflows and automation platforms.
- Strong understanding of model risk, data governance, and regulatory considerations within financial services.
Preferred Qualifications
- Advanced degree (Master's or PhD) in AI, Data Science, or related discipline.
- Experience with NLP, document intelligence, and predictive modeling techniques.
- Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
- Familiarity with enterprise AI governance frameworks and model lifecycle management.
- Strong understanding of cloud-based AI architecture and API-driven integrations.
- Exceptional stakeholder engagement and ability to translate technical concepts into business value.
- Experience building or scaling intelligent automation programs within financial services.
- Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
- Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
#LI-PJ1
#LI-Hybrid