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"Postdoctoral Fellow in Industrial & Systems Engineering"

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Postdoctoral Fellow in Industrial & Systems Engineering

Postdoctoral Fellow in Industrial & Systems Engineering

The University of North Carolina at Charlotte seeks a Postdoctoral Fellow in Industrial & Systems Engineering.

A Postdoctoral Fellow ("postdoc") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new research techniques, in preparation for an academic or research career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and augment the role of graduate faculty in providing research instruction to graduate students. A Postdoctoral Fellow works under the supervision of a regular faculty member, who serves as a mentor to the Fellow, and it is expected that the faculty mentor will impart the realities, and variety, of scientific careers, and will encourage experiences outside the laboratory to broaden postdocs’ aspirations. Within the confines of the particular research focus assigned by that faculty member, the Postdoctoral Fellow functions with a considerable degree of independence and has the freedom (and is expected) to publish the results of his or her research or scholarship during the period of appointment. Thus, the role of Postdoctoral Fellows is clearly differentiated from full-time technical employees.

Postdoc appointments are characterized by all of the following conditions:

  • the appointee was recently (within the last eight years) awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.);
  • the appointment is temporary;
  • the appointment involves substantially full-time research or scholarship;
  • the appointment is viewed as preparatory for a full-time academic and/or research career;
  • the appointee works under the supervision of a faculty member; and
  • the appointee has the freedom and is expected to publish the results of his or her research or scholarship during the period of appointment.

Duties and Responsibilities

Responsibilities:

  1. Conduct research on AI-driven methods, including reinforcement learning and diffusion models, for molecular and antibody design.
  2. Develop algorithms, run experiments, analyze data.
  3. Collaborate with PI, graduate students, and industry partners.
  4. Prepare manuscripts, conference papers, and presentations.
  5. Help mentor graduate and undergraduate students.
  6. Assist in drafting reports for the funding agency.

Minimum Experience/Education

The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.)

Departmental Preferred Experience, Skills, Training/Education:

  1. D. in Industrial Engineering, Biomedical Engineering, Data Science, Computer Science, or related fields.
  2. The candidate is expected to have a strong background in reinforcement learning, diffusion models, and geometric deep
  3. Candidates with experience working with antibody (or other molecule or material) design will be considered a significant

Please apply online at https://jobs.charlotte.edu/postings/65387

Special Notes to Applicants
Please upload the following documents with your electronic submission:

  1. Cover letter
  2. Curriculum Vitae
  3. Two relevant publications.
  4. Contact information for three references

Finalists will be required to complete a criminal background check and submit their official transcripts.

The University of North Carolina at Charlotte is an equal opportunity employer and does not discriminate against employees or applicants for employment based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, physical or mental disability, veteran status, or any other protected status. In keeping with this commitment, UNC Charlotte ensures that persons of any background are invited, included, and treated equally in the terms and conditions of employment.

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