Apply now Job no: 500880
Work type: Full-Time
Location: University City - Philadelphia, PA
Categories: Drexel University, Dornsife School of Public Health

Job Summary

The employee will be responsible for the conduct of independent research, development of new projects, mentoring of other lab members, and assisting in laboratory administration in the Drexel Intelligent Machine Perception and Learning (iMaPLe) Laboratory.

Essential Functions

Business Development

• Work with potential business partners to build and maintain a cooperative relationship through the entire cycle from initial meetings, cultivation of prospective research sponsors, proposal development, and progress reporting.

Lab Administration

• Help perform lab administration duties such as lab supply and equipment procurement, equipment management, grant paperwork (including pre-award submissions, post-award budget management, and progress report preparation).

Proposal Writing

• Write proposals, papers, and reports, assisting with development of externally funded projects in machine learning, scene contextual understanding, computer vision, audio recognition, and other AI application areas.
• Assist in technical writing tasks and administrative functions of proposal preparation and submission.
• Keep track of upcoming due dates and solicitations that may be in accordance with the lab's research mission.
• Work with Drexel's research office and ECE/COE staff to coordinate proposal submission logistics.

Research and Collaboration

• Perform research and technical tasks for grants that have been awarded.
• Interact with other Drexel faculty, staff, and students (within or outside of the College of Engineering) on a regular basis.
• Ensure that the relationship with collaborative entities such as other universities and industrial partners remains effective by maintaining knowledge about lab research tasks and personnel to make the proper connections between researchers in the lab and at the collaborator’s institution.
• Ensure projects progress on track in accordance with the proposed timeline at time of award.

System Administration

• Help manage the lab computers and servers, and other hardware.
• Help ensure close to 100% uptime on the servers for research continuity.
• Support and evolve lab hardware and software development initiatives.
• Assist developers in debugging production issues.

Student Mentoring

• Mentor undergraduate and graduate students working in the lab with respect to their own research areas.
• Help students find the resources they require, whether that be physical lab equipment or administrative/financial resources.
• Help students by providing advice and assistance in research and education needs.
• Other duties as assigned. 

Required Qualifications

• PhD or Doctorate in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or a related field
• At least 1 year of relevant experience
• Strong verbal and written communication skills
• Strong knowledge about artificial intelligence in the areas of machine learning, deep learning, time series analysis, computer vision, or audio-based detection/classification
• Experience and working knowledge in machine learning packages such as TensorFlow, Pytorch, etc.
• Strong knowledge in Python programming

Preferred Qualifications

• Experience with or knowledge of government grant management systems (e.g. NSF Fastlane, NIH eRA Commons, grants.gov)
• Experience with Linux server administration

Physical Demands

• Typically sitting at a desk/table
• Typically standing, walking

Location

University City – Philadelphia, PA

Additional Information

This position is classified as Exempt with a salary grade of I. For more information regarding Drexel’s Professional Staff salary structure, https://drexel.edu/hr/career/ducomp/salstructure/

Please review the Benefits Brochure for some information on our benefits offerings.

Special Instructions to the Applicant

Please make sure you upload your CV/resume and cover letter when submitting your application.

Review of applicants will begin once a suitable candidate pool is identified.

Advertised: May 8 2023 Eastern Daylight Time
Applications close: Jun 8 2023 Eastern Daylight Time

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