RSS Feed Source: Academic Keys

JOB TITLE
Online Adjunct Teaching Professor – Robotics Engineering

LOCATION
Worcester

DEPARTMENT NAME
CPE- Instructors – JM

DIVISION NAME
Worcester Polytechnic Institute – WPI

JOB DESCRIPTION SUMMARY
Worcester Polytechnic Institute is seeking part-time adjunct faculty to teach online graduate courses in our Online Division of Graduate Studies. Of most importance are candidates with expertise in Computer Vision and Autonomous Vehicles. Positions will be filled on an as-needed basis. Start dates will vary by course and semester.

WPI is passionate about creating an inclusive workplace that promotes and values diversity. We are looking for candidates who can support our commitment to equity, diversity and inclusion.

JOB DESCRIPTION

An Adjunct Teaching Professor will teach graduate courses in an online/asynchronous delivery method. All courses listed in the WPI online curriculum in Robotics Engineering are of interest, particularly Computer Vision and Autonomous Vehicles – https://www.wpi.edu/academics/online/study/robotics-engineering-ms. Applicants should specifically identify which courses would be the best fit for their expertise.

An ideal

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

Research Opportunities

Power Systems

Work description

1) Development of methodologies to explain the results of power grid optimization problems, combining operations research and artificial intelligence.

2) Develop methodologies that combine physical models with data-driven machine learning methods.

3) Validate the developed methodologies using real data.

4) Disseminate the work in international journals and/or conferences.

Minimum profile required

Previous academic background in or electrical engineering or applied mathematics or computer science or informatics or similar.

Preference factors

Past experience (or academic background) with machine learning. Academic background in energy systems. Programming knowledge in Python.

Maintenance stipend: € 1851.00, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50% of the monthly maintenance stipend. 

INESC TEC supports costs with registration, enrolment or tuition fees, during the grant duration, under the terms established in the internal document: “Payment of Tuition fees to grant holders”. 

The grant holder will benefit from health insurance, supported by INESC TEC.

Application Period

Since 22 May 2025 to 22 Jun 2025

Centre

Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

Research Opportunities

Power Systems

Work description

1) Development of methodologies to explain the results of power grid optimization problems, combining operations research and artificial intelligence.

2) Develop methodologies that combine physical models with data-driven machine learning methods.

3) Validate the developed methodologies using real data.

4) Disseminate the work in international journals and/or conferences.

Minimum profile required

Previous academic background in or electrical engineering or applied mathematics or computer science or informatics or similar.

Preference factors

Past experience (or academic background) with machine learning. Academic background in energy systems. Programming knowledge in Python.

Maintenance stipend: € 1040.98 or 1309.64, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC

Click this link to continue reading the article on the source website.