The principal responsibility of this full-time tenure-track faculty position is to engage in effective teaching of physics lecture and laboratory courses for both majors and non-majors, including upper division courses. The normal teaching load is 12 credits per semester. For the first three years, there is external support for three credits of research reassigned time each semester and two months of summer salary. The successful candidate will assume a leadership role conducting research with undergraduates in an on-going area of astrophysics research associated with the IceCube Neutrino Observatory and other projects supported by the Wisconsin IceCube Particle Astrophysics Center at UW-Madison
Additional responsibilities include: academic advising of undergraduates, mentoring student projects, collaborating with colleagues in departmental activities, and significant contributions at the departmental, college, university, community, state, national, or international level in areas related to professional expertise. The candidate will be expected to work with undergraduate students on research projects and engage in scholarly activity. These activities may include publishing in professional journals, or attendance and presentations at professional meetings.
The successful candidate will be expected to seek outside funding to support astrophysics projects at UWRF. The successful candidate will also be expected to recruit and train students, develop appropriate projects, and seek opportunities for presenting student research.
> Education: Ph.D. in Physics, Astronomy, Applied Physics, or closely related field
> Demonstrated experience with Astrophysics
> Demonstrated awareness of and sensitivity to diverse student populations and ability to contribute to the University’s commitment to enhancing student awareness and appreciation of diverse ethnic and cultural heritages.
Knowledge, Skills and Abilities:
• Demonstrated proficiency with cosmic ray, neutrino astronomy or particle astrophysics experimental design, data analysis and/or simulations.
• Proficiency with data analysis and simulation software with an ability to learn and teach new tools.
• A commitment to engage and stimulate a wide range of undergraduate students both inside and outside the classroom.